Abstract
Behavioral health disorders are well-known to have close links with the social determinants of health, yet little is known about how impacted communities perceive these links. Qualitative participatory methods can not only provide insight into how communities conceptualize these relationships but also empower those with lived experience to contextualize their perspectives and formulate calls to action. This study used Photovoice as a participatory method to supplement the Clark County Health Department Community Health Assessment and determine priority facilitators and barriers contributing to the behavioral health of Clark County, KY, residents. A secondary aim was to gain a greater understanding of how the Photovoice methodology impacts community engagement efforts in Community Health Assessments. Twenty-three Clark County residents participated in four Photovoice groups involving five weekly sessions, which included photograph “show and tell,” critical group dialogue, participatory analysis, and planning for dissemination. Secondary analysis of Photovoice focus group discussions revealed behavioral health facilitators and barriers were most influenced by (1) public sector unresponsiveness, (2) strong partnerships formed between community and grassroots organizations, and (3) the siloed division of responsibility between agencies and across sectors. The authors also found the Photovoice method successfully enhanced engagement and empowered those with lived experience to frame their perspectives of the behavioral health landscape. This project has implications for enhancing community engagement and empowerment in behavioral health–focused public health assessments and shaping policy to promote multi-sector collaboration.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Community-Based Assessments of the Social Determinants of Behavioral Health
Behavioral health issues (e.g., mental illness, substance use disorders [SUDs]) remain a major public health crisis in the United States. The National Survey on Drug Use and Health estimated that 59.4 million American adults had a mental illness in 2022, and 13.2 million adults had thoughts of suicide.2 Additionally, 17.3% of those 12 and older had a SUD, although 94.7% of adults did not receive treatment.2 These data underscore the pressing need to improve safety nets given the impact of social determinants on behavioral health outcomes.3 The biopsychosocial model acknowledges that SUDs and mental illnesses are biological conditions interwoven with social, community, and environmental factors, including employment, healthcare access, urbanicity, and poverty3,4,5,6,7,8,9,10 It is also important to recognize the two-way connection between behavioral health and social determinants, as behavioral health can affect social issues including homelessness, legal system involvement, education, and economic insecurity.3,11,12,13 Given this complex interplay, it can be difficult to prioritize the specific health or social determinants in communities that require immediate focus and resource investment to improve behavioral health outcomes.
To identify these strategic priorities, many local health departments conduct Community Health Assessments (CHA) and subsequent Community Health Improvement Plans (CHIP) every 5 years to achieve and maintain accredited health department status by the Public Health Accreditation Board (PHAB).14 Some unaccredited health departments also choose to complete a CHA/CHIP considering the evidence that routine utilization improves public health decision-making and actions.15 Numerous guides have been published on best practices for CHA/CHIP processes, with broad, proactive, and diverse community engagement designated as a foundational component.16,17,18,19,20,21,22 Such collaborative action is particularly crucial in addressing the behavioral health crisis by elevating the voices of those marginalized by stigma or discrimination.23,24 Community-engaged needs assessments also combine a range of perspectives for collective questioning and planning, which ultimately allows for knowledge production rather than solely data collection on what is already known.25,26,27
One established approach to community-engaged needs assessments is Photovoice, a powerful qualitative participatory action research method that has been used to study SUDs and mental illness, including designing recovery interventions,28 eliciting insights about lived experiences,29,30,31,32 illustrating protective factors for recovery in minoritized populations,33 and combatting stigma.34,35 For example, one study demonstrated the use of Photovoice among minoritized SUD clients to drive discussions regarding policy change, generate knowledge on recovery, and improve culturally appropriate services.33 A recent review described Photovoice as an “ideal method for research” for those in recovery because its participant-driven nature allows for a more complex understanding of individual narratives.36 The method involves engaging community stakeholders to identify, represent, and enhance their community through photography and critically analyze illustrated issues in group dialogue.37 To achieve these goals, Photovoice projects entail the following: (1) organizing participants as co-researchers to identify and photograph facilitators and barriers to community wellbeing, (2) guiding critical group dialogue with the SHOWeD method to analyze the identified facilitators and barriers,38 and (3) reaching decision-makers to advocate for change in response to identified community needs.37,39,40,41
The participatory nature of Photovoice makes this methodology particularly appropriate to inform CHA/CHIP efforts by synergizing their goals of determining, recording, and reflecting on community facilitators and barriers, addressing issues, and promoting stakeholder ownership with community-driven dialogue of change.37 Additionally, the potential of Photovoice to increase engagement with and empowerment of stigmatized communities is especially important for behavioral health–focused public health assessments.42 Unfortunately, reporting on Photovoice projects typically omits evaluation of the characteristics of decision-making audiences of Photovoice exhibits, the effects of the experience on participants and other community stakeholders, and the outcomes of exhibitions on policy-making and social change, which is important to assess given that the third facet of Photovoice defined by the method’s originators emphasizes having actionable impacts on policy.37,39,40,43,44 Embedding Photovoice into CHA/CHIP strategic planning and local policy-making can enhance the evaluation of its instigated social and policy change through the CHA/CHIP’s cyclical monitoring structure.
Community-Engaged Behavioral Health Assessment Using Photovoice: A Kentucky case
Although the importance of community ownership of CHA initiatives is well-known, successful implementation of robust engagement remains a challenge.45,46 Previous research utilizing community participation focused on interventions rather than identifying health facilitators or barriers,47 have not cited participation frameworks or emphasized power structures,47,48,49 and have tended to focus heavily on the perspectives of healthcare leaders and practitioners rather than those of affected individuals and communities.50,51,52 Despite the potential for CHAs, Photovoice, and behavioral health research to enhance one another, there are currently no studies that combine their goals.
This study addresses these research gaps by leveraging the local knowledge of community members in rural Clark County, KY, to collaborate with the Clark County Health Department (CCHD) through their 2022 CHA, with many participants contributing their expertise of lived behavioral health experience. Rural Clark County is a prime context in which to study efforts to improve social determinants of behavioral health considering the extent of the mental health and SUD crisis. In comparison to the United States population, Clark County residents have disproportionately higher rates of overdose deaths per 100,000 (65 vs. 23 in Clark County vs. US respectively), poor mental health days per 30 days (6.0 vs. 4.4), frequent mental distress (18% vs. 14%), patient to mental health provider ratios (1000:1 vs 340:1), and adult smoking (23% vs. 16%), which are heightened by social disparities such as higher prevalence of poverty status (15.4% vs. 11.5%), food insecurity (14% vs. 12%), and lower access to exercise opportunities (77% vs. 84%).53,54,55 In a 2022 survey of 46 local health departments across Kentucky, substance use (73.9%) and mental health (52.2%) were the top two most commonly identified CHIP focus areas.56 Given the severity of this public health issue, this case study aims to uncover the perceived facilitators and barriers to behavioral health using Photovoice in a rural Kentucky county. A secondary goal is to gain a greater understanding of employing this method to improve community engagement in CHA initiatives.
Methods
Primary Data Collection
The current study began after the CCHD Director of Performance Management and Accreditation (and second author) experienced the Photovoice method as a participant in the HEALing Communities Study, an active randomized waitlist controlled trial funded by the National Institute on Drug Abuse and Substance Abuse and Mental Health Services Administration.57,58,59 In late summer 2022, the second author reached out to the senior author to implement the Photovoice method in the CCHD CHA process. In September 2022, the CCHD recruited 23 Clark County residents through listservs, civic groups, coalition meetings, pop-up events, and other communication channels. The study received a Not Human Subjects Determination from the Institutional Review Board at the senior author’s institution as it was classified as a quality improvement project and thus exempt from further oversight. Researchers created an abbreviated consent form (not IRB-reviewed) to inform participants about data usage for the CHA/CHIP process.
Procedures
The second author organized four weekly Photovoice groups in October and November 2022 with the third author (note-taker/analyst) and senior author (primary coordinator). Participating co-researchers were assigned to their group based on scheduling availability (e.g., preference to meet on Tuesday evenings vs. Wednesday mornings) and received a $10 gift card for each session. The 90-min sessions, with participant permission, were audio-recorded, transcribed verbatim using Zoom’s business account feature (names replaced by ID numbers), and reviewed for typographical errors by the third author. Sessions included an orientation using the nominal group technique to generate a list of community health facilitators and barriers to photograph in Clark County.60 This was followed by two photo discussion sessions and an analysis and action planning session for co-researchers to collaboratively analyze their photos, notes, and prior discussions for dissemination at community health forums. Discussions followed the framework of the SHOWeD method, which includes a “show and tell” of photos with co-researchers sharing what their images picture, where they were taken, how they connect to community health facilitators or barriers, discussions of prevalence, why the issues or assets exist, what to do about these issues, and key players who should be involved with solutions.38 A fifth joint session was added at the request of some co-researchers to collectively plan for the community forums. Specific details on each session and the SHOWeD method are included in Figure 1. Procedures followed established methods for conducting and reporting qualitative research, as per the Standards for Reporting Qualitative Research.1
Participatory Analysis
Coordinators took notes and analyzed discussions during Sessions 2 and 3 employing the Socioecological Framework,61 identified key themes, and presented them to co-researchers for reflection in Sessions 3 and 4. In Sessions 4 and 5, co-researchers analyzed facilitators and barriers with organized notes, quotes, and photos. Participants used the analysis and Photovoice insights to choose each group’s top three community health facilitators and barriers, write captions, and prioritize “calls to action” for the CHA effort. The coordinators and a contracted graphic designer (also a Photovoice group member) created displays of the top-three rankings and participant-generated photo/caption combinations in the form of a presentation, posters, and postcards for community health forums in November and December 2022.
Community Forum Exhibit and Evaluation
Co-researchers submitted 112 photos and developed 89 photo/caption combinations. For the community forums and subsequent coalition meetings, 50 postcards were printed of each photo/caption combination for distribution. A poster was produced for each group’s top three facilitators and top three barriers as well as a larger movie-sized poster reflecting the top three facilitators and barriers of all groups combined. The final poster and postcards are available at https://www.ccactivitycoalition.com/photovoice2022.62 Each group displayed their poster and postcards at two community forums with group representatives on hand to answer questions. Between the forums, the county judge executive placed the Photovoice posters in the courthouse to increase awareness and to promote the December forum.
Online and paper surveys were distributed to collect feedback from Photovoice co-researchers and community forum attendees, assessing project goals achievement and the impact of the Photovoice process on the forums. Using Likert-type scales, participants were asked to indicate the extent to which they felt involved and empowered by their Photovoice work and the extent to which the project met Photovoice’s three goals. The survey included five open-ended questions for participants to describe their Photovoice experience, the most impactful elements, and the intended actions inspired by the project.
Secondary Thematic Analysis
The first author conducted a secondary thematic analysis on data from the participatory analysis, including photo/caption combinations, topically organized notes, transcripts, and evaluation data, to identify underlying themes of participant-generated facilitators and barriers to community behavioral health. Consistent with participatory action research principles, photos were coded based on the content of associated captions that participants wrote. NVivo software was used to develop themes with Braun and Clarke’s six-phase qualitative thematic analysis method.63 This process involves familiarizing analysts with the data, generating initial codes, developing themes, reviewing potential themes, defining themes, and producing the report.63 Given the exploratory nature of the study, predominantly inductive analysis was initially employed to create behavioral health-specific topical codes using participant-identified topics as a starting framework (e.g., access to behavioral healthcare, harm reduction, stigma). Broader categories and preliminary themes were incorporated as additional latent codes to identify underlying systemic successes or failures that shaped behavioral health (e.g., awareness, grassroots efforts, community partnerships). Considering the broad range of determinants, the authors felt it important to incorporate data from discussions that were not explicitly about SUD or mental illness but still potentially impacted behavioral health in larger structural or systemic ways. After applying the manifest behavioral health topic codes to analyze data that explicitly addressed behavioral health, the first author completed a deductive analysis using behavioral health a priori codes on discussions that did not explicitly mention behavioral health. The first and senior authors met weekly–biweekly to reflect on the coding process, determine links between major concepts, and review developing themes. A final member-check exercise reviewed the results of the secondary analysis with participants to incorporate feedback during the manuscript revision.
Results
Sample Characteristics
Twenty-three Clark County co-researchers, aged 26 to 73 (mean 49 years), joined the Photovoice team. Participants, diverse in education, included a higher proportion of non-white and female members compared to the general Clark County population.54 As of July 2022, Clark County had a population of 37,061 and is classified as rural by its Rural–Urban Commuting Area code using the 2020 census population data.54,64 Both community forums had a combined attendance of 76 individuals and representation from 24 organizations. See Table 1 for additional characteristics.
Facilitators and Barriers to Community Behavioral Health
Although not explicitly asked, co-researchers discussed behavioral health extensively due to its interconnectedness with other community health topics. A participant highlighted behavioral health as a public health crisis, stating, “This [behavioral health challenges] is a big problem in Clark County and a lot of counties in Kentucky and over the nation.” During the generation of community health topics, behavioral health was consistently mentioned in all four groups, with the following identified as crucial for depiction through photos: mental health and recovery stigma, lack of mental healthcare providers and services, changes from punishment to treatment, harm reduction, resources for dual diagnoses, SUD support groups, overdose emergency response, connections between SUD and housing, need for mental health awareness, problems of recidivism for those with mental illness, lack of employment and education opportunities for those in recovery, need for more rehab and sober living facilities, and SUD crises in youth. Thematic analysis revealed the barriers and facilitators to community behavioral health fell within three major themes: (1) individuals vs. government: who’s responsible?, (2) the power of partnerships among community organizations, and (3) linking facilitators and barriers: the cycle of public unresponsiveness to local calls for behavioral health investments.
Barriers: Individuals vs. Government: Who’s Responsible?
Co-researchers identified the following as the most pressing community health barriers: environmental justice and hazardous conditions, lack of affordable housing and public infrastructure, local government non-responsiveness to community health issues, health disparities between “haves and have-nots,” lack of safe transportation or walkability, loss of community activities/shopping venues/restaurants, and intersections of houselessness with behavioral health challenges. Conversations highlighted the insufficiency of public sector systems as an underlying contributor to these community health barriers. The following quote underscores the lack of government responsiveness as a major barrier to overall community health: “I would like to say we need to involve our county officials and stuff in this. But that’s not going to work… It’s not something the mayor’s gonna go help.” Another participant ironically stated, “They’re [the government] supposedly in charge of keeping citizens safe.” An additional concern of government responsiveness is illustrated in Figure 2.
Co-researchers echoed this frustration with public sector support for behavioral health. A participant who was an employee of a recovery nonprofit explained, “The expectation was for the (nonprofit) director to present to city commission and use our own funds that we raise, not taxpayer funds, to do projects. And it was really hard to get anything to take one step forward.” In the absence of government-provided upstream safety nets, downstream services, and funding, passionate “boots on the ground” individuals are left to “do it ourselves” to implement solutions without structural supports. In the words of one co-researcher, “Citizens don’t wait for the government to do things. They get things done, they do it themselves.” Co-researchers perceived the work of caring individuals and community groups as the sole reliable solution to behavioral health issues in the absence of public sector support. Emphasis was placed on grassroots and volunteer efforts in the non-profit sector carrying a significant portion of responsibility. One co-researcher explained, “Most agencies that serve people in this community have been a grassroots venture that have grown out of an identified problem.” Volunteers and non-profit employees expressed the need to “step up” and bridge gaps in the fragmented behavioral healthcare continuum. One co-researcher described their community dynamics as “good people giving back, regardless of not being heard by their elected officials.” Frustration arose regarding the responsibility falling on grassroots initiatives led by service users, passionate family members, and community allies to navigate challenges and implement solutions.
Facilitators: The Power of Partnerships Among Community Organizations
Participants identified the following as key community health facilitators in Clark County: community gatherings, assets in the social safety net, services and supports promoting community health, access to health/community health assets, parks, and recreation, Clark Regional Medical Center expansion and leadership, and resources working together to meet community needs. Community partnerships were central to many facilitators and significantly contributed to their inherent strengths. A co-researcher stated, “They have all just morphed out of folks discussing together community problems and then bringing in other people to try to help solve them. And the strength of a collaborative community, it’s been a major factor in things happening here.” Many behavioral health and related social service organizations were recognized as significant community supports: “It seems like Clark County has a good amount of private nonprofit organizations that serve health needs. That’s definitely a benefit.” Co-researchers highlighted partnerships among non-profits and coalitions facilitating behavioral health services; for example, one said, “Without everybody, this place wouldn’t stand a chance. You need all those partners.” Another corroborated this by saying, “All the community partners, without the community, we can’t do what we do.”
Notably, partnerships between substance use-related nonprofits and the criminal legal system have driven a shift from a punitive to a rehabilitative approach. An employee from a recovery non-profit highlighted their strong partnership with the sheriff’s department, “what a strength they were in the community, how they’re a strong partner of (nonprofit)… They’re like family to us.” Additional community strengths were observed in partnerships between local hospitals, community service providers, courts, law enforcement, the local health department, and nonprofit organizations involved with sober living facilities and MOUD clinics. See Figs. 3 and 4 for visual representations.
Linking Facilitators and Barriers: the Cycle of Public Unresponsiveness to Local Calls for Behavioral Health Investments
The lack of robust public sector support emerged as a major barrier to addressing community behavioral health, prompting reliance on individual volunteers and grassroots efforts to devise and implement solutions. Many of these nonprofit and grassroots-led organizations were then identified as significant strengths, bolstered by the partnerships they formed throughout the community. The importance of these community partnerships appears to be a direct and natural response to the lack of structured behavioral health services provided by the public sector. In attempting to tackle large, systemic behavioral health issues, the decentralized nature of individual and grassroots-driven efforts compels reliance on community partnerships to bridge the gaps among fragmented services.
However, co-researchers highlighted issues associated with relying on grassroots efforts and the partnerships needed to fortify them. One explained the sheer difficulty of starting initiatives and noted that passion is not always sufficient to implement solutions: “Assets that the community does have exist because it had those champions that were willing to take the long view and to ride it out. But that doesn’t happen in every case.” They also stressed the fragility of depending on partnerships, particularly in the face of changes in relationships, funding, policy, or other social contexts. Discussing their concern regarding the continuation of a jail diversion program given an anticipated policy change, one co-researcher said, “What does that look like for that response program? With assisting those individuals?… It kind of puts a wrench in our interventions that we have in place for our community along with drug court. If they fail drug court, they’re not gonna go to where we have resources.” Another highlighted instability in a system reliant on soft-money funding for nonprofit organizations: “since they are a nonprofit and they depend on funding from the community, they’re limited on what they can and can’t do depending on how much funds they get. They always have a very tight budget.” A perceived gap existed between the work of nonprofit organizations in behavioral health and the public and philanthropic mechanisms funding this work.
With the resultant mosaic of services defended by fragile inter-organizational networks, a participant noted, “We need someone from the health department, from the recovery nonprofit, from the homeless coalition, get everybody to sit down with the city commissioners, the people with funding.” Despite frustration with the public sector, co-researchers continued to call attention to the persistent need for governmental involvement and support. Another participant noted, “We’re gonna let these judges, these politicians, all these people know, ‘Hey look, we’re doing the right thing. You need to back us up.’” Despite strong community organizations connected through partnerships, individuals involved in community-driven efforts felt the need to showcase success to secure government support. The “do it ourselves” mentality exists alongside acknowledgment of the importance of governmental support, creating a nuanced interplay where grassroots efforts led by individuals who “step up” still seek government endorsement. Another co-researcher described the complexity, saying, “It’s a complex problem that is multidimensional and the citizens have to do their piece. The government has to do their piece, the nonprofits and other organizations need to do their piece. And I guess the challenge is bringing all that together in a useful way that makes things better.” Co-researchers noted that interventions to address the behavioral health crisis should not be confined to a singular sector but instead employ a more interdisciplinary approach involving collaboration across sectors. Specifically highlighted was the need for more government support in the form of funding, exhibited by a co-researcher who stated, “It costs money to care. I mean, it takes money to actually put care into action.”
As a result, co-researchers advocated for a reassessment of behavioral health governance and the division of cross-sector responsibilities. Several suggested enhancing collaboration between the community and public sector: “I would love to experience something to know the ins and outs of our local government so then your grassroots projects could be better informed.” As illustrated in Figure 5, co-researchers emphasized the importance of cohesive action by both community and government: “A revolutionary approach needs to be taken to the way we conduct our public works from the governmental angle. And the communities also have to be willing to step up, the citizens have to be willing to step up.” By restructuring the dynamics of responsibility, addressing gaps across sectors, and matching community-identified needs to municipal resources, a more coherent and responsive system can be developed to address the multifaceted challenges of the behavioral health crisis.
Although comprehensive analysis of exhibit evaluation data is beyond the scope of this paper, it is noteworthy that these data from Photovoice co-researchers and community health forum attendees indicated that the project itself strengthened the connection between local government and community-defined behavioral health needs. Upon reflection, the second author noted that Photovoice increased non-health department engagement and showcased community ownership of the CHA process. All participants strongly agreed or somewhat agreed that the Photovoice project helped them better understand community health facilitators and barriers in Clark County, made them think more critically about how and why they exist, felt highly involved in the topic development and discussion process, and felt empowered to take action to improve community health. In post-project evaluations, a co-researcher remarked, “I think the photos showed proof of the strengths and concerns. It wasn’t just somebody talking about them. The citizens actually saw them.” Their photographic documentation became a testament to co-researchers’ concerns and advocacy. Audience members, viewing behavioral health issues through the lens of Photovoice teams, expressed transformed perceptions. One attendee stated, “It was an eye-opener for us with the struggles of drugs and alcohol in our area.” The calls to action shared at the end of each Photovoice group presentation exemplify the potential of this method to reconcile disconnects between citizen priorities and local government investments: raising awareness about the extent of homelessness intersecting with behavioral health challenges, continuing education and community collaboration to address SUD and serious mental illness, promoting the use of diversion as the primary intervention by the court system rather than incarceration, and working with local government officials to research the development of affordable housing options.
Discussion
Although the determinants of behavioral health have been studied, few prior studies use a bottom-up community-engaged framework empowering community perceptions. Employing Photovoice, this study explores perspectives on facilitators and barriers to community behavioral health in the Clark County, KY, CHA. The results enhance our understanding of systemic assets and issues shaping the behavioral health landscape, contributing to our limited knowledge of how communities perceive links between social determinants and behavioral health. Additionally, it offers a case study on using Photovoice in CHA efforts addressing behavioral health.
Findings raise concerns about the division of responsibility in behavioral health governance. Notably, there was a call for attention to the inadequacy of public infrastructure in providing sufficient care, resources, and treatment. Consequently, a grassroots sentiment has emerged: if the public sector is unwilling or unable to address the gaps in the behavioral health continuum, then passionate individuals and impacted communities take matters into their own hands. Connections between facilitators and barriers highlight the fragility of a behavioral health system dependent on individual efforts and facing logistical challenges, unstable funding, and difficulties amid social or political changes. Community members find the division of responsibility for providing behavioral health infrastructure inadequate, asserting that the formation of individual agencies manifests as a response to insufficient or apathetic structural resources in the public sector. However, frustrations with the local government coexist with a focus on gaining governmental support. In the final member-check session, co-researchers mirrored these findings with a discussion of recent financing insufficiencies in grassroots agencies, leading the health department to absorb some behavioral health efforts previously provided by a recovery community nonprofit, and perpetuating a persistent state of precarity among services. As a result, co-researchers identified a targeted exploration of how to reformulate grassroots behavioral health efforts as a major area of future research. Emphasizing community perspectives, these findings call for greater multi-sector collaboration and coordination, bridging gaps not only between individual grassroots-led efforts, but also across the community-public-nonprofit-private continuum.
These community-based recommendations for enhanced multi-sector collaboration align with literature advocating for more integrated public health approaches to behavioral health.65 Behavioral health disorders are intricate conditions that interact with multiple systems—public health, healthcare, social services, government, education, and legal systems.65 Yet, agencies often stay siloed, failing to fully utilize each sector’s strengths to address common issues and achieve shared goals. The functional chasm that challenges multi-system crosstalk perpetuates the fragmented delivery of behavioral health services that remain the status quo, ultimately placing the burden of responsibility on impacted communities.66,67 While there are increasing calls for collaboration toward mutual progress, the public, private, and non-profit sectors across various disciplines continue to struggle to define where those potential overlaps may be. Identified barriers to cross-sector integration in the behavioral health continuum include the lack of accountability monitoring mechanisms,67 less-developed quality measurement infrastructure compared to general healthcare, stigma and discrimination disempowering behavioral health patients,68,69 disproportionate focus on individual treatment over social determinants, communication difficulties, and a lack of community-level data.65
This case study demonstrates the utility of Photovoice in addressing these barriers and its potential to construct a shared illustrative narrative from contextualized perspectives of the social determinants of behavioral health. Photographs and captions not only enhanced conventional metrics for the CCHD CHA but also provided a visual summary of community perspectives. The method fostered community engagement, empowering participants as experts to highlight important topics and frame their evaluation of the behavioral health landscape covering both individual treatment and perceived social determinants. Notably, one participant felt empowered to take action, approaching the local school board to initiate an Equity Coalition addressing racial disparities in education. Subsequent community health forums also provided opportunities for enhanced communication and collaboration. Continued impacts involved presenting the project to the Winchester Comprehensive Plan committee and engaging community members to address transportation issues. The project also continues to inform the work of the CCHD CHIP. Impacts beyond Clark County include using the project to educate aspiring public health professionals through an accredited College of Public Health Bachelor of Public Health capstone course and sparking interest from other health departments seeking to incorporate Photovoice in their behavioral health CHA/CHIP activities.
Also of notable consideration is the use of Photovoice as a quality improvement methodology. There is an emerging literature on the benefits of participatory visual techniques for quality improvement, although existing case studies remain limited and focus solely on healthcare quality rather than considerations of community health.70,71,72 Photos and captions serve as both an initial needs assessment and longitudinal monitoring tool by providing an illustrative record of community priorities over time for tracking CHIP efforts.73 Photovoice offers a strategy for holding public agencies and policymakers accountable for quality improvement by documenting progress or lack thereof.
The integration of Photovoice in CHAs should be considered in the context of a shifting paradigm in behavioral health from “sickcare” to healthcare to health.74,75,76 Although CHAs are well established for health departments, the Patient Protection and Affordable Care Act of 2010 added a requirement through provision 501(r)(3) for tax-exempt hospitals to triennially conduct a Community Health Needs Assessment (CHNA) and document a CHIP.77 Despite this potential to bridge healthcare, public health agencies, and community stakeholders, studies show that hospitals face challenges in community engagement and have wide variations in report quality and completion rates.78,79,80 Unsurprisingly, hospital CHNA reports tend to emphasize disease management, whereas health department CHA reports often prioritize community-based conditions that impact mental health and SUDs.80,81 There is increasing literature suggesting that hospital-health department partnerships through a collaborative CHNA/CHA process can help mitigate some of these pitfalls to enhance community health investment and improve CHNA/CHA quality.78,79,80,82,83,84,85 Unfortunately, numerous barriers limit collaboration, including inconsistencies in reporting timelines for the IRS, PHAB, and state departments of health as well as competing interests of profit vs. population health. With its focus on diverse perspectives in group dialogue, Photovoice may serve as a method to integrate CHA/CHIP and CHNA/CHIP by enhancing coordination, improving shared measurement systems, and merging data collection between hospitals and health departments.
The transformative shift to more strategic endeavors at the Kentucky state level provides a compelling context to reflect on the use of Photovoice in synchronizing public health initiatives. Under recent legislation amendments (902 KAR 8:160, Sect. 10), local health departments in Kentucky are mandated to conduct stakeholder-involved local needs assessments every 5 years.86(p902) Future Photovoice research should focus on using this methodology to facilitate similar strategic planning for cross-jurisdictional and intergovernmental coordination. Wider use of Photovoice can build a comprehensive understanding of grassroots community needs to feed into higher-level decision-making, fostering a more responsive behavioral health system and a more effective balance of responsibility across sectors.
Strengths and Limitations
The qualitative nature of this study within the specific context of a health department’s CHA process serves as both a strength and a limitation. Qualitative case studies are not generalizable to a population but instead allow for the expansion and analytical generalization of theories.87 This qualitative case study offers an in-depth analysis of community perspectives on behavioral health social determinants that is otherwise not achievable with quantitative methods. A methodological limitation involves potential self-selection bias introduced by the recruitment methods, as many co-researchers who participated were engaged in their community as volunteers, healthcare workers, and coalition members. Although contributing to informed discussions on community assets, findings may not generalize to all Clark County residents or other contexts. However, this limitation is mitigated by the representative diversity of the sample with multiple perspectives of behavioral health lived experience and across age, race, and education status in comparison to the Clark County population. The study was strengthened by a facilitation structure allowing for co-researcher participation in all project stages throughout data collection, analysis, presentation, evaluation, manuscript revision, and determining implications for producing change. This inclusive approach utilizing participants as co-researchers provides for greater ownership over research questions, data analysis, and action plans, an aspect frequently missing from other Photovoice projects.40
Implications for Behavioral Health
This is the first case study utilizing Photovoice to enhance engagement and empowerment in CHAs addressing behavioral health. Findings contribute to the limited understanding of perceived links between behavioral health and social determinants. Specifically, this research uniquely explores the perspectives of community voices, providing a distinct lens to examine the discourse on the need for better cross-sector integration in addressing the behavioral health crisis. The inclusion of lived experience strengthens this research by offering nuanced perspectives on the current behavioral health landscape, highlighting that real-world perceptions of fragmentation align with the existing knowledge on the need for improved multi-sector collaboration. Photovoice offers a strategy to reconcile mismatches between grassroots behavioral health priorities and local government investments, ensuring public agency accountability through longer-term community monitoring and policy interventions. In public health crises with delayed legislative support like behavioral health, Photovoice aligns community need with a diverse range of contributing entities, offering a strategy for necessary comprehensive public health and policy interventions.
Data Availability
The data that support the findings of this study are available on request from the corresponding author, SL. The data are not publicly available because they contain information that could compromise the privacy of research participants.
References
O’Brien BC, Harris IB, Beckman TJ, et al. Standards for reporting qualitative research: A synthesis of recommendations. Academic Medicine, 2014;89(9):1245. Available at https://doi.org/10.1097/ACM.0000000000000388. Accessed 8 January, 2024.
Substance Abuse and Mental Health Services Administration. Key substance use and mental health indicators in the United States: Results from the 2022 National Survey on Drug Use and Health. Center for Behavioral Health Statistics and Quality. Publication Number PEP23-07-01-006, NSDUH Series H-58, November 2023. Available at https://www.samhsa.gov/data/report/2022-nsduh-annual-national-report. Accessed 13 December, 2023.
Alegría M, NeMoyer A, Falgas I, et al. Social determinants of mental health: where we are and where we need to go. Current Psychiatry Reports, 2018;20(11):95. Available at https://doi.org/10.1007/s11920-018-0969-9. Accessed 2 November, 2023.
Spear SE, Crevecoeur-MacPhail D, Denering L, et al. Determinants of successful treatment outcomes among a sample of urban American Indians/Alaska Natives: the role of social environments. Journal of Behavioral Health Services & Research, 2013;40(3):330–341. Available at https://doi.org/10.1007/s11414-013-9324-4. Accessed 13 December, 2023.
Hodgkinson S, Godoy L, Beers LS, et al. Improving mental health access for low-income children and families in the primary care setting. Pediatrics, 2017;139(1):e20151175. Available at https://doi.org/10.1542/peds.2015-1175. Accessed 23 October, 2023.
Van Deinse TB, Wilson AB, Macy RJ, et al. Intimate partner violence and women with severe mental illnesses: needs and challenges from the perspectives of behavioral health and domestic violence service providers. Journal of Behavioral Health Services & Research, 2019;46(2):283–293. Available at https://doi.org/10.1007/s11414-018-9624-9. Accessed 13 December, 2023.
Rosales R, Takeuchi D, Calvo R. After the Affordable Care Act: the effects of the health safety net and the Medicaid expansion on Latinxs’ use of behavioral healthcare in the US. Journal of Behavioral Health Services & Research, 2021;48(2):183–198. Available at https://doi.org/10.1007/s11414-020-09715-3. Accessed 13 December, 2023.
Ostrow L, Nemec PB, Smith C. Self-employment for people with psychiatric disabilities: advantages and strategies. Journal of Behavioral Health Services & Research, 2019;46(4):686–696. Available at https://doi.org/10.1007/s11414-018-9625-8. Accessed 13 December, 2023.
Compton MT, Shim RS. The social determinants of mental health. Focus: The Journal of Lifelong Learning in Psychiatry, 2015;13(4):419–425. Available at https://doi.org/10.1176/appi.focus.20150017. Accessed 9 October, 2023.
Fan AZ, Prescott MR, Zhao G, et al. Individual and community-level determinants of mental and physical health after the deepwater horizon oil spill: findings from the Gulf States population survey. Journal of Behavioral Health Services & Research, 2015;42(1):23–41. Available at https://doi.org/10.1007/s11414-014-9418-7. Accessed 13 December, 2023.
Hjorth CF, Bilgrav L, Frandsen LS, et al. Mental health and school dropout across educational levels and genders: a 4.8-year follow-up study. BMC Public Health, 2016;16. Available at https://doi.org/10.1186/s12889-016-3622-8. Accessed 2 November, 2023.
Ljungqvist I, Topor A, Forssell H, et al. Money and mental Illness: a study of the relationship between poverty and serious psychological problems. Community Mental Health Journal, 2016;52(7):842–850. Available at https://doi.org/10.1007/s10597-015-9950-9. Accessed 2 November, 2023.
Ghiasi N, Azhar Y, Singh J. Psychiatric illness and criminality. In: StatPearls [Internet]. Treasure Island, FL: StatPearls Publishing. 2023. Available at https://www.ncbi.nlm.nih.gov/books/NBK537064/. Accessed 8 January, 2024.
Standards & Measures Version 2022. Alexandria, VA: Public Health Accreditation Board, 2022. Available at https://phaboard.org/accreditation-recognition/version-2022/. Accessed 8 October, 2023.
Rabarison KM, Timsina L, Mays GP. Community health assessment and improved public health decision-making: a propensity score matching approach. American Journal of Public Health, 2015;105(12):2526–2533. Available at https://doi.org/10.2105/AJPH.2015.302795. Accessed 23 June, 2023.
Engaging patients and communities in the community health needs assessment process. Chicago, IL: Health Research & Educational Trust. Available at https://www.aha.org/system/files/2018-01/Engaging-patients-communities-health-needs-assmt.pdf, 2016. Accessed 9 October, 2023.
Resnick J. Exploring community health needs. Chicago, IL: Health Research & Educational Trust. Available at https://trustees.aha.org/articles/988-boosting-community-health-needs-assessments. Accessed 9 October, 2023.
Ravaghi H, Guisset AL, Elfeky S, et al. A scoping review of community health needs and assets assessment: concepts, rationale, tools and uses. BMC Health Services Research, 2023;23(1):44. Available at https://doi.org/10.1186/s12913-022-08983-3. Accessed 9 October, 2023.
Community Health Assessment Toolkit. Chicago, IL: American Hospital Association, 2023. Available at https://www.healthycommunities.org/resources/community-health-assessment-toolkit. Accessed 9 October, 2023.
A Playbook for Fostering Hospital-Community Partnerships to Build a Culture of Health. Chicago, IL: Health Research & Educational Trust, 2017. Available at https://www.aha.org/ahahret-guides/2017-07-27-playbook-fostering-hospital-community-partnerships-build-culture-health. Accessed 9 October, 2023.
Tools for Successful CHI Efforts. Atlanta, GA: Centers for Disease Control & Prevention, 2022. Available at https://www.cdc.gov/chinav/tools/work.html. Accessed 9 October, 2023.
Community Health Assessments and Improvement Plans. Atlanta, GA: Centers for Disease Control & Prevention, 2022. Available at https://www.cdc.gov/publichealthgateway/cha/plan.html. Accessed 28 June, 2023.
Jones N, Callejas L, Brown M, et al. Barriers to meaningful participatory mental health services research and priority next steps: Findings from a national survey. Psychiatric Services, 2023;74(9):902–910. Available at https://doi.org/10.1176/appi.ps.20220514. Accessed 7 January, 2024.
Delman J, Progovac AM, Flomenhoft T, et al. Barriers and facilitators to community-based participatory mental health care research for racial and ethnic minorities. Health Affairs (Millwood), 2019;38(3):391–398. Available at https://doi.org/10.1377/hlthaff.2018.05040. Accessed 7 January, 2024.
Cook T. Participatory research: its meaning and messiness. Beleidsonderzoek Online, 2021;0(3). Available at https://doi.org/10.5553/BO/221335502021000003001. Accessed 9 October, 2023.
Springer AE, Marshall AN, Randolph R, et al. Exploring models for youth engagement in community health planning: the youth-led community health learning initiative. Progress Community Health Partnerships: Research, Education, and Action, 2022;16(2):155–168. Available at https://doi.org/10.1353/cpr.2022.0020. Accessed 9 October, 2023.
Israel BA, Schulz AJ, Parker EA, et al. Review of community-based research: Assessing partnership approaches to improve public health. Annual Review of Public Health, 1998;19(1):173–202. Available at https://doi.org/10.1146/annurev.publhealth.19.1.173. Accessed 7 January, 2024.
Mizock L, Russinova Z, Shani R. New roads paved on losses: photovoice perspectives about recovery from mental illness. Qualitative Health Research, 2014;24(11):1481–1491. Available at https://doi.org/10.1177/1049732314548686. Accessed 23 October, 2023.
Van Steenberghe T, Vanderplasschen W, Bellaert L, et al. Photovoicing interconnected sources of recovery capital of women with a drug use history. Drugs: Education, Prevention and Policy, 2021;28(5):411–425. Available at https://doi.org/10.1080/09687637.2021.1931033. Accessed 9 October, 2023.
Smith E, Carter M, Walklet E, et al. Investigating recovery from problem substance use using digital photovoice. Journal of Community Psychology, 2023;51(3):1378–1393. Available at https://doi.org/10.1002/jcop.22957. Accessed 23 October, 2023.
De Seranno S, Colman C. Capturing recovery capital: using photovoice to unravel recovery and desistance. Addiction Research & Theory, 2022;30(4):237–245. Available at https://doi.org/10.1080/16066359.2021.2003787. Accessed 23 October, 2023.
Cabassa LJ, Nicasio A, Whitley R. Picturing recovery: A photovoice exploration of recovery dimensions among people with serious mental illness. Psychiatric Services Washington DC., 2013;64(9):https://doi.org/10.1176/appi.ps.201200503. Available at https://doi.org/10.1176/appi.ps.201200503. Accessed 23 October, 2023.
Muroff J, Do D, Brinkerhoff CA, et al. Nuestra Recuperación [Our Recovery]: using photovoice to understand the factors that influence recovery in Latinx populations. BMC Public Health, 2023;23(1):81. Available at https://doi.org/10.1186/s12889-023-14983-7. Accessed 23 October, 2023.
Tippin GK, Maranzan KA. Efficacy of a photovoice-based video as an online mental illness anti-stigma intervention and the role of empathy in audience response: A randomized controlled trial. Journal of Applied Social Psychology, 2019;49(6):381–394. Available at https://doi.org/10.1111/jasp.12590. Accessed 23 October, 2023.
Tippin GK, Maranzan KA. Photovoice as a method to reduce the stigma of mental illness among health care students. Health Promotion Practice, 2022;23(2):331–337. Available at https://doi.org/10.1177/15248399211057152. Accessed 10 October, 2023.
Smith E, Carter M, Walklet E, et al. Exploring the methodological benefits and challenges of utilising a Photovoice methodology with individuals in recovery from problem substance use. Qualitative Health Research, 2024;0(0). Available at https://doi.org/10.1177/10497323231217601. Accessed 2 March, 2024.
Wang C, Burris MA. Photovoice: concept, methodology, and use for participatory needs assessment. Health Education & Behavior: The Official Publication of the Society for Public Health Education, 1997;24(3):369–387. Available at https://doi.org/10.1177/109019819702400309. Accessed 8 June, 2023.
Shaffer R. Balanced participation in development. Tropical Doctor, 1991;21(2):73–75. Available at https://doi.org/10.1177/004947559102100212. Accessed 14 December, 2023.
Liebenberg L. Photovoice and being intentional about empowerment. Health Promotion Practice, 2022;23(2):267–273. Available at https://doi.org/10.1177/15248399211062902. Accessed 8 June, 2023.
Seitz CM, Orsini MM. Thirty years of implementing the photovoice method: Insights from a review of reviews. Health Promotion Practice, 2022;23(2):281–288. Available at https://doi.org/10.1177/15248399211053878. Accessed 14 May, 2022.
Lofton S, Grant AK. Outcomes and intentionality of action planning in photovoice: A literature review. Health Promotion Practice, 2021;22(3):318–337. Available at https://doi.org/10.1177/1524839920957427. Accessed 8 June, 2023.
Han C, Oliffe J. Photovoice in mental illness research: A review and recommendations. Health:, 2016;20(2):110–126. Available at https://doi.org/10.1177/1363459314567790. Accessed 15 June, 2023.
Teti M, Myroniuk T. Image to action: Past success, ongoing questions, and new horizons for photovoice exhibits. Health Promotion Practice, 2022;23(2):262–266. Available at https://doi.org/10.1177/15248399211054774. Accessed 8 June, 2023.
Budig K, Diez J, Conde P, et al. Photovoice and empowerment: evaluating the transformative potential of a participatory action research project. BMC Public Health, 2018;18(1):432. Available at https://doi.org/10.1186/s12889-018-5335-7. Accessed 8 January, 2024.
Morgan LM. Community participation in health: perpetual allure, persistent challenge. Health Policy and Planning, 2001;16(3):221–230. Available at https://doi.org/10.1093/heapol/16.3.221. Accessed 29 November, 2023.
Haldane V, Chuah FLH, Srivastava A, et al. Community participation in health services development, implementation, and evaluation: A systematic review of empowerment, health, community, and process outcomes. PloS One, 2019;14(5):e0216112. Available at https://doi.org/10.1371/journal.pone.0216112. Accessed 29 November, 2023.
George AS, Mehra V, Scott K, et al. Community participation in health systems research: A systematic review assessing the state of research, the nature of interventions involved and the features of engagement with communities. PloS One, 2015;10(10):e0141091. Available at https://doi.org/10.1371/journal.pone.0141091. Accessed 29 November, 2023.
Iton A, Ross RK, Tamber PS. Building community power to dismantle policy-based structural inequity in population health. Health Affairs (Millwood), 2022;41(12):1763–1771. Available at https://doi.org/10.1377/hlthaff.2022.00540. Accessed 3 November, 2023.
Cole M, Jolliffe M, So-Armah C, et al. Power and participation: How community health centers address the determinants of the social determinants of health. New England Journal of Medicine Catalyst, 2022;3(1). Available at https://doi.org/10.1056/CAT.21.0303. Accessed 3 November, 2023.
Kataoka SH, Ijadi-Maghsoodi R, Figueroa C, et al. Stakeholder perspectives on the social determinants of mental health in community coalitions. Ethnicity & Disease, 28(Suppl 2):389–396. Available at https://doi.org/10.18865/ed.28.S2.389. Accessed 5 November, 2023.
Palacio A, Seo D, Medina H, et al. Provider perspectives on the collection of social determinants of health. Population Health Management, 2018;21(6):501–508. Available at https://doi.org/10.1089/pop.2017.0166. Accessed 5 November, 2023.
Kostelanetz S, Pettapiece-Phillips M, Weems J, et al. Health care professionals’ perspectives on universal screening of social determinants of health: a mixed-methods study. Population Health Management, 2022;25(3):367–374. Available at https://doi.org/10.1089/pop.2021.0176. Accessed 5 November, 2023.
Shrider EA, Creamer J. United States Census Bureau, Current Population Reports, P60–280. Poverty in the United States: 2022. U.S. Government Publishing Office, Washington, DC, September 2023. Available at https://www.census.gov/content/dam/Census/library/publications/2023/demo/p60-280.pdf. Accessed 5 March, 2024.
U.S. Census Bureau. QuickFacts: Clark County, Kentucky. Suitland, MD: U.S. Census Bureau, 2022. Available at https://www.census.gov/quickfacts/fact/table/clarkcountykentucky/PST045222. Accessed 27 October, 2023.
Clark, KY Health Outcomes. Madison, WI: County Health Rankings & Roadmaps University of Wisconsin Population Health Institute School of Medicine and Public Health, 2023. Available at https://www.countyhealthrankings.org/explore-health-rankings/kentucky/clark?year=2023. Accessed 5 March, 2024.
Firchow, BA, Boroughs, K, Ingram, RC. Local health departments’ approach to community health needs assessment and improvement planning in Kentucky. Presented at the American Public Health Association Annual Meeting, Atlanta, GA. November, 2023.
HEALing Communities Study Consortium. The HEALing (Helping to End Addiction Long-term SM) communities study: protocol for a cluster randomized trial at the community level to reduce opioid overdose deaths through implementation of an integrated set of evidence-based practices. Drug and Alcohol Dependence, 2020;217:108335. Available at https://doi.org/10.1016/j.drugalcdep.2020.108335. Accessed 14 December, 2023.
Sprague Martinez L, Rapkin BD, Young A, et al. Community engagement to implement evidence-based practices in the HEALing communities study. Drug and Alcohol Dependence, 2020;217:108326. Available at https://doi.org/10.1016/j.drugalcdep.2020.108326. Accessed 14 December, 2023.
Young AM, Brown JL, Hunt T, et al. Protocol for community-driven selection of strategies to implement evidence-based practices to reduce opioid overdoses in the HEALing Communities Study: a trial to evaluate a community-engaged intervention in Kentucky, Massachusetts, New York and Ohio. BMJ Open, 2022;12(9):e059328. Available at https://doi.org/10.1136/bmjopen-2021-059328. Accessed 14 December, 2023.
McMillan SS, King M, Tully MP. How to use the nominal group and Delphi techniques. International Journal of Clinical Pharmacy, 2016;38:655–662. Available at https://doi.org/10.1007/s11096-016-0257-x. Accessed 26 October, 2023.
Golden SD, McLeroy KR, Green LW, et al. Upending the social ecological model to guide health promotion efforts toward policy and environmental change. Health Education & Behavior: The Official Publication of the Society for Public Health Education, 2015;42(1 Suppl):8S-14S. Available at https://doi.org/10.1177/1090198115575098. Accessed 13 December, 2023.
Clark County Activity Coalition Photovoice2022. Winchester, KY: Clark County Activity Coalition, 2022. Available at https://www.ccactivitycoalition.com/photovoice2022. Accessed 3 March, 2024.
Clarke V, Braun V. Thematic Analysis. Thousand Oaks, CA: SAGE Publications Inc, 2021. Available at https://us.sagepub.com/en-us/nam/thematic-analysis/book248481. Accessed 15 October, 2023.
U.S. Department of Agriculture. Rural-Urban Commuting Area Codes. Economic Research. Service, 2023. Available at https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.aspx. Accessed 21 November, 2023.
Blanco C, Wiley TRA, Lloyd JJ, et al. America’s opioid crisis: the need for an integrated public health approach. Translational Psychiatry, 2020;10:167. Available at https://doi.org/10.1038/s41398-020-0847-1. Accessed 4 December, 2023.
Kaltenborn Z, Paul K, Kirsch JD, et al. Super fragmented: a nationally representative cross-sectional study exploring the fragmentation of inpatient care among super-utilizers. BMC Health Services Research, 2021;21(1):338. Available at https://doi.org/10.1186/s12913-021-06323-5. Accessed 14 December, 2023.
Croft B, Parish SL. Care integration in the Patient Protection and Affordable Care Act: Implications for behavioral health. Administration and Policy in Mental Health, 2013;40(4):https://doi.org/10.1007/s10488-012-0405-0. Available at https://doi.org/10.1007/s10488-012-0405-0. Accessed 8 October, 2023.
Pincus HA, Page AEK, Druss B, et al. Can psychiatry cross the quality chasm? Improving the quality of health care for mental and substance use conditions. American Journal of Psychiatry, 2007;164(5):712–719. Available at https://doi.org/10.1176/ajp.2007.164.5.712. Accessed 15 December, 2023.
Institute of Medicine (US) Committee on Crossing the Quality Chasm: Adaptation to Mental Health and Addictive Disorders. Improving the Quality of Health Care for Mental and Substance-Use Conditions: Quality Chasm Series. Washington D.C: National Academies Press (US), 2006. Available at http://www.ncbi.nlm.nih.gov/books/NBK19830/. Accessed 15 December, 2023.
Papoulias C. Showing the unsayable: Participatory visual approaches and the constitution of ‘patient experience’ in healthcare quality improvement. Health Care Analysis, 2018;26(2):171–188. Available at https://doi.org/10.1007/s10728-017-0349-3. Accessed 15 December, 2023.
Balbale SN, Morris MA, LaVela SL. Using photovoice to explore patient perceptions of patient-centered care in the Veterans Affairs health care system. The patient, 2014;7(2):187–195. Available at https://doi.org/10.1007/s40271-014-0044-5. Accessed 15 December, 2023.
Mathura P, Li M, McMurtry N, et al. Enhancing the healthcare quality improvement storyboard using photovoice. BMJ Open Quality, 2020;9(4):e001104. Available at https://doi.org/10.1136/bmjoq-2020-001104. Accessed 15 December, 2023.
Rabinowitz, P. Chapter 3, Assessing Community Needs and Resources. Section 20: Implementing Photovoice in Your Community. The Community Tool Box. Lawrence, KS: Center for Community Health and Development at the University of Kansas. Available at https://ctb.ku.edu/en/table-of-contents/assessment/assessing-community-needs-and-resources/photovoice/main. Accessed 15 December, 2023.
Friebe M. From SICKCARE to HEALTHCARE to HEALTH. In: Friebe M, ed. Novel Innovation Design for the Future of Health: Entrepreneurial Concepts for Patient Empowerment and Health Democratization. New York, NY: Springer International Publishing, 2022, pp. 23–32. Available at https://doi.org/10.1007/978-3-031-08191-0_3. Accessed 16 December, 2023.
Marvasti FF, Stafford RS. From “sick care” to health care: Reengineering prevention into the U.S. system. New England Journal of Medicine, 2012;367(10):889–891. Available at https://doi.org/10.1056/NEJMp1206230. Accessed 16 December, 2023.
Drake RE, Bond GR. Psychiatric crisis care and the more is less paradox. Community Mental Health Journal, 2021;57(7):1230–1236. Available at https://doi.org/10.1007/s10597-021-00829-2. Accessed 16 December, 2023.
Internal Revenue Service. Community Health Needs Assessment for Charitable Hospital Organizations - Section 501(r)(3). Internal Revenue Service, 2023. Available at https://www.irs.gov/charities-non-profits/community-health-needs-assessment-for-charitable-hospital-organizations-section-501r3. Accessed 21, June 2023.
Beatty KE, Wilson KD, Ciecior A, et al. Collaboration among Missouri nonprofit hospitals and local health departments: content analysis of community health needs assessments. American Journal of Public Health, 2015;105(S2):S337-S344. Available at https://doi.org/10.2105/AJPH.2014.302488. Accessed 21 June, 2023.
Pennel CL, McLeroy KR, Burdine JN, et al. Community health needs assessment: Potential for population health improvement. Population Health Management, 2016;19(3):178–186. Available at https://doi.org/10.1089/pop.2015.0075. Accessed 22 June, 2023.
Cramer GR, Singh SR, Flaherty S, et al. The progress of US hospitals in addressing community health needs. American Journal of Public Health, 2017;107(2):255–261. Available at https://doi.org/10.2105/AJPH.2016.303570. Accessed 21 June, 2023.
Frank S, Drake A. Variation in process and priorities between local health department and hospital led community health assessments. Paper presented at the Annual Research Meeting, Minneapolis, MN June 2015. Available at https://academyhealth.confex.com/academyhealth/2015arm/meetingapp.cgi/Paper/4737. Accessed 28 June, 2023.
Carlton EL, Singh SR. Joint community health needs assessments as a path for coordinating community-wide health improvement efforts between hospitals and local health departments. American Journal of Public Health, 2018;108(5):676–682. Available at https://doi.org/10.2105/AJPH.2018.304339. Accessed 8 October, 2023.
Prybil LD, Scutchfield FD, Dixon RE. The evolution of public health–hospital collaboration in the United States. Public Health Reports, 2016;131(4):522–525. Available at https://doi.org/10.1177/0033354916662208. Accessed 16 December, 2023.
Isehunwa OO, Dobalian A, Ahn S, et al. Local health department and hospital collaboration around community health needs assessment to improve health outcomes. Family & Community Health, 2021;44(3):136–145. Available at https://doi.org/10.1097/FCH.0000000000000280. Accessed 8 January, 2024.
Rosenbaum S. Principles to consider for the implementation of a community health needs assessment process. Washington, D.C: The George Washington University School of Public Health and Health Services, Department of Health Policy, June 1, 2013. Available at https://hsrc.himmelfarb.gwu.edu/sphhs_policy_facpubs/863. Accessed 28 June, 2023.
Local health department operations requirements of 2023. 902 KAR 8:160, Section 10, 2023. Frankfort, KY: Office of Legislative and Regulatory Affairs. Available at https://apps.legislature.ky.gov/law/kar/titles/902/008/160/. Accessed 9 October, 2023.
Yin RK. Case Study Research and Applcations Design and Methods (6th ed.). Thousand Oaks, CA: Sage Publications, 2017. Available at https://us.sagepub.com/en-us/nam/case-study-research-and-applications/book250150. Accessed 18 December, 2023.
Acknowledgements
The first and senior authors’ work on this project was supported through participation in a university’s Summer Research Institute award from the National Institute on Drug Abuse (5R25DA04322404). The work of the senior and third author in facilitating the Photovoice sessions was supported by a contract with the Clark County Health Department. The authors would like to acknowledge the invaluable time, expertise, and insights of the 23 Clark County residents who served as Photovoice co-researchers. The authors would also like to thank co-researchers Leslie Aitkin, Stephen Berry, Donna Carter, Tori Calvert, and Sabrina Puckett, who consented to have their names published, for their contributions to the revision of the manuscript.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
The authors declare no competing interests.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Reporting guidelines.
This article was informed by established methods for conducting and reporting qualitative research, as articulated in the Standards for Reporting Qualitative Research.1.
This work was done at Louis de la Parte Florida Mental Health Institute at the University of South Florida, 13301 Bruce B Downs Blvd, Tampa, FL 33612, and Clark County Health Department, 400 Professional Ave, Winchester, KY 40391.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Li, S., Gulley, J., Booty, M. et al. Using Photovoice to Improve Engagement in Community Health Assessments Addressing Behavioral Health. J Behav Health Serv Res (2024). https://doi.org/10.1007/s11414-024-09885-4
Accepted:
Published:
DOI: https://doi.org/10.1007/s11414-024-09885-4