Abstract
Background
Among patients who express interest in bariatric surgery, dropout rates from bariatric surgery programs are reported as high as 60%. There is a lack of understanding how we can better support patients to obtain treatment of this serious chronic disease.
Methods
Semi-structured interviews with individuals who dropped out of bariatric surgery programs from three clinical sites were conducted. Transcripts were iteratively analyzed to understand patterns clustering around codes. We mapped these codes to domains of the Theoretical Domains Framework (TDF) which will serve as the basis of future theory-based interventions.
Results
Twenty patients who self-identified as 60% female and 85% as non-Hispanic White were included. The results clustered around codes of “perceptions of bariatric surgery,” “reasons for not undergoing surgery,” and “factors for re-considering surgery.” Major drivers of attrition were burden of pre-operative workup requirements, stigma against bariatric surgery, fear of surgery, and anticipated regret. The number and time for requirements led patients to lose their initial optimism about improving health. Perceptions regarding being seen as weak for choosing bariatric surgery, fear of surgery itself, and possible regret over surgery grew as time passed. These drivers mapped to four TDF domains: environmental context and resources, social role and identity, emotion, and beliefs about consequences, respectively.
Conclusions
This study uses the TDF to identify areas of greatest concern for patients to be used for intervention design. This is the first step in understanding how we best support patients who express interest in bariatric surgery achieve their goals and live healthier lives.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Of the over 33 million individuals eligible for bariatric surgery in the United States, less than 1% of eligible patients yearly complete surgery [1, 2]. Utilization of this life-altering intervention is inadequate. Perhaps more alarming is that among patients who express interest in this therapy and engage with bariatric centers, the dropout rate of eligible surgical candidates has been reported as high as 60% [3,4,5]. There is a lack of understanding how the healthcare system can better support patients to obtain treatment of this serious chronic disease.
A number of factors for this high attrition rate have been proposed such as inadequate or lack of insurance coverage and the high burden of pre-surgical requirements. With regard to insurance coverage, studies using quantitative methods have shown that increased cost-sharing decreases bariatric surgery uptake [6, 7]. Gasoyan et al. found that insurance type (private insurance [8], preferred provider organization plans [9], and fee-for-services-plans [9]) increases bariatric surgery utilization as well [8]. However, health insurance coverage is unlikely to be significant enough as an independent reason for attrition [5, 10]. Even in countries with universal healthcare, the attrition rate is approximately 50% [11]. For pre-surgical requirements, both the number and type of pre-surgical requirements (e.g., requiring months of medically supervised weight loss [9], be accompanied by a support person during clinic visits [3], cardiology evaluation [12]) have been shown to be significantly associated with attrition from bariatric surgery programs. However, the nuances of how these proposed factors as well as other not yet identified factors work together to cause dropout remains unknown. Additionally, prior research focuses on insurance variables or comorbidity burden which are largely non-modifiable.
In order to identify strategies to reduce this attrition, we need a better understanding of the factors that contribute to patients’ decisions to drop out of the bariatric surgery process. In this context, we utilize a qualitative approach to understand the experiences of patients who started the process leading to bariatric surgery but chose not to complete surgery. We learn from patients themselves to inform nuanced, multifaceted, theory-informed strategies to promote completion of bariatric surgery.
Materials and methods
Study design
We identified patients from three clinical sites who had dropped out of bariatric surgery programs. These clinical sites represented a suburban community center, a suburban academic center, and an urban academic center. The study protocol was approved by the University of Michigan Institutional Review Board (HUMID#00171265). Verbal informed consent was obtained from all participants of the study prior to their interview. The study is reported according to the Consolidated Criteria for Reporting Qualitative Studies (COREQ) guidelines [13] (Supplement 1).
Study population
Participants were recruited using purposive sampling. We reached out via phone to participants who dropped out of the bariatric surgery programs from December 2017 to January 2019. Attrition was defined as persons who initiated the process of bariatric surgery (attending an initial evaluation visit in clinic) but did not complete bariatric surgery. Patients dropped out of the process anywhere along the continuum from after the initial evaluation up to scheduling a surgical date (e.g., after the initial evaluation, after participating for months, after scheduling a surgery date). We reached out to 31 patients by phone and met our goal of 20 participants (64.5% response rate). We excluded patients who did not meet NIH criteria for surgery or were deemed not to be a surgical candidate by the multidisciplinary board. Our final group of participants was diverse with respect to gender (60% Female) and age (35% < 45 years; 50% 45–65 years; 5% > 65 years; 10% No Answer). Of our participants, 85% self-identified as “White,” 10% as “Black,” and 5% as “Mixed Race.” With regard to self-reported BMI, 10% had a BMI of < 35 kg/m2, 15% of 35–40 kg/m2, 60% of 40 kg/m2 or greater, and 15% did not answer their height and weight.
The Theoretical Domains Framework and interview guide
We used the Theoretical Domains Framework to develop our semi-structured interview guide and then to analyze patient responses in a systematic manner to identify behavioral change techniques. The Theoretical Domains Framework is a robust implementation science framework that applies organizational theory towards behavioral change [14,15,16]. The framework integrates 35 theoretical models of human behavior change into 14 domains. These 14 domains are (1) knowledge; (2) skills; (3) social or professional role and identity; (4) beliefs about capabilities; (5) optimism; (6) beliefs about consequences; (7) reinforcement; (8) intentions; (9) goals; (10) memory, attention, and decision processes; (11) environmental context; (12) social influences; (13) emotion; and (14) behavioral regulation [16]. Each of these domains includes constructs which in turn map to specific behavioral change techniques (Fig. 1). The TDF has been used extensively in healthcare to identify behavioral change practices to increase physical activity [17, 18], to improve smoking cessation rates [19], to increase cohesion between provider practice and guidelines [14, 20, 21], and to minimize trainee prescribing errors [22]. We chose this framework because this is an individual-facing framework that links to behavior change techniques. We use the consensus guidelines proposed by Atkins et al. in applying the Theoretical Domains Framework [23].
Data collection
Interviews were conducted May 2020–March 2021 via phone due to COVID-19 social distancing measures. Reasons for non-participation were not elicited. Of the 31 patients we reached by phone, 20 patients (65%) agreed to participate. Independent interviews were conducted by 5 authors (G.F.C., K.L., L.D., Y.A., and S.M.J.), two surgical health services researchers, two health services research assistants, and a medical student. Interviews began with the question, “What first brought you to be interested in bariatric surgery?” The participants then guided the rest of the conversation. The interview guide was designed to probe further into topics the participants brought up themselves. All participants were also asked “Can you tell me about the process of getting ready for bariatric surgery?”, “Was there something about the bariatric surgery process that confused or frustrated you?”, and “What would convince you to get bariatric surgery in the future?” Demographic information was asked at the conclusion of the interview. The full interview guide with cross-walked linking questions is available in Appendix Table 6.
Interviews lasted 20 to 50 min and were digitally recorded, transcribed verbatim, and de-identified. Transcripts were not returned to participants for review. Field notes, observations about each interview, were included in analysis. One participant did not consent to be recorded but did allow for field notes from the interview to be used for the study.
Data analysis
Coding was approached through an iterative, inductive process. Three members of the team (G.F.C., K.L., and L.D.) independently reviewed transcripts to identify an initial set of codes. The codes were further refined with the senior author, an implementation science expert (D.A.Te.). Next, three transcripts were independently coded by two of the team members (G.F.C. and K.L.) blinded to each other’s work. The coders met iteratively to discuss discrepancies and refine the codebook. The rest of the interviews were coded by one of the two coders. Once all data were coded, the entire research team met to discuss patterns and “issues around which codes cluster,” [24] reach consensus, and map codes to TDF domains. To increase validity, we selected a research team representing diverse professional fields (anthropology, implementation science, nursing, public health, and surgery). All transcribed interviews were coded using NVivo 12.6.1 (QSR International, 2020), a computer-assisted qualitative data analysis software.
Results
Of study participants, 40% identified as men and 60% as women with an average age of 46.7 years (SD 10.7) and average BMI of 44.8 kg/m2 (SD 8.7). Participants in our study were predominantly non-Hispanic White (85%). Results for this study focus on three codes: “perceptions of bariatric surgery,” “reasons for not undergoing surgery,” and “factors for re-considering surgery.” Fourteen of the twenty participants stated they would re-consider surgery sometime in the future. There are still 18 other codes to review for analysis in future studies.
Key themes that emerged were (1) burden of pre-operative workup, (2) stigma against bariatric surgery, (3) fear of surgery, and (4) anticipated regret which organized into four TDF domains: environmental context and resources, social role and identity, emotion, and beliefs about consequences. Exemplar quotations are included below and in tables.
Burden of pre-operative workup: environmental context and resources
Participants cited the long pre-operative workup time and number of requirements as a major barrier to their completing bariatric surgery, mapping to the TDF domain of Environmental Context and Resources (Table 1). Some even believed their insurance company purposely prolonged the process to discourage them from getting bariatric surgery. One participant shared that she was so disappointed after being told she had to wait three months after quitting smoking and then a few more weeks between other appointments that:
I even considered the whole Mexico thing too…I can quit smoking for two weeks and, you know, get the surgery, and you have the surgery. You can’t smoke again after the surgery, so I don’t understand why the waiting. It just like brings you that more time to fail, you know what I mean? (Participant 11, White Female)
This participant was even willing to consider going to another country for surgery. Her response was emblematic of the discouragement many participants felt over the long wait times. While two participants cited inability to take off work as a reason why the visits were burdensome, overall participants described the burden as the number of and the time between pre-operative workup appointments and tests.
The longer the pre-operative wait time, the greater the loss of optimism for patients as well. When asked why participants decided to initiate the bariatric surgery process, almost all cited specific health concerns (e.g. diabetes, cardiovascular health) and a desire to lose weight after failures of non-operative methods. However, not all participants decided to proceed past the initial information session or one or two appointments. We found that participants who decided to proceed further cited a sense of hope that they could do something to improve their life. These participants referred to bariatric surgery as a “light at the end of the tunnel” (Participant 7, Black Female) or “some saving thing for my life” (Participant 13, White Male). Many expressed optimism that bariatric surgery would lead to personal physical health benefits of decreased obesity-related conditions as well as the emotional and social benefits of bariatric surgery such as being able to travel more easily or participate in social events. This optimism that initially propelled patients to attend subsequent appointments and evaluations was diminished by the long wait times.
There were certain aspects of the pre-operative workup that participants found informative and that sustained their interest in pursuing bariatric surgery. As one participant shared, “Well, one of the positive things was the openness of everything. There was nothing that they were trying to hide like in regards to like the surgery and the after-effects” (Participant 14, White Female). Most participants described the initial information session and group classes as beneficial to their understanding of their health and spoke positively about them.
Stigma against bariatric surgery: social role and identity
With regard to the TDF domain of Social Role and Identity, participants in this waiting time began to think more about what it would mean to be a person who had undergone bariatric surgery which was guided by stigma against bariatric surgery (Table 2). They began to focus on how to undergo bariatric surgery would be to admit loss of control over their life. Participants’ view of bariatric surgery changed from perceptions of it mostly as a helpful tool to achieve health to something people who were weak used as “a crutch” (Participant 13, White Male) rather than taking control of their own lives. Thus, many stated that they dropped out of the program because they would rather try to lose weight through diet and exercise which they viewed as activities more under their personal control and responsibility compared to bariatric surgery.
Fear of surgery: emotion
Individuals discussed how their fear of surgical procedures which they had prior to starting the bariatric surgery process contributed to their decision not to pursue surgery, mapping to the TDF domain of Emotion (Table 3). Surgery was seen as invasive, potentially dangerous, and irreversible. One participant shared: “I want to place the emphasis on drastic because I feel like the procedure itself is, is a very drastic procedure…hey, like instead of trying to work at this on my own, I’m going to give up and sacrifice my body in the process.” (Participant 7, Black Female). Bariatric surgery was seen putting one’s body in danger.
Anticipated regret: beliefs about consequences
Lastly, participants stated they were afraid they would regret undergoing bariatric surgery, contributing to their decision to drop out of the process (Table 4). Because the pre-operative process, surgery itself, and post-operative recovery required substantial work to be put in by patients, many worried that they would regret undergoing bariatric surgery and this work would have been done in vain. Participants described this anticipated regret as related to three factors: possible weight regain, further physical disfigurement, and possible worsening of health.
The first area of anticipated regret was undergoing weight loss and then regaining weight afterwards. The main marker of success after bariatric surgery for participants was weight loss. Thus, some participants felt that it would be disappointing if they had put in all of the work to go through with bariatric surgery and then regained the weight. For some participants, this was a theoretical concern while others cited individuals they met at group sessions or family members, friends, or acquaintances who had undergone bariatric surgery and then regained weight.
The second area of anticipated regret was future physical disfigurement. Some physical changes with bariatric surgery, both those that were visible outwardly and those that were inside the body, were considered undesirable for participants. One participant noted:
Is it worse to look obese, or worse to look like you were once obese and have all this skin hanging around. I mean, obviously skin hanging around, to me, seems more disgusting. (Participant 1, White Male)
As he described, some physical changes that might occur after bariatric surgery like loose skin further discouraged participants from undergoing bariatric surgery. Internal disfigurement was also a concern for some participants. One participant even described this as having a “Frankenstein-ish kind of body once you’re done…going under a scalpel and getting your body kind of chopped up to be a certain way” (Participant 7, Black Female). These images of a disfigured future self were a major barrier for some patients to undergo surgery.
Finally, some participants were concerned about complications with their physical health after bariatric surgery. This included anticipated regret getting bariatric surgery regarding general post-surgical concerns, dietary concerns, and others. Dietary concerns included needing to rely on supplements or liquids for the rest of their lives or gastrointestinal symptoms such as dumping syndrome. Other concerns included too many disruptions to metabolism and needing to postpone childbearing.
Factors for re-considering surgery
There were fourteen participants who stated that they would consider surgery in the future. Overall, half of participants cited worsening of weight gain or other obesity-related comorbidity as a potential driver to reconsider surgery. All participants’ reasons for reconsidering surgery are summarized in Table 5.
Discussion
Our study is the first to use a qualitative analysis method to understand the nuances in why patients decided to drop out of bariatric surgery programs. Because of the length of time and the number of requirements prior to surgery, patients became discouraged from continuing the process. The burden of pre-operative requirements led patients to lose their initial optimism about bariatric surgery improving their health. Their perceptions regarding being seen as weak for choosing bariatric surgery, fear of surgery itself, and possible regret over having had surgery also grew as more time passed between their initial evaluation and a future surgical date. By mapping these themes onto the Theoretical Domains Framework, we can begin to identify theory-based interventions.
Our data add to the existing literature on pre-operative attrition from bariatric surgery programs by illuminating the most important reasons for dropping out of bariatric surgery programs according to patients themselves. In a study by Sadhasivam et al.where patients’ charts were reviewed, approximately 20% of eligible patients’ assigned reason for not completing surgery was “patient decision.” [5] Our study is the first to begin to characterize the factors most important to patient decisionmaking. Our findings also align with prior quantitative work by Gasoyan, Alvarez, and Love et al.which found that certain pre-operative requirements were significantly associated with dropout from bariatric surgery programs, especially months of medically supervised weight loss [9], additional psychological evaluations [3], longer diet requirement [12], and advanced laboratory testing [12].
By using the Theoretical Domains Framework, we can map these important determinants of attrition from bariatric surgery from patients in our study to theory-based interventions [25]. We can use this framework to identify sources of behavior and intervention functions to target in the future. Given the importance of shorter wait times to completion of surgery and that the median wait time from 2006 to 2016 increased from 86 to 159 days [26], reducing wait times should be a priority for future interventions to decrease attrition. One way we can reduce pre-operative requirements is through advocating for reduced pre-operative requirements. Other proposed pragmatic strategies to decrease the time to surgery involve restructuring how care is delivered. For example, telehealth uptake due to the COVID-19 pandemic increased significantly among surgical practices [27] and could be leveraged to minimize the burden of pre-operative visits for patients who choose this option. Practices of different specialties can also coordinate visits and laboratory testing for bariatric surgical patients to be on the same day or within a few days of one another.
Patients’ anticipated regret warrants special consideration. While we understand the legitimacy of concerns about body and life after bariatric surgery that contributed to patients deciding not to pursue surgery, we were struck by how patients connected these concerns affecting their decision to the lengthy time from their initial enthusiasm for bariatric surgery. Thus, we believe our findings represent the burden of pre-operative requirements working against patients’ desire to undergo bariatric surgery rather than these concerns being of major concern at the beginning of their workup process. Moving forward, interventions will need to distinguish between whether patient concerns are due to long waiting time or represent fundamental beliefs that would lead to decisional regret after bariatric surgery. Prior work by Wee et al.have shown that individuals who underwent Roux-en-Y gastric bypass have low rates of decisional regret ranging from 2.2% at post-operative year 1 to 5.1% at post-operative year 4 [28], but decisional regret in future intervention studies will be vital.
Our study has several limitations. First, the majority of our patients self-identified as White. Thus, it is unknown whether these findings are equally relevant to our Black, Hispanic, and Asian American Pacific Islander patients. However, a strength in the diversity of our sample is that while most studies in bariatric surgery include predominantly women, ours shares the voices of a significant number of men. Additionally, there remains a lack of formal guidance on how to apply the TDF in healthcare settings [23]. Thus, research with and interventions designed from the TDF requires expert guidance from an implementation science expert. Lastly, all of our participants were recruited from Southeastern Michigan. Their experiences with Michigan bariatric surgery practices may not be generalizable to other settings.
This study addresses the barriers and facilitators for patients being able to achieve their goal of bariatric surgery. Using the Theoretical Domains Framework, we identified areas of greatest concern for patients that can be used for future intervention design. This is the first step in understanding how we best support our patients who express interest in bariatric surgery achieve their goals and live healthier lives.
References
Ponce J, DeMaria EJ, Nguyen NT, Hutter M, Sudan R, Morton JM (2016) American society for metabolic and bariatric surgery estimation of bariatric surgery procedures in 2015 and surgeon workforce in the United States. Surg Obes Relat Dis 12:1637–1639
Nguyen NT, Masoomi H, Magno CP, Nguyen XM, Laugenour K, Lane J (2011) Trends in use of bariatric surgery, 2003–2008. J Am Coll Surg 213:261–266
Alvarez R, Matusko N, Stricklen AL, Ross R, Buda CM, Varban OA (2018) Factors associated with bariatric surgery utilization among eligible candidates: who drops out? Surg Obes Relat Dis 14:1903–1910
Jakobsen GS, Hofso D, Roislien J, Sandbu R, Hjelmesaeth J (2010) Morbidly obese patients–who undergoes bariatric surgery? Obes Surg 20:1142–1148
Sadhasivam S, Larson CJ, Lambert PJ, Mathiason MA, Kothari SN (2007) Refusals, denials, and patient choice: reasons prospective patients do not undergo bariatric surgery. Surg Obes Relat Dis 3:531–535
Chhabra KR, Fan Z, Chao GF, Dimick JB, Telem DA (2021) The role of commercial health insurance characteristics in bariatric surgery utilization. Ann Surg 273:1150–1156
Kim DD, Arterburn DE, Sullivan SD, Basu A (2018) Economic value of greater access to bariatric procedures for patients with severe obesity and diabetes. Med Care 56:583–588
Gasoyan H, Ibrahim JK, Aaronson WE, Sarwer DB (2021) The role of health insurance characteristics in utilization of bariatric surgery. Surg Obes Relat Dis 17:860–868
Gasoyan H, Soans R, Ibrahim JK, Aaronson WE, Sarwer DB (2020) Do insurance-mandated precertification criteria and insurance plan type determine the utilization of bariatric surgery among individuals with private insurance? Med Care 58:952–957
Chhabra KR, Fan Z, Chao GF, Dimick JB, Telem DA (2019) Impact of statewide essential health benefits on utilization of bariatric surgery. Obes Surg. https://doi.org/10.1007/s11695-019-04092-z
Diamant A, Milner J, Cleghorn M, Sockalingam S, Okrainec A, Jackson TD, Quereshy FA (2014) Analysis of patient attrition in a publicly funded bariatric surgery program. J Am Coll Surg 219:1047–1055
Love KM, Mehaffey JH, Safavian D, Schirmer B, Malin SK, Hallowell PT, Kirby JL (2017) Bariatric surgery insurance requirements independently predict surgery dropout. Surg Obes Relat Dis 13:871–876
Tong A, Sainsbury P, Craig J (2007) Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care 19:349–357
French SD, Green SE, O’Connor DA, McKenzie JE, Francis JJ, Michie S, Buchbinder R, Schattner P, Spike N, Grimshaw JM (2012) Developing theory-informed behaviour change interventions to implement evidence into practice: a systematic approach using the theoretical domains framework. Implement Sci 7:38
Francis JJ, O’Connor D, Curran J (2012) Theories of behaviour change synthesised into a set of theoretical groupings: introducing a thematic series on the theoretical domains framework. Implement Sci 7:35
Cane J, O’Connor D, Michie S (2012) Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci 7:37
Flannery C, McHugh S, Anaba AE, Clifford E, O’Riordan M, Kenny LC, McAuliffe FM, Kearney PM, Byrne M (2018) Enablers and barriers to physical activity in overweight and obese pregnant women: an analysis informed by the theoretical domains framework and COM-B model. BMC Pregnancy Childbirth 18:178
Quigley A, Baxter L, Keeler L, MacKay-Lyons M (2019) Using the theoretical domains framework to identify barriers and facilitators to exercise among older adults living with HIV. AIDS Care 31:163–168
Campbell KA, Fergie L, Coleman-Haynes T, Cooper S, Lorencatto F, Ussher M, Dyas J, Coleman T (2018) Improving behavioral support for smoking cessation in pregnancy: what are the barriers to stopping and which behavior change techniques can influence these? Application of theoretical domains framework. Int J Environ Res Public Health. https://doi.org/10.3390/ijerph15020359
Lawton R, Heyhoe J, Louch G, Ingleson E, Glidewell L, Willis TA, McEachan RR, Foy R, programme A, (2016) Using the theoretical domains framework (TDF) to understand adherence to multiple evidence-based indicators in primary care: a qualitative study. Implement Sci 11:113
Vitous CA, Jafri SM, Seven C, Ehlers AP, Englesbe MJ, Dimick J, Telem DA (2020) Exploration of surgeon motivations in management of abdominal wall hernias: a qualitative study. JAMA Netw Open 3:e2015916
Duncan EM, Francis JJ, Johnston M, Davey P, Maxwell S, McKay GA, McLay J, Ross S, Ryan C, Webb DJ, Bond C (2012) Learning curves, taking instructions, and patient safety: using a theoretical domains framework in an interview study to investigate prescribing errors among trainee doctors. Implement Sci 7:86
Atkins L, Francis J, Islam R, O’Connor D, Patey A, Ivers N, Foy R, Duncan EM, Colquhoun H, Grimshaw JM, Lawton R, Michie S (2017) A guide to using the theoretical domains framework of behaviour change to investigate implementation problems. Implement Sci 12:77
Miles MB, Huberman AM, Saldaña J (1994) Qualitative data analysis: a methods sourcebook, 3rd edn. Sage, Thousand Oaks
Michie S, van Stralen MM, West R (2011) The behaviour change wheel: a new method for characterising and designing behaviour change interventions. Implement Sci 6:42
Alvarez R, Bonham AJ, Buda CM, Carlin AM, Ghaferi AA, Varban OA (2019) Factors associated with long wait times for bariatric surgery. Ann Surg 270:1103–1109
Chao GF, Li KY, Zhu Z, McCullough J, Thompson M, Claflin J, Fliegner M, Steppe E, Ryan A, Ellimoottil C (2021) Use of telehealth by surgical specialties during the COVID-19 pandemic. JAMA Surg. https://doi.org/10.1001/jamasurg.2021.0979
Wee CC, Fleishman A, McCarthy AC, Hess DT, Apovian C, Jones DB (2019) Decision regret up to 4 years after gastric bypass and gastric banding. Obes Surg 29:1624–1631
Funding
No associated funding.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Disclosures
At the time of this study, Dr. Grace Chao received funding from the Veterans Affairs Center for Clinical Management Research, VA Ann Arbor Healthcare System; this work does not represent the views of the United States government nor the Department of Veterans Affairs. Dr. Dana Telem received funding from AHRQ K08 HS025778-01A1. The work herein was not directly funded by these sources. Ms. Kerry Lindquist, Ms. Crystal Ann Vitous, Dr. Dante Anthony Tolentino, Dr. Lia Delaney, Dr. Yewande Alimi, and Ms. Sara Jafri have no conflicts of interest or financial ties to disclose.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Appendix 1
Appendix 1
See Table 6.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Chao, G.F., Lindquist, K., Vitous, C.A. et al. A qualitative analysis describing attrition from bariatric surgery to identify strategies for improving retention in patients who desire treatment. Surg Endosc 37, 6032–6043 (2023). https://doi.org/10.1007/s00464-023-10030-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00464-023-10030-z