Advertisement

Systematic Reviews

, 8:299 | Cite as

Quality of life and well-being from the perspective of patients on opioid agonist maintenance treatment: study protocol for a systematic review of qualitative research and a scoping review of measures

  • Ivan SolàEmail author
  • Joan Trujols
  • Elisa Ribalta
  • Saul Alcaraz
  • Gemma Robleda
  • Clara Selva Olid
  • José Pérez de los Cobos
Open Access
Protocol
  • 147 Downloads

Abstract

Background

Opioid agonist maintenance treatment (OAMT) is a first-line treatment for heroin dependence, but its effectiveness has been assessed primarily through clinical outcomes with a limited attention to patient perspectives. Despite the increased use of patient reported outcome measures their patient-centeredness is highly questionable. This is the protocol of a systematic review of qualitative research on how OAMT users construct the meaning of their quality of life and well-being and a scoping review of instruments that measure these domains.

Methods

We will conduct a systematic review of qualitative research exploring the views of quality of life of patients on OAMT (registration number CRD42018086490). According pre-specified eligibility criteria, we will include studies from a comprehensive search of bibliographical databases from their inception. We will extract data from included studies and assess their risk of bias with the CASP appraisal criteria, and will implement a thematic analysis to generate a set of interpretative analytical themes ascertaining their confidence using the CERQual approach. We will implement similar methods to conduct a scoping review to assess to what extent the existing measures of these domains were focused on user’s views, assessing their validity using the COSMIN methodology, and summarizing their characteristics and level of patient centeredness.

Conclusion

The findings from the reviews will contribute to obtain a genuine understanding of the perspective from users on OAMT regarding their perception of well-being and quality of life and will likely lead to greater patient centeredness when assessing such variables, which in turn may contribute to a more patient-centered care.

Keywords

Opioid maintenance treatment Quality of life Well-being First-person perspective Qualitative research Personomics Patient-centered research 

Abbreviations

CASP

Critical Appraisal Skills Programme

CERQual

Confidence in the Evidence from Reviews of Qualitative research

COSMIN

COnsensus-based Standards for the selection of health Measurement Instruments

DSM

Diagnostic and Statistical Manual of Mental Disorders

ICD

International Classification of Diseases

OAMT

Opioid agonist maintenance treatment

PRISMA

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

QoL

Quality of life

PROMs

Patient reported outcome measures

Background

Nowadays opioid agonist maintenance treatment (OAMT) is a first-line psychopharmacological treatment for heroin dependence [1]. Numerous studies have consistently shown that OAMT is an effective treatment for opioid dependence [2, 3, 4, 5, 6]. However, the effectiveness of OAMT has been assessed primarily—indeed, almost exclusively—through clinical outcomes or “hard” indicators [7], such as treatment retention, reduction of heroin or other non-prescribed opioids use, a reduction of morbidity and mortality, and decreases in criminality, among others. While these outcomes and indicators are valid and should be assessed—especially in efficacy studies—they are often used to justify health care policies or to seek community approval. Moreover, such indicators are based on a negative and disorder-centered conception of health [7] (see Additional file 1 Table S1).

The selection and assessment of the outcomes used to evaluate the effect of interventions (such as OAMT) in the field of addictive disorders remains challenging, not only in the setting of clinical trials but particularly in routine clinical practice [8, 9, 10]. Nevertheless, the role of the patient perspective in such selection process has received little attention. At present, assessment of OAMT efficacy and effectiveness primarily focuses on outcomes defined by the scientific and clinical community, and these variables may not adequately reflect the patient’s perspective, or they may not assess the outcomes in a way that is relevant to them.

The most developed line of research in exploring the OAMT patient’s perspective is focused on quality of life or, in a broader approach, on the well-being construct, since both terms are often used interchangeably [11, 12].

A growing number of authors, both in the field of addictive disorders [13, 14] and in other areas of health care [15, 16], have questioned whether the scales most commonly used to assess QoL or well-being actually provide a truly patient-centered evaluation of this construct. In this respect, De Maeyer and collaborators explored the nature and dimensions of this construct from the perspective of patients receiving treatment for opioid dependence [17]. The study showed that patients do not primarily associate QOL with health, and moreover, they spontaneously reported many more issues than those usually included in the instruments commonly used to assess QoL in these patients. Similarly, a recent QOL instrument developed with significant input from OAMT patients did not include items on physical health [18].

In fact, in certain areas of health outcomes research [19, 20, 21], there seems to be a growing consensus that patients should be significantly involved—through truly participatory methods—in developing any new patient-reported outcome measure (PROM). The development of new PROMs, however, should not be promoted without synthetizing the existing knowledge allowing its application to practice and the process of decision-making and avoiding the production of research of little value [22, 23, 24]. However, to date—and despite a certain shift in how OAMT results are evaluated, with a greater emphasis on including patient perspectives—we still lack accurate reviews to evaluate the extent to which patient perspectives have been incorporated into the development of instruments evaluating QoL and well-being in patients on OAMT and to obtain an integrated and interpretative representation of how these meanings are constructed from the OAMT patient’s perspective. The application of knowledge to action framework should allow to implement such syntheses of the existing knowledge in the elaboration of QoL and well-being assessment tools genuinely generated by patients [24, 25].

Given this context, here, we propose two interrelated studies whose main aims are to, at least partially, address the knowledge gap in this area and to remedy the paucity of patient-centered insight to assess QoL and well-being in patients on OAMT. Our aim is to conduct a systematic review of qualitative research on how OAMT users perceive, experience and construct their quality of life and well-being and a scoping review of instruments that measure this domain.

Methods

We selected two specific methods for conducting knowledge synthesis adapted to the scope and nature of the topic of interest (how quality of life (QoL) and well-being have been defined from OAMT users’ views), which are described below. The systematic review of qualitative research will allow us to increase understanding of the phenomenon of interest and its complexity [26], and the scoping review will explore the extent, range, and characteristics of existing measures for the aforementioned domains [27]. We adhered the PRISMA-P guideline to report this protocol (provided in the Additional file 2).

Study 1: Systematic review of qualitative research

We will conduct a systematic review of qualitative research exploring OAMT users’ views and perspectives on QoL to synthesize them into an integrated and interpretative representation [28]. We have prepared a protocol following methodological standards [29] and according to specific guidance to synthesize qualitative research [26, 30, 31], that was publicly registered in PROSPERO [32] (registration number CRD42018086490). We will report the review findings endorsing the ENTREQ reporting guidelines [33].

Inclusion criteria

The review will include studies focusing on individuals diagnosed with opioid dependence disorder (according to the current version of either the Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases and Related Health Problems (ICD) diagnostic systems) and who are receiving – or have recently received – OAMT. Eligible studies will focus on their views, experiences and perspectives about the construct of interest, considering those studies that have used the phenomenological perspective of a qualitative research.

Search methods to identify studies

We will perform a search in MEDLINE (Ovid), EMBASE (Ovid), CINAHL (EBSCOHost), PsycINFO (Ovid), and Cork database (Project Cork) from their inception. We will design a search strategy combining terms related to the inclusion criteria as well as controlled vocabulary related to these terms [for the strategy designed to search MEDLINE see Additional file 3]. The search algorithms will be adapted to the specific requirements of each specific database. We will execute the searches in these databases with no limitations other than language (restricted to English, French, German, Dutch and Spanish) and the use of validated filters to obtain qualitative research [34, 35, 36, 37].

In addition to the search in databases we will identify studies from the reference lists from the studies initially included in our review, and will search unpublished studies in Open Access Theses and Dissertations, ProQuest Dissertations & Theses Database and through a specific search in Google Scholar. Besides, we will track references of additional studies citing the eligible studies using the Web of Science.

Study selection and data collection

We will manage the search results using a reference manager software. Two researchers will independently screen the references’ titles and abstracts against the inclusion criteria, obtaining a copy of eligible studies to determine their final inclusion. We will describe the entire eligibility and selection process into a PRISMA flowchart and report the reasons for exclusion of ineligible studies in a specific table.

Although the optimal approach to identifying sources of bias in a qualitative study is a matter of discussion [38, 39, 40], there is guidance to use approaches focusing at least on the clarity of the study aims and its research question, the congruence between aims and research design and methodology, the rigour in sampling and case identification, and the appropriateness of the application of the method, conceptual depth of findings, exploration of deviant cases, and reflexivity of the researchers [41]. The Critical Appraisal Skills Programme (CASP) appraisal criteria are the most commonly used for this purpose and so we will use these criteria to assess the studies included in the systematic review of qualitative research [42].

We will extract data in two stages. First, we will extract study design and descriptive information and then, we will extract quotes and categories identified through the included studies' findings. Data collection in this second part will be iterative, and we will revisit the texts to compare ideas and original findings in light of any new data identified [43, 44, 45].

We will pilot a pre-defined data extraction form appraising at least three studies to verify the structure of the form and the suitability of the process.

Data analysis and synthesis of findings

We will use an integrative and interpretative approach for the findings from the systematic review of qualitative research through a continuous comparison of results from the original studies, implementing a thematic analysis standardized methodology [44, 45]. Based on the data collected from the studies, we will code emerging themes and iteratively compare them to recurring or new themes identified in other studies. Through the continuous comparison of data we will revisit previously reviewed studies to delimit potential thematic overlap and develop descriptive themes to finally generate contextualized, reflective and trustworthy analytical themes [43, 44, 45].

Assessment of confidence in the findings of the review

We will use the Confidence in the Evidence from Reviews of Qualitative research (CERQual) approach as a structured and explicit method to ascertain the confidence level that can be placed in the findings from the systematic review of qualitative research [46]. For each of the findings obtained in the thematic analysis, we will assess the following determinants of their confidence: methodological limitations; relevance (of the findings in the context of the research question); coherence (of the data to substantiate the explanation of phenomenon) and adequacy (of the data in terms of their quantity and richness in supporting the finding). Depending on the evaluation of each of these domains, the confidence level for each finding will be classified as high, moderate, low, or very low. A summary table will provide the findings of the review, the explanation or interpretation of those findings, the confidence classification, and an explanation of the criteria used to determine this classification.

Study 2: Scoping review of measuring instruments of quality of life

In addition to the systematic review of qualitative research we will also conduct a scoping review to determine how and to what extent the patients' perspective has been incorporated into the development process of the measures used to evaluate QoL and well-being in patients on OAMT. We prepared a protocol according to standardized guidance [47], which is publicly available at Open Science Framework (https://osf.io/2cks9/). We will conduct the scoping review in accordance to the methodological framework proposed by Arksey and O'Malley to conduct a scoping review [47, 48, 49]. We will report the results of the scoping review according the corresponding PRISMA extension [27].

Inclusion criteria

We will consider for inclusion psychometric and /or development studies of instruments measuring QoL or well-being in patients which have been diagnosed with opioid dependence disorder according accepted diagnostic classification criteria and had been receiving OAMT.

Search methods to identify studies

We will conduct searches according to the methodology described for the systematic review of qualitative research [see Additional file 3 for the detailed MEDLINE search strings] but using a validated filter to obtain PROMs [50].

Study selection and data collection

After exporting search results to a reference manager software, two researchers will independently screen titles and abstracts and obtain copies of eligible studies to decide their inclusion in a process that will be detailed into a PRISMA flowchart.

We will design a data extraction form to collect study’s descriptive data and instruments’ characteristics according to: (a) the instrument type [OAMT specific, focused on the treatment of addictive disorders, or generic]; (b) its content validity, relevance, comprehensiveness and comprehensibility assessed using the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) methodology [51]; (c) factor structure [global or unidimensional measures, or multidimensional instruments]; and (d) the extent to which patient perspectives are incorporated into the instrument, based on the level of patient involvement. We will assess patient involvement (i.e., consultation, contribution, collaboration, or control [52]) during all the stages of the tool's development: (a) conceptualization of the construct to be measured and determination of the domains to be assessed; (b) item generation; (c) evaluation of item relevance, comprehensiveness and comprehensibility; and (d) psychometric analysis.

Data analysis and synthesis of findings

We will integrate the characteristics included instruments, their content validity, the degree of patient centeredness, and the domains assessed following a thematic analysis framework [44], mapping the findings in accordance with the study objectives [47].

Utility and applicability of the findings

Once the findings of the scoping review have been obtained, a consultation process will be performed [48, 49] in which patients receiving OAMT will be contacted and asked to provide their views of these findings.

Discussion

In this paper we describe the protocol of a systematic review of qualitative research to obtain a genuine understanding of the perspective from users on opioid agonist maintenance treatments (OAMT) regarding their perception of well-being and quality of life (QoL), as well as a scoping review to assess to what extent the existing measures of these domains were focused on user’s views. Applying a knowledge transfer framework [24, 25], the findings from these reviews will inform the drafting of the items of a patient-centered QoL scale that will be constructed according to measures development standards [53, 54]

The improvement and evaluation of processes and outcomes of care should be open to a broad approach that may reflect patient’s voice and perspectives. It has been hypothesized that patient reported outcomes (PROMs) improve patient’s skills at identifying, bringing meaning and describing health states. Shifting discussion into patients’ perspectives improves their functioning because it addresses some of their fundamental needs, enables them at constructing messages about their health state, and allows healthcare professionals to improve their understanding about these health states [55].

The measurement of relevant outcomes entails the challenge to evaluate processes of care focusing beyond the effectiveness of a determinate intervention, and broadening the perspective to the patient perception of its benefits or the response to treatment. PROMs have shown some positive impact in processes of care such as diagnosis, monitoring progression of disease or management of health conditions and response to treatment [56, 57]. These findings are specifically consistent in the field of mental health [58]. PROMs also constitute a presumably effective method to enhance the communication at medical encounter [59].

On the other hand, PROMs face some practical challenges hindering their ability to truly focus on patient perspective: who decides what to include and what to emphasize in such measures or, in other words, whether they reflect a true representation of patient experience [57]. Despite their potential content validity and relevance for respondents many PROMs have been developed without direct patient participation thus threatening the instruments’ capacity to be sensible to patients’ needs, priorities and preferences [13, 58]. For these reasons the development of measures that are truly representative of patient’s views and experiences should entail an understanding and capacity to capture their nuances and complexity.

Grounded in the knowledge to action framework [25], we plan to conduct a study to adapt and tailor the existing research on the views of patients that are on OAMT about QoL and well-being and implement this knowledge in the development of a patient-centered instrument. To ease the implementation of existing knowledge we are convinced of the role of syntheses of qualitative research in achieving a better understanding of complexity and subjectivity [28, 31]. The scoping review will also contribute to identify the key approaches already existing in the literature to the domain of interest and to define gaps in this area. For that reason we will conduct a review of qualitative studies to obtain a contextualized and reflective representation of OAMT patients’ views of QoL and well-being. Furthermore we will use the CERQual approach to assess the confidence in the synthesis findings [46] and we will use the findings with the highest confidence as a reliable representation of patients’ views that could serve to draft items of the initial version of the scale. Pursuing triangulation of data, we will try to gain in comprehensiveness by collecting additional information from truly patient-centered measurement instruments identified from a scoping review.

At the end we will be able to compile a body of evidence to genuinely grasp the perspective from patients on OAMT regarding their perception of well-being and QoL. We firmly consider that such knowledge is likely to lead to greater patient centeredness in considering QoL and well-being in OAMT, which in turn may contribute to a more patient-centered care for opioid-dependent patients in agonist maintenance treatment [60, 61, 62].

Notes

Acknowledgements

Not applicable.

Authors’ contribution

IS and JT conceived of the study, developed the protocol and drafted the manuscript. The rest of authors contributed to the manuscript content according to their field of expertise. All authors read and approved the final manuscript. IS and JT contributed equally and should be considered co-first authors.

Funding

This study is funded through a grant from Instituto de Salud Carlos III (PI16/00056), co-financed by funds from the European Regional Development Fund. The funding sources have played no role in the study design or preparation of this protocol and will have no role in the execution of the study, analyses and interpretation of data, or decision to submit results for publication.

Ethics approval and consent to participate

This project (code IIBSP-PAC-2017-28) was approved by the Clinical Research Ethics Committee of the Hospital de la Santa Creu i Sant Pau on 27 September 2017.

Consent for publication

Not applicable.

Competing interests

All authors declare no financial interests or potential conflicts of interest related directly or indirectly to this study.

Supplementary material

13643_2019_1237_MOESM1_ESM.docx (14 kb)
Additional file 1: Table S1. Differences between indicators based on hard and soft criteria (adapted from [7]).
13643_2019_1237_MOESM2_ESM.docx (43 kb)
Additional file 2. PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-analysis Protocols) 2015 checklist for the manuscript: quality of life and well-being from the perspective of patients on opioid agonist maintenance treatment: study protocol for a systematic review of qualitative research and a scoping review of measures.
13643_2019_1237_MOESM3_ESM.docx (19 kb)
Additional file 3. Strategy designed to search MEDLINE (OVID Medline Epub ahead of print, in-process and other non-indexed citations, Ovid MEDLINE(R) Daily and Ovid MEDLINE(R) 1946 to present).

References

  1. 1.
    Torrens M, Fonseca, F, Galindo L, Farré M. Opioid addiction: Short- and long-acting opioids. In: el-Guebaly N, Carrà G, Galanter M, editors. Textbook of addiction treatment: International perspectives. Milan: Springer; 2015. p. 467-500.Google Scholar
  2. 2.
    Mattick RP, Breen C, Kimber J, Davoli M. Methadone maintenance therapy versus no opioid replacement therapy for opioid dependence. Cochrane Database Syst Rev. 2009;3:CD002209.Google Scholar
  3. 3.
    Gowing L, Farrell MF, Bornemann R, Sullivan LE, Ali R. Oral substitution treatment of injecting opioid users for prevention of HIV infection. Cochrane Database Syst Rev. 2011;8:CD004145.Google Scholar
  4. 4.
    MacArthur GJ, Minozzi S, Martin N, Vickerman P, Deren S, Bruneau J, et al. Opiate substitution treatment and HIV transmission in people who inject drugs: systematic review and meta-analysis. BMJ. 2012;345:e5945.PubMedPubMedCentralCrossRefGoogle Scholar
  5. 5.
    Mattick RP, Breen C, Kimber J, Davoli M. Buprenorphine maintenance versus placebo or methadone maintenance for opioid dependence. Cochrane Database Syst Rev. 2014;2:CD002207.Google Scholar
  6. 6.
    Sordo L, Barrio G, Bravo MJ, Indave BI, Degenhardt L, Wiessing L, et al. Mortality risk during and after opioid substitution treatment: systematic review and meta-analysis of cohort studies. BMJ. 2017;357:j1550.PubMedPubMedCentralCrossRefGoogle Scholar
  7. 7.
    Iraurgi I, Trujols J, Jimenez-Lerma JM, Landabaso M. Valoración del impacto en salud de las adicciones: Propuesta de la calidad de vida como indicador para la evaluación de resultados. In: Bobes J, Casas M, Gutiérrez M, editors. Manual de trastornos adictivos (2nd ed.). Madrid: Enfoque Editorial; 2011, p. 203-211.Google Scholar
  8. 8.
    Tiffany ST, Friedman L, Greenfield SF, Hasin DS, Jackson R. Beyond drug use: a systematic consideration of other outcomes in evaluations of treatments for substance use disorders. Addiction. 2012;107:709–18.PubMedCrossRefGoogle Scholar
  9. 9.
    Institute for Behavior and Health. Creating a new standard for addiction treatment outcomes. Rockville, MD: Institute for Behavior and Health; 2014.Google Scholar
  10. 10.
    DuPont RL, Compton WM, McLellan AT. Five-year recovery: a new standard for assessing effectiveness of substance use disorder treatment. J Subst Abuse Treat. 2015;58:1–5.PubMedCrossRefGoogle Scholar
  11. 11.
    Salvador-Carulla L, Lucas R, Ayuso-Mateos JL, Miret M. Use of the terms “wellbeing” and “quality of life” in health sciences: a conceptual framework. Eur J Psychiatry. 2014;28:50–65.CrossRefGoogle Scholar
  12. 12.
    Schrank B, Riches S, Coggins T, Tylee A, Slade M. From objectivity to subjectivity: conceptualisation and measurement of well-being in mental health. Neuropsychiatry. 2013;3:525–34.CrossRefGoogle Scholar
  13. 13.
    Fischer B, Rehm J, Kim G. Quality of life (QoL) in illicit drug addiction treatment and research: Concepts, evidence and questions. In: Westerman B, Jellinek C, Bellmann GV, editors. Substitution: Zwischen leben und sterben. Weinheim: Beltz Deutscher Studienverlag; 2001. p. 21–40.Google Scholar
  14. 14.
    Luquiens A, Reynaud M, Falissard B, Aubin HJ. Quality of life among alcohol-dependent patients: how satisfactory are the available instruments? A systematic review. Drug Alcohol Depend. 2012;125:192–202.PubMedCrossRefGoogle Scholar
  15. 15.
    Carr AJ, Higginson IJ. Are quality of life measures patient centred? BMJ. 2001;322:1357–60.PubMedPubMedCentralCrossRefGoogle Scholar
  16. 16.
    Hagell P, Reimer J, Nyberg P. Whose quality of life? Ethical implications in patient-reported health outcome measurement. Value Health. 2009;12:613–7.PubMedCrossRefGoogle Scholar
  17. 17.
    De Maeyer J, Vanderplasschen V, Broekaert E. Exploratory study on drug users' perspectives on quality of life: more than health-related quality of life? Soc Indic Res. 2009;90:107–26.CrossRefGoogle Scholar
  18. 18.
    Strada L, Franke GH, Schulte B, Reimer J, Verthein U. Development of OSTQOL: a measure of quality of life for patients in opioid substitution treatment. Eur Addict Res. 2017;23:238–48.PubMedCrossRefGoogle Scholar
  19. 19.
    Patrick DL, Burke LB, Gwaltney CJ, Leidy NK, Martin ML, Molsen E, et al. Content validity - establishing and reporting the evidence in newly developed patient-reported outcomes (PRO) instruments for medical product evaluation: ISPOR PRO good research practices task force report: part 1 - eliciting concepts for a new PRO instrument. Value Health. 2011;14:967–77.PubMedCrossRefGoogle Scholar
  20. 20.
    Staniszewska S, Haywood KL, Brett J, Tutton L. Patient and public involvement in patient-reported outcome measures: evolution not revolution. Patient. 2012;5:79–87.PubMedCrossRefGoogle Scholar
  21. 21.
    Absolom K, Holch P, Woroncow B, Wright EP, Velikova G. Beyond lip service and box ticking: how effective patient engagement is integral to the development and delivery of patient-reported outcomes. Qual Life Res. 2015;24:1077–85.PubMedCrossRefGoogle Scholar
  22. 22.
    Chalmers I, Glasziou P. Avoidable waste in the production and reporting of research evidence. Lancet. 2009;374(9683):86–9.PubMedCrossRefGoogle Scholar
  23. 23.
    Macleod MR, Michie S, Roberts I, Dirnagl U, Chalmers I, Ioannidis JP, et al. Biomedical research: increasing value, reducing waste. Lancet. 2014;383(9912):101–4.PubMedCrossRefGoogle Scholar
  24. 24.
    Straus SE, Tetroe JM, Graham ID. Knowledge translation is the use of knowledge in health care decision making. J Clin Epidemiol. 2011;64:6–10.PubMedCrossRefGoogle Scholar
  25. 25.
    Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, et al. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26:13–24.PubMedCrossRefGoogle Scholar
  26. 26.
    Noyes J, Booth A, Cargo M, Flemming, Harden A, et al. Chapter 21: Qualitatitve evidence. In: Higgins J, Thomas J, editors. Cochrane handbook for systematic reviews of interventions. Version 6. 2019. Available from https://training.cochrane.org/handbook/current/chapter-21
  27. 27.
    Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. 2018;169(7):467–73.PubMedCrossRefGoogle Scholar
  28. 28.
    Thorne S. Metasynthetic madness: what kind of monster have we created? Qual Health Res. 2017;27:3–12.PubMedCrossRefGoogle Scholar
  29. 29.
    Butler A, Hall H, Copnell B. A guide to writing a qualitative systematic review protocol to enhance evidence-based practice in nursing and health care. Worldviews Evid Based Nurs. 2016;13:241–9.PubMedCrossRefGoogle Scholar
  30. 30.
    Sandelowski M, Barroso J. Handbook for synthesizing qualitative research. New York: Springer; 2007.Google Scholar
  31. 31.
    Noyes J, Booth A, Cargo M, Flemming K, Garside R, Hannes K, et al. Cochrane qualitative and implementation methods group guidance series - paper 1: Introduction. J Clin Epidemiol. 2018;97:35–8.PubMedCrossRefGoogle Scholar
  32. 32.
    Booth A, Clarke M, Dooley G, Ghersi D, Moher D, Petticrew M, et al. The nuts and bolts of PROSPERO: an international prospective register of systematic reviews. Syst Rev. 2012;1:2.PubMedPubMedCentralCrossRefGoogle Scholar
  33. 33.
    Tong A, Flemming K, McInnes E, Oliver S, Craig J. Enhancing transparency in reporting the synthesis of qualitative research: ENTREQ. BMC Med Res Methodol. 2012;12:181.PubMedPubMedCentralCrossRefGoogle Scholar
  34. 34.
    Wong SS, Wilczynski NL, Haynes RB, Team H. Developing optimal search strategies for detecting clinically relevant qualitative studies in MEDLINE. Stud Health Technol Inform. 2004;107:311–6.PubMedGoogle Scholar
  35. 35.
    McKibbon KA, Wilczynski NL, Haynes RB. Developing optimal search strategies for retrieving qualitative studies in PsycINFO. Eval Health Prof. 2006;29:440–54.PubMedCrossRefGoogle Scholar
  36. 36.
    Walters LA, Wilczynski NL, Haynes RB, Team H. Developing optimal search strategies for retrieving clinically relevant qualitative studies in EMBASE. Qual Health Res. 2006;16:162–8.PubMedCrossRefGoogle Scholar
  37. 37.
    Wilczynski N, Marks S, Haynes RB. Search strategies for identifying qualitative studies in CINAHL. Qual Health Res. 2007;17:705–10.PubMedCrossRefGoogle Scholar
  38. 38.
    Dixon-Woods M, Bonas S, Jones DR, Sutton AJ, Booth A, Miller T, et al. How can systematic reviews incorporate qualitative research? A critical perspective. Qual Res. 2006;6:27–44.CrossRefGoogle Scholar
  39. 39.
    Sandelowski M. A matter of taste: evaluating the quality of qualitative research. Nurs Inq. 2015;22:86–94.PubMedCrossRefGoogle Scholar
  40. 40.
    Santiago-Delefosse M, Gavin A, Bruchez C, Roux P, Stephen SL. Quality of qualitative research in the health sciences: analysis of the common criteria present in 58 assessment guidelines by expert users. Soc Sci Med. 2016;148:142–51.PubMedCrossRefGoogle Scholar
  41. 41.
    Noyes J, Booth A, Flemming K, Garside R, Harden A, Lewin S, et al. Cochrane Qualitative and Implementation Methods Group guidance paper 3: methods for assessing methodological limitations, data extraction and synthesis, and confidence in synthesized qualitative findings. J Clin Epidemiol. 2018;97:49–58.PubMedCrossRefGoogle Scholar
  42. 42.
    Critical Appraisal Skills Programme. CASP Qualitative Research Checklist. 2017. http://www.casp-uk.net/casp-tools-checklist. Accessed 3 Jan 2018.
  43. 43.
    Miles MB, Huberman AM, Saldana J. Qualitative data analysis. A methods sourcebook (3rd ed.). London: Sage; 2014.Google Scholar
  44. 44.
    Thomas J, Harden A. Methods for the thematic synthesis of qualitative research in systematic reviews. BMC Med Res Methodol. 2008;8:45.PubMedPubMedCentralCrossRefGoogle Scholar
  45. 45.
    Barnett-Page E, Thomas J. Methods for the synthesis of qualitative research: a critical review. BMC Med Res Methodol. 2009;9:59.PubMedPubMedCentralCrossRefGoogle Scholar
  46. 46.
    Lewin S, Bohren M, Rashidian A, Munthe-Kaas H, Glenton C, Colvin CJ, Garside R, et al. Applying GRADE-CERQual to qualitative evidence synthesis findings-paper 2: how to make an overall CERQual assessment of confidence and create a Summary of Qualitative Findings table. Implement Sci. 2018;13(Suppl 1):10.PubMedPubMedCentralCrossRefGoogle Scholar
  47. 47.
    Peters MD, Godfrey CM, Khalil H, McInerney P, Parker D, Soares CB. Guidance for conducting systematic scoping reviews. Int J Evid Based Healthc. 2015;13:141–6.PubMedCrossRefGoogle Scholar
  48. 48.
    Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. 2005;8:19–32.CrossRefGoogle Scholar
  49. 49.
    Levac D, Colquhoun H, O’Brien KK. Scoping studies: advancing the methodology. Implement Sci. 2010;5:69.PubMedPubMedCentralCrossRefGoogle Scholar
  50. 50.
    MacIntosh A, Casañas i Comabella C, Hadi M, Gibbons E, Fitzpatrick R, Roberts N. PROM Group construct and instrument type filters. Oxford, UK: University of Oxford; 2010. http://www.cosmin.nl/images/upload/files/PROM Gp filtersOCTOBER 2010FINAL.pdf. Accessed 2 Jan 2018.
  51. 51.
    Mokkink LB, de Vet HCW, Prinsen CAC, Patrick DL, Alonso J, Bouter LM, et al. COSMIN risk of bias checklist for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27:1171–9.PubMedCrossRefGoogle Scholar
  52. 52.
    Sweeney A, Morgan L. The levels and stages of service user/survivor involvement in research. In: Wallcraft J, Schrank B, Amering M, editors. Handbook of service user involvement in mental health research. Oxford: Wiley-Blackwell; 2009. p. 25–35.CrossRefGoogle Scholar
  53. 53.
    DeVellis RF. Scale development. Theory and applications (4th ed.). Thousand Oaks, CA: Sage; 2017.Google Scholar
  54. 54.
    Streiner DL, Norman GR. Health measurement scales: a practical guide to their development and use. 4th ed. New York, NY: Oxford University Press; 2008.CrossRefGoogle Scholar
  55. 55.
    Feldman-Stewart D, Brundage MD. A conceptual framework for patient-provider communication: a tool in the PRO research tool box. Qual Life Res. 2009;18:109–14.PubMedCrossRefGoogle Scholar
  56. 56.
    Black N, Burke L, Forrest CB, Sieberer UH, Ahmed S, Valderas JM, et al. Patient-reported outcomes: pathways to better health, better services, and better societies. Qual Life Res. 2016;25:1103–12.PubMedCrossRefGoogle Scholar
  57. 57.
    Lohr KN, Zebrack BJ. Using patient-reported outcomes in clinical practice: challenges and opportunities. Qual Life Res. 2009;18:99–107.PubMedCrossRefGoogle Scholar
  58. 58.
    Marshall S, Haywood K, Fitzpatrick R. Impact of patient-reported outcome measures on routine practice: a structured review. J Eval Clin Pract. 2006;12:559–68.PubMedCrossRefGoogle Scholar
  59. 59.
    Greenhalgh J, Dalkin S, Gooding K, Gibbons E, Wright J, Meads D, et al. Functionality and feedback: a realist synthesis of the collation, interpretation and utilisation of patient-reported outcome measures data to improve patient care. Health Serv Deliv Res. 2017;5(2).CrossRefGoogle Scholar
  60. 60.
    Bilsbury CD, Richman A. A staging approach to measuring patient-centred subjective outcomes. Acta Psychiatr Scand. 2002;106(Suppl 414):5–40.CrossRefGoogle Scholar
  61. 61.
    Dunlop A. Patient-centredness and opioid substitution. In: Moore D, Dietze P, editors. Drugs and public health: Australian perspectives on policy and practice. Melbourne: Oxford University; 2008. p. 95–102.Google Scholar
  62. 62.
    Marchand K, Oviedo-Joekes E. Prioritizing the patient in patient-centered addictions treatment. Addiction. 2017;112:466–7.PubMedCrossRefGoogle Scholar

Copyright information

© The Author(s). 2019

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors and Affiliations

  1. 1.Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB Sant Pau)BarcelonaSpain
  2. 2.CIBER Epidemiología y Salud Pública (CIBERESP)MadridSpain
  3. 3.Addictive Behaviours Unit, Department of PsychiatryHospital de la Santa Creu i Sant PauBarcelonaSpain
  4. 4.Biomedical Research Networking Center on Mental Health (CIBERSAM)BarcelonaSpain
  5. 5.Addictive Behaviors Research GroupBiomedical Research Institute Sant Pau (IIB Sant Pau)BarcelonaSpain
  6. 6.Escuela Superior de Enfermería MarBarcelonaSpain
  7. 7.Departament de Ciències Experimentals i de la SalutUPFBarcelonaSpain
  8. 8.PETRO Research GroupBellaterraSpain
  9. 9.Department of Social PsychologyUniversitat Autònoma de Barcelona (UAB)BellaterraSpain
  10. 10.Department of Psychiatry and Forensic Medicine, School of MedicineAutonomous University of Barcelona (UAB), BellaterraBellaterraSpain

Personalised recommendations