Community stakeholder preferences for evidence-based practice implementation strategies in behavioral health: a best-worst scaling choice experiment

被引:6
|
作者
Williams, Nathaniel J. [1 ]
Candon, Molly [2 ,3 ]
Stewart, Rebecca E. [2 ,3 ]
Byeon, Y. Vivian [2 ,4 ]
Bewtra, Meenakshi [5 ,6 ,7 ]
Buttenheim, Alison M. [3 ,8 ,9 ,10 ]
Zentgraf, Kelly [2 ]
Comeau, Carrie [11 ]
Shoyinka, Sonsunmolu [11 ]
Beidas, Rinad S. [2 ,3 ,8 ,9 ,12 ,13 ]
机构
[1] Boise State Univ, Sch Social Work, Boise, ID 83725 USA
[2] Univ Penn, Dept Psychiat, Perelman Sch Med, Philadelphia, PA 19104 USA
[3] Univ Penn, Leonard Davis Inst Hlth Econ, Philadelphia, PA 19104 USA
[4] Univ Calif Los Angeles, Dept Psychol, Los Angeles, CA USA
[5] Univ Penn, Perelman Sch Med, Ctr Clin Epidemiol & Biostat, Philadelphia, PA 19104 USA
[6] Univ Penn, Div Gastroenterol, Philadelphia, PA 19104 USA
[7] Univ Penn, Dept Biostat & Epidemiol, Philadelphia, PA 19104 USA
[8] Univ Penn, Perelman Sch Med, Dept Med Eth & Hlth Policy, Philadelphia, PA 19104 USA
[9] Univ Penn, Ctr Hlth Incent & Behav Econ, Philadelphia, PA 19104 USA
[10] Univ Penn, Sch Nursing, Dept Family & Community Hlth, Philadelphia, PA 19104 USA
[11] Dept Behav Hlth & Intellectual disAbil Serv DBHID, Philadelphia, PA USA
[12] Univ Penn, Dept Med, Perelman Sch Med, Philadelphia, PA 19104 USA
[13] Univ Penn, Leonard Davis Inst Hlth Econ PISCE LDI, Penn Implementat Sci Ctr, 3535 Market St,3015, Philadelphia, PA 19104 USA
基金
美国国家卫生研究院;
关键词
Evidence-based practice; Implementation; Stakeholder preferences; Participatory design;
D O I
10.1186/s12888-021-03072-x
中图分类号
R749 [精神病学];
学科分类号
100205 ;
摘要
BackgroundCommunity behavioral health clinicians, supervisors, and administrators play an essential role in implementing new psychosocial evidence-based practices (EBP) for patients receiving psychiatric care; however, little is known about these stakeholders' values and preferences for implementation strategies that support EBP use, nor how best to elicit, quantify, or segment their preferences. This study sought to quantify these stakeholders' preferences for implementation strategies and to identify segments of stakeholders with distinct preferences using a rigorous choice experiment method called best-worst scaling.MethodsA total of 240 clinicians, 74 clinical supervisors, and 29 administrators employed within clinics delivering publicly-funded behavioral health services in a large metropolitan behavioral health system participated in a best-worst scaling choice experiment. Participants evaluated 14 implementation strategies developed through extensive elicitation and pilot work within the target system. Preference weights were generated for each strategy using hierarchical Bayesian estimation. Latent class analysis identified segments of stakeholders with unique preference profiles.ResultsOn average, stakeholders preferred two strategies significantly more than all others-compensation for use of EBP per session and compensation for preparation time to use the EBP (P<.05); two strategies were preferred significantly less than all others-performance feedback via email and performance feedback via leaderboard (P<.05). However, latent class analysis identified four distinct segments of stakeholders with unique preferences: Segment 1 (n=121, 35%) strongly preferred financial incentives over all other approaches and included more administrators; Segment 2 (n=80, 23%) preferred technology-based strategies and was younger, on average; Segment 3 (n=52, 15%) preferred an improved waiting room to enhance client readiness, strongly disliked any type of clinical consultation, and had the lowest participation in local EBP training initiatives; Segment 4 (n=90, 26%) strongly preferred clinical consultation strategies and included more clinicians in substance use clinics.ConclusionsThe presence of four heterogeneous subpopulations within this large group of clinicians, supervisors, and administrators suggests optimal implementation may be achieved through targeted strategies derived via elicitation of stakeholder preferences. Best-worst scaling is a feasible and rigorous method for eliciting stakeholders' implementation preferences and identifying subpopulations with unique preferences in behavioral health settings.
引用
收藏
页数:12
相关论文
共 50 条
  • [41] Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment
    Soekhai, Vikas
    Donkers, Bas
    Johansson, Jennifer Viberg
    Jimenez-Moreno, Cecilia
    Pinto, Cathy Anne
    de Wit, G. Ardine
    de Bekker-Grob, Esther
    PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 2023, 16 (03): : 239 - 253
  • [42] Comparing Outcomes of a Discrete Choice Experiment and Case 2 Best-Worst Scaling: An Application to Neuromuscular Disease Treatment
    Vikas Soekhai
    Bas Donkers
    Jennifer Viberg Johansson
    Cecilia Jimenez-Moreno
    Cathy Anne Pinto
    G. Ardine de Wit
    Esther de Bekker-Grob
    The Patient - Patient-Centered Outcomes Research, 2023, 16 : 239 - 253
  • [43] Prostate cancer survivors' preferences on the delivery of diet and lifestyle advice: a pilot best-worst discrete choice experiment
    Robles, Luke A.
    Wright, Stuart J.
    Hackshaw-McGeagh, Lucy
    Shingler, Ellie
    Shiridzinomwa, Constance
    Lane, J. Athene
    Martin, Richard M.
    Burden, Sorrel
    PILOT AND FEASIBILITY STUDIES, 2020, 6 (01)
  • [44] A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best-Worst Scaling for Eliciting Preferences in Healthcare
    Whitty, Jennifer A.
    Goncalves, Ana Sofia Oliveira
    PATIENT-PATIENT CENTERED OUTCOMES RESEARCH, 2018, 11 (03): : 301 - 317
  • [45] EMPIRICAL COMPARISON OF DISCRETE CHOICE EXPERIMENT AND BEST-WORST SCALING TO ESTIMATE STAKEHOLDERS' RISK TOLERANCE FOR HIP REPLACEMENT SURGERY
    van Dijk, J. D.
    Groothuis-Oudshoorn, K. G.
    Marshall, D.
    IJzerman, M. J.
    VALUE IN HEALTH, 2013, 16 (03) : A226 - A227
  • [46] An Empirical Comparison of Discrete Choice Experiment and Best-Worst Scaling to Estimate Stakeholders' Risk Tolerance for Hip Replacement Surgery
    van Dijk, Joris D.
    Groothuis-Oudshoorn, Catharina G. M.
    Marshall, Deborah A.
    Ijzerman, Maarten J.
    VALUE IN HEALTH, 2016, 19 (04) : 316 - 322
  • [47] Conceptualizing Implementation Practice Capacity in Community-Based Organizations Delivering Evidence-Based Behavioral Health Services
    Enya B. Vroom
    Oliver T. Massey
    Dinorah Martinez Tyson
    Bruce Lubotsky Levin
    Amy L. Green
    Global Implementation Research and Applications, 2021, 1 (4): : 246 - 257
  • [48] Understanding the relative valuation of research impact: a best-worst scaling experiment of the general public and biomedical and health researchers
    Pollitt, Alexandra
    Potoglou, Dimitris
    Patil, Sunil
    Burge, Peter
    Guthrie, Susan
    King, Suzanne
    Wooding, Steven
    Grant, Jonathan
    BMJ OPEN, 2016, 6 (08):
  • [49] Eliciting preferences for priority setting in genetic testing: a pilot study comparing best-worst scaling and discrete-choice experiments
    Severin, Franziska
    Schmidtke, Joerg
    Muehlbacher, Axel
    Rogowski, Wolf H.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2013, 21 (11) : 1202 - 1208
  • [50] Eliciting preferences for priority setting in genetic testing: a pilot study comparing best-worst scaling and discrete-choice experiments
    Franziska Severin
    Jörg Schmidtke
    Axel Mühlbacher
    Wolf H Rogowski
    European Journal of Human Genetics, 2013, 21 : 1202 - 1208