Literature DB >> 24081453

Patient preferences for the treatment of type 2 diabetes: a scoping review.

Susan M Joy1, Emily Little, Nisa M Maruthur, Tanjala S Purnell, John F P Bridges.   

Abstract

BACKGROUND: As more studies report on patient preferences, techniques are needed to identify, assess and, eventually, synthesize results from a diverse set of methodologies. Data on patient preferences are valuable to decision makers in a variety of ways. Preferences for outcomes can be used to inform decision and cost-effectiveness models, while preferences for treatments can inform patient-centered outcomes research (PCOR) and patient-centered care.
OBJECTIVES: This project sought to identify and assess the literature reporting on the treatment preferences of adult patients with type 2 diabetes. In addition to cataloging the preference elicitation methods used, we developed and assessed a novel quality assessment checklist for preference-based studies. DATA SOURCES: PubMed, EMBASE, CINAHL, and EconLit databases were searched to identify studies examining patient preferences for medications for type 2 diabetes studies published since inception of each database. STUDY ELIGIBILITY CRITERIA, PARTICIPANTS, AND
INTERVENTIONS: The review protocol specified inclusion of studies reporting diabetes-treatment preferences among adults with type 2 diabetes, using a range of preference measurement methods. Studies were excluded if participants were not patients with type 2 diabetes and if treatments were not pharmacological therapies targeting glycemic control, or if no primary preference information was collected. Two investigators independently reviewed titles, abstracts, and articles sequentially to select studies for data abstraction based on the inclusion and exclusion criteria. Disagreements were resolved by consensus. STUDY APPRAISAL AND SYNTHESIS
METHODS: Data on study country, year, number of respondents, preference elicitation method, number of attributes, subgroup analyses, and funding source were abstracted into standardized tables. A novel checklist (PREFS) was used to assess the data quality and validity across different types of preference studies by assessing the following: purpose of the study; respondent sampling; explanation of preference assessment methods; findings reported for total sample; and significance testing. Each item was scored, and an aggregate score was then calculated (ranging from 0 to 5).
RESULTS: Of the 2,100 unique citations, 61 met the inclusion criteria. The studies used conjoint analysis (n = 10), time trade-off (n = 6), standard gamble (n = 2), contingent valuation (n = 1), other stated preference methods (n = 39), and revealed preferences (n = 5). Sample sizes ranged from 27 to 14,033, with an average of 562 respondents, and two-thirds included a subgroup analysis. Most studies were conducted in one country, predominantly the USA (n = 27), UK (n = 14), Canada (n = 10), and Germany (n = 7), while 14 were conducted in multiple (2-18) countries across two or more countries. There was an increase in the annual rate of studies published over time from the time of the first publication in 1985 (p = < 0.01). Most (n = 52) studies were funded by pharmaceutical or device companies, with government, academic, association, and hospital sources also funding studies. One study met all five of the PREFS criteria and 12 met four; yet four studies met none of the criteria. The average was 27. LIMITATIONS: Currently, preferences reviews are limited by the mixed quality in the reporting of studies, the publication bias inherent in the literature, a lack of guidelines to conduct various methods, and the difficulty of synthesizing results from different studies. Our study is also limited by its focus on English language articles. CONCLUSIONS AND IMPLICATIONS OF KEY
FINDINGS: This study provides the first systematic evaluation of the methods used in the broad existing body of research into patient preferences for type 2 diabetes medications and can serve as a primary source of information for decision makers. Future work is necessary to assess the utility of the results of reviews of preference information and to develop best-practice guidelines for the reporting of, and methods of conducting, preference studies and systematic reviews of such studies. REGISTRATION: This systematic review was registered with PROSPERO (registration number CRD42012002285).

Entities:  

Mesh:

Year:  2013        PMID: 24081453     DOI: 10.1007/s40273-013-0089-7

Source DB:  PubMed          Journal:  Pharmacoeconomics        ISSN: 1170-7690            Impact factor:   4.981


  103 in total

1.  Rational decision-making in mental health: the role of systematic reviews.

Authors:  Simon M. Gilbody; Mark Petticrew
Journal:  J Ment Health Policy Econ       Date:  1999-09-01

Review 2.  Multi-attribute preference functions. Health Utilities Index.

Authors:  G W Torrance; W Furlong; D Feeny; M Boyle
Journal:  Pharmacoeconomics       Date:  1995-06       Impact factor: 4.981

3.  The feasibility of creating a checklist for the assessment of the methodological quality both of randomised and non-randomised studies of health care interventions.

Authors:  S H Downs; N Black
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

Review 4.  Ordinal preference elicitation methods in health economics and health services research: using discrete choice experiments and ranking methods.

Authors:  Shehzad Ali; Sarah Ronaldson
Journal:  Br Med Bull       Date:  2012-08-02       Impact factor: 4.291

5.  Willingness to pay for inhaled insulin: a contingent valuation approach.

Authors:  Hamid Sadri; Linda D MacKeigan; Lawrence A Leiter; Thomas R Einarson
Journal:  Pharmacoeconomics       Date:  2005       Impact factor: 4.981

6.  Shared decision making in the United States: policy and implementation activity on multiple fronts.

Authors:  Dominick L Frosch; Benjamin W Moulton; Richard M Wexler; Margaret Holmes-Rovner; Robert J Volk; Carrie A Levin
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2011-04-29

7.  Patient-reported outcomes in adults with type 2 diabetes using mealtime inhaled technosphere insulin and basal insulin versus premixed insulin.

Authors:  Mark Peyrot; Richard R Rubin
Journal:  Diabetes Technol Ther       Date:  2011-10-14       Impact factor: 6.118

8.  Scoping studies: advancing the methodology.

Authors:  Danielle Levac; Heather Colquhoun; Kelly K O'Brien
Journal:  Implement Sci       Date:  2010-09-20       Impact factor: 7.327

9.  The effect of the availability of inhaled insulin on glycaemic control in patients with Type 2 diabetes failing on oral therapy: the evaluation of Exubera as a therapeutic option on insulin initiation and improvement in glycaemic control in clinical practice (EXPERIENCE) trial.

Authors:  S Del Prato; L Blonde; L Martinez; B Göke; V Woo; A Millward; R Gomis; B Canovatchel; T Strack; D Lawrence; N Freemantle
Journal:  Diabet Med       Date:  2008-04-23       Impact factor: 4.359

10.  A multicenter, randomized, open-label, comparative, two-period crossover trial of preference, efficacy, and safety profiles of a prefilled, disposable pen and conventional vial/syringe for insulin injection in patients with type 1 or 2 diabetes mellitus.

Authors:  Mary Korytkowski; David Bell; Carol Jacobsen; Rudee Suwannasari
Journal:  Clin Ther       Date:  2003-11       Impact factor: 3.393

View more
  41 in total

1.  Art and Science of Instrument Development for Stated-Preference Methods.

Authors:  Ellen M Janssen; John F P Bridges
Journal:  Patient       Date:  2017-08       Impact factor: 3.883

2.  Personalizing Second-Line Type 2 Diabetes Treatment Selection: Combining Network Meta-analysis, Individualized Risk, and Patient Preferences for Unified Decision Support.

Authors:  Sung Eun Choi; Seth A Berkowitz; John S Yudkin; Huseyin Naci; Sanjay Basu
Journal:  Med Decis Making       Date:  2019-02-15       Impact factor: 2.583

3.  Using Latent Class Analysis to Model Preference Heterogeneity in Health: A Systematic Review.

Authors:  Mo Zhou; Winter Maxwell Thayer; John F P Bridges
Journal:  Pharmacoeconomics       Date:  2018-02       Impact factor: 4.981

Review 4.  A Systematic Review Comparing the Acceptability, Validity and Concordance of Discrete Choice Experiments and Best-Worst Scaling for Eliciting Preferences in Healthcare.

Authors:  Jennifer A Whitty; Ana Sofia Oliveira Gonçalves
Journal:  Patient       Date:  2018-06       Impact factor: 3.883

Review 5.  Patient Preferences for Breast Cancer Treatment Interventions: A Systematic Review of Discrete Choice Experiments.

Authors:  Renata Leborato Guerra; Luciana Castaneda; Rita de Cássia Ribeiro de Albuquerque; Camila Belo Tavares Ferreira; Flávia de Miranda Corrêa; Ricardo Ribeiro Alves Fernandes; Liz Maria de Almeida
Journal:  Patient       Date:  2019-12       Impact factor: 3.883

6.  Factors Influencing Men's Choice of and Adherence to Active Surveillance for Low-risk Prostate Cancer: A Mixed-method Systematic Review.

Authors:  Netty Kinsella; Pär Stattin; Declan Cahill; Christian Brown; Anna Bill-Axelson; Ola Bratt; Sigrid Carlsson; Mieke Van Hemelrijck
Journal:  Eur Urol       Date:  2018-03-26       Impact factor: 20.096

7.  A Framework for Instrument Development of a Choice Experiment: An Application to Type 2 Diabetes.

Authors:  Ellen M Janssen; Jodi B Segal; John F P Bridges
Journal:  Patient       Date:  2016-10       Impact factor: 3.883

8.  Perceived Barriers and Potential Strategies to Improve Self-Management Among Adults with Type 2 Diabetes: A Community-Engaged Research Approach.

Authors:  Tanjala S Purnell; Thomas J Lynch; Lee Bone; Jodi B Segal; Crystal Evans; Daniel R Longo; John F P Bridges
Journal:  Patient       Date:  2016-08       Impact factor: 3.883

9.  Outcome Preferences in Patients With Noninfectious Uveitis: Results of a Best-Worst Scaling Study.

Authors:  Tsung Yu; Janet T Holbrook; Jennifer E Thorne; Terry N Flynn; Mark L Van Natta; Milo A Puhan
Journal:  Invest Ophthalmol Vis Sci       Date:  2015-10       Impact factor: 4.799

Review 10.  Contingent Valuation Studies in Orthopaedic Surgery: A Health Economic Review.

Authors:  Benedict U Nwachukwu; Claire D Eliasberg; Kamran S Hamid; Michael C Fu; Bernard R Bach; Answorth A Allen; Todd J Albert
Journal:  HSS J       Date:  2018-04-09
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.