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1.
Res Social Adm Pharm ; 17(10): 1800-1809, 2021 10.
Artigo em Inglês | MEDLINE | ID: mdl-33608244

RESUMO

BACKGROUND: Medication adherence for chronic conditions continues to be a challenge for patients. Patient incentives for medication adherence may help. Financial incentives delivered at the point of care may act as cues for medication-taking behavior. OBJECTIVES: The purpose of this study was to investigate patient preferences for specific structures of financial medication adherence incentives that could feasibly be delivered at the point of care. METHODS: A discrete choice experiment (DCE) was performed using a national online survey. Study participants were adults who self-reported taking at least one prescription medication for one or more chronic conditions. Following an orthogonal design generated in SAS, the DCE included 32 paired-choice tasks. Data were analyzed using mixed logit models and stratified on participants' income level. RESULTS: In the full cohort (n = 933), form of financial reward (such as gift-card or cash) was 1.02 times as important to participants as the probability of incentive receipt, 1.58 times as important as monetary value, and 1.93 times as important as timing of receipt. Participants were willing to give up $31.04 of an incentive's monetary value (95% CI = $27.11-$34.98) to receive the incentive 5 months sooner (1-month vs. 6-month time-lag); $60.79 (95% CI = $53.19-$68.39) for probability of receipt to increase from a 1 out of 100 chance to a 1 out of 20 chance; and $10.52 (95% CI = $6.46-$14.58) to receive an incentive in the form of a Visa® gift-card instead of grocery store voucher. These patterns of trade-offs between attributes were generally consistent among participants with lower and higher income. CONCLUSIONS: Regardless of socioeconomic status, patient preferences for financial medication adherence incentives delivered at the point of care may be most heavily influenced by incentive form and probability of receipt. This has implications for designing medication adherence programs in terms of incentive sustainability, patient engagement, plan star ratings, and patient outcomes.


Assuntos
Motivação , Preferência do Paciente , Adulto , Doença Crônica , Humanos , Adesão à Medicação
2.
J Pediatr Pharmacol Ther ; 24(4): 254-269, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31337988

RESUMO

OBJECTIVE: To assess adolescents' preferred mobile app features and to propose a framework for evaluating health-related mobile apps for adolescents. METHODS: PubMed, CINAHL, PsycINFO, ERIC, HealthIT.gov, and ClinicalTrials.gov were systematically searched in August 2017. Studies pertaining to app development, feasibility, or usability that reported preferred app features and rating criteria on mHealth (mobile health) apps intended for adolescents were included. Quality assessment was performed using the Mixed Methods Appraisal Tool. Qualitative synthesis was performed to develop themes reflecting best practices for evaluating the quality of mHealth apps for adolescents. Using a grounded theory approach, we constructed a theoretical framework of rating criteria that can be used to inform development of an evaluation tool for mHealth apps targeted to adolescents. RESULTS: Thirteen articles were included. Most commonly preferred features include ability to track test results or self-management progress, connect to social media, and gain points or prizes through app gamification. Common rating criteria include degree of app customizability, ease of use, visual appeal, and interactivity. Five emerging dimensions were used in the theoretical framework: Technical Quality; Engagement; Support System; Autonomy; and Safety, Privacy, and Trust. CONCLUSIONS: We found that adolescents prefer mHealth apps that are customizable, offer peer support through social media, sustain engagement via gamification, and support the ability to visualize health trends via simplified graphs. Findings may help in the development of mHealth apps that are preferred by adolescents, as well as the development of a quality evaluation tool for mHealth apps targeted to this population.

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