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1.
Prev Med ; 103: 98-102, 2017 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-28751176

RESUMO

Expanding on evidence that interventions to improve health are more effective when informed by behavioral science, we explore whether reminders designed to harness behavioral science principles can improve medication adherence. We conducted a randomized controlled trial with 46,581 U.S. participants with commercial or Medicare Advantage insurance from Humana. Participants were randomly assigned to one of four experimental conditions. Participants in the usual care condition only received standard mailings that the insurer usually sends. In addition to the standard mailings, participants in the other three conditions also received (1) mailings that reminded them to take a target medication (basic reminder condition), (2) reminders that prompted them to predict their medication adherence in the next 30days (prediction condition), or (3) reminders that prompted them to commit to a self-determined level of adherence for the next 30days (commitment condition). We sent these mailings once a month for three months from November, 2014 through January, 2015, and tracked prescription refills. We find that, during the mailing period, reminders increased adherence by 0.95 percentage points (p<0.05), and this effect was driven by the prediction and commitment conditions; during the three-month post-mailing period, reminders increased adherence by 0.98 percentage points (p<0.05), and this effect was driven by the basic reminder and commitment conditions. The reminders increased medication adherence by 0.7 pills per dollar spent over our 181day study period. Trial registry name: Effect of Reminders on Adherence. Registration identification number: NCT02411006 URL for the registry: https://clinicaltrials.gov/ct2/show/NCT02411006.


Assuntos
Adesão à Medicação/estatística & dados numéricos , Serviços Postais/estatística & dados numéricos , Sistemas de Alerta/estatística & dados numéricos , Idoso , Feminino , Humanos , Masculino
3.
Am J Manag Care ; 21(11): e601-8, 2015 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-26735293

RESUMO

OBJECTIVES: To investigate exposure sequences correlated with gaps in diabetes medication refills and to identify opportunities for targeted outreach for improved adherence. STUDY DESIGN: Sequence discovery was used to identify exposures from various data sources that preceded a gap in diabetes medication refills. METHODS: Patients who refilled a diabetes medication and had 6 months of continuous refill history were included. Patients with a therapy gap between February 1, 2012, and March 31, 2013, formed the gap group; those without formed the no-gap group. Gaps were defined as a prescription refill obtained 6 days or more after the days' supply of the previous refill. Exposure sequences were explored in the 90 days before the gap, or before the date of last refill in the study period for the no-gap group. Exposures and sequences offering opportunity for health plan outreach were identified based on sequence length, confidence, number of intervention points, and higher gap group prevalence. RESULTS: Three exposure sequences with the greatest outreach opportunity to impact downstream adherence were identified within individuals taking diabetes medications who: 1) are prescribed a new medication-especially those with multiple out-of-network claims and/or visit a specialty physician after the new medication is prescribed; 2) have a prescription claim reversed by a pharmacist-particularly patients who are subsequently prescribed a new medication or visit a specialty physician; and 3) have multiple out-of-network claims and a hospitalization. CONCLUSIONS: As medication adherence is a persisting challenge, novel application of sequence discovery techniques identified unique sequences of events with opportunities for outreach.


Assuntos
Hipoglicemiantes/uso terapêutico , Adesão à Medicação , Idoso , Mineração de Dados , Diabetes Mellitus/tratamento farmacológico , Feminino , Humanos , Masculino , Medicamentos sob Prescrição/uso terapêutico , Sistemas de Alerta , Fatores de Tempo
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