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Patient satisfaction with the quality of care received is associated with adherence to antidepressant medications.
Donneyong, Macarius M; Bynum, Mary; Kemavor, Ameena; Crossnohere, Norah L; Schuster, Anne; Bridges, John.
Afiliação
  • Donneyong MM; Division of Outcomes and Translational Sciences, College of Pharmacy, The Ohio State University, Columbus, OH, United States of America.
  • Bynum M; Healthcare Management, Franklin University, Columbus, Ohio, United States of America.
  • Kemavor A; ADAMH Board of Franklin County, Columbus, OH, United States of America.
  • Crossnohere NL; Division of General Internal Medicine, The Ohio State College of Medicine, Columbus, Ohio, United States of America.
  • Schuster A; Department of Biomedical Informatics, The Ohio State College of Medicine, Columbus, Ohio, United States of America.
  • Bridges J; Department of Biomedical Informatics, The Ohio State College of Medicine, Columbus, Ohio, United States of America.
PLoS One ; 19(1): e0296062, 2024.
Article em En | MEDLINE | ID: mdl-38180988
ABSTRACT

BACKGROUND:

There is a paucity of evidence on the association between satisfaction with quality of care and adherence to antidepressants.

OBJECTIVES:

To examine the association between patient satisfaction with healthcare and adherence to antidepressants.

METHODS:

A cohort study design was used to identify antidepressant users from the 2010-2016Medical Expenditure Panel Survey data, a national longitudinal complex survey study design on the cost and healthcare utilization of the noninstitutionalized population in the United States. The Consumer Assessment of Healthcare Providers and Systems were used to measure participants' satisfaction with access and quality of care, patient-provider communication and shared decision-making (SDM). Patients were considered satisfied if they ranked the quality of care at ≥9 (range 0[worst]- 10[best]). Antidepressant adherence was measured based on medication refill and complete discontinuation. MEPS sampling survey-weighted multivariable-adjusted logistic regression models were used to calculate the odds ratios (ORs) and 95% confidence intervals (CIs) for the associations between satisfaction and adherence to antidepressants. We tested for the potential presence of reverse associations by restricting the analysis to new users of antidepressants. The roles of patient-provider communication and SDM on the satisfaction-adherence association were examined through structural equation models (SEM).

RESULTS:

Among 4,990 (weighted counts = 8,661,953) antidepressant users, 36% were adherent while 39% discontinued antidepressants therapy. Half of antidepressant users were satisfied with the healthcare received. Satisfied patients were 26% (OR = 1.26, 95%CI 1.08, 1.47) more likely to adhere and 17% (OR = 0.83, 95%CI 0.71, 0.96) less likely to discontinue, compared to unsatisfied antidepressant users. Patient satisfaction was also associated with higher odds (OR = 1.41, 95%CI 1.06, 1.88) of adherence among a subgroup of new users of antidepressants. The SEM analysis revealed that satisfaction was a manifestation of patient-provider communication (ß = 2.03, P-value<0.001) and SDM (ß = 1.14, P-value<0.001).

CONCLUSIONS:

Patient satisfaction is a potential predictor of antidepressant adherence. If our findings are confirmed through intervention studies, improving patient-provider communication and SDM could likely drive both patient satisfaction and adherence to antidepressants.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Satisfação do Paciente / Antidepressivos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Satisfação do Paciente / Antidepressivos Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article