Development and evaluation of measures to assess self-determination in peripartum contraceptive decision-making.

Contraceptive counseling Instrument development Person-centered care Self-Determination Theory

Journal

Contraception
ISSN: 1879-0518
Titre abrégé: Contraception
Pays: United States
ID NLM: 0234361

Informations de publication

Date de publication:
17 Nov 2023
Historique:
received: 11 04 2023
revised: 09 11 2023
accepted: 13 11 2023
pubmed: 19 11 2023
medline: 19 11 2023
entrez: 18 11 2023
Statut: aheadofprint

Résumé

We aimed to adapt and validate person-centered measures to evaluate various contributors to self-determination in perinatal contraceptive decision-making. We developed and administered four scales adapted from existing measures in the context of Self-Determination Theory: the Treatment Self-Regulation Questionnaire (TSRQ), Perceived Competence Scale, modified Health Care Climate Questionnaire, and Important Other Climate Questionnaire. The TSRQ consists of three subscales: autonomous motivation, controlled motivation, and amotivation. We recruited a nonprobability convenience sample of 300 hospitalized postpartum patients in Baltimore, MD, between 2015 and 2016 and administered surveys in English and Spanish. We validated the scales with Cronbach's alpha coefficients, confirmatory factor analysis, and invariance analysis. We examined construct validity by testing correlations between the scales and other person-centered measures, such as satisfaction with counseling. Cronbach's alpha was >0.8 except for the amotivation subscale. Confirmatory factor analysis was adequate for all scales. Autonomous motivation correlated positively and significantly with perceived competence, health care provider autonomy support, important other autonomy support, and other measures of patient satisfaction. We found the four scales to be internally consistent and valid except for the amotivation subscale. We recommend using the autonomous motivation subscale in place of the full TSRQ. The autonomous motivation subscale, Perceived Competence Scale, modified Health Care Climate Questionnaire, and Important Other Climate Questionnaire showed adequate internal consistency, construct validity, and adherence to the expected conceptual structure of the scales. Autonomous decision-making is central to ethics and quality of care, especially for contraceptive methods that require a provider for initiation or discontinuation and at more vulnerable times, such as postpartum and postabortion. These scales may help tailor person-centered and autonomy-supportive interventions and programs to improve contraceptive counseling and care delivery.

Identifiants

pubmed: 37979643
pii: S0010-7824(23)00444-4
doi: 10.1016/j.contraception.2023.110329
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

110329

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Auteurs

Katharine Sznajder (K)

Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Johns Hopkins Bayview Hospital, Baltimore, MD, United States. Electronic address: katharine.k.sznajder@kp.org.

Katrina Thaler (K)

Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Johns Hopkins Bayview Hospital, Baltimore, MD, United States.

Jamie Perin (J)

Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

Anne E Burke (AE)

Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Johns Hopkins Bayview Hospital, Baltimore, MD, United States; Department of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

Geoffrey C Williams (GC)

Department of Medicine, Psychology, and Psychiatry, Center for Community Health and Prevention, University of Rochester Medical Center, Rochester, NY, United States.

Carolyn Sufrin (C)

Department of Gynecology & Obstetrics, Johns Hopkins University School of Medicine, Johns Hopkins Bayview Hospital, Baltimore, MD, United States.

Classifications MeSH