Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Dae Jung Kim, Elizabeth A Schlenk
{"title":"糖尿病患者的服药轨迹及其相关因素:基于信息-动机-行为技能模型。","authors":"Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Dae Jung Kim, Elizabeth A Schlenk","doi":"10.1177/26350106241293120","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>The purpose was to identify trajectories of medication taking among patients with diabetes and investigate correlates of these trajectories using the information-motivation-behavioral skills (IMB) model.</p><p><strong>Methods: </strong>This study employed a descriptive correlational, longitudinal design using convenience sampling. The participants were 96 adults with diabetes from an outpatient diabetes clinic at a university-affiliated hospital. Medication taking was assessed at 3 time points: baseline, 6 months, and 12 months. At baseline, study variables based on the IMB model were measured: medication knowledge (information), motivational readiness and social support (motivation), and medication self-efficacy (behavioral skills). Group-based trajectory modeling was used to identify medication-taking trajectories, and multinomial logistic regression was used to assess factors associated with medication-taking trajectories.</p><p><strong>Results: </strong>Three distinct medication-taking trajectory groups were identified: \"high medication taking,\" \"increasing medication taking,\" and \"low medication taking.\" Higher medication knowledge was associated with the high and increasing medication-taking trajectory groups. Motivational readiness was associated with the high and increasing medication-taking groups. In contrast, higher medication self-efficacy was associated only with the high medication-taking group, not with the increasing and low medication-taking groups.</p><p><strong>Conclusions: </strong>The findings suggest that knowledge, motivational readiness, and self-efficacy are essential in IMB model-based intervention strategies across dynamic medication-taking patterns to enhance medication taking. Health care providers can help patients with diabetes improve medication taking by understanding their medication-taking trajectories and their correlates. Strategies that enhance medication self-efficacy are essential for patients in the increasing and low medication-taking groups.</p>","PeriodicalId":75187,"journal":{"name":"The science of diabetes self-management and care","volume":" ","pages":"100-109"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Medication-Taking Trajectory and Its Correlates in Patients With Diabetes: Based on the Information-Motivation-Behavioral Skills Model.\",\"authors\":\"Shinae Seo, Chun-Ja Kim, Hee Sun Kang, Dae Jung Kim, Elizabeth A Schlenk\",\"doi\":\"10.1177/26350106241293120\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>The purpose was to identify trajectories of medication taking among patients with diabetes and investigate correlates of these trajectories using the information-motivation-behavioral skills (IMB) model.</p><p><strong>Methods: </strong>This study employed a descriptive correlational, longitudinal design using convenience sampling. The participants were 96 adults with diabetes from an outpatient diabetes clinic at a university-affiliated hospital. Medication taking was assessed at 3 time points: baseline, 6 months, and 12 months. At baseline, study variables based on the IMB model were measured: medication knowledge (information), motivational readiness and social support (motivation), and medication self-efficacy (behavioral skills). Group-based trajectory modeling was used to identify medication-taking trajectories, and multinomial logistic regression was used to assess factors associated with medication-taking trajectories.</p><p><strong>Results: </strong>Three distinct medication-taking trajectory groups were identified: \\\"high medication taking,\\\" \\\"increasing medication taking,\\\" and \\\"low medication taking.\\\" Higher medication knowledge was associated with the high and increasing medication-taking trajectory groups. Motivational readiness was associated with the high and increasing medication-taking groups. In contrast, higher medication self-efficacy was associated only with the high medication-taking group, not with the increasing and low medication-taking groups.</p><p><strong>Conclusions: </strong>The findings suggest that knowledge, motivational readiness, and self-efficacy are essential in IMB model-based intervention strategies across dynamic medication-taking patterns to enhance medication taking. Health care providers can help patients with diabetes improve medication taking by understanding their medication-taking trajectories and their correlates. Strategies that enhance medication self-efficacy are essential for patients in the increasing and low medication-taking groups.</p>\",\"PeriodicalId\":75187,\"journal\":{\"name\":\"The science of diabetes self-management and care\",\"volume\":\" \",\"pages\":\"100-109\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"The science of diabetes self-management and care\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/26350106241293120\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/19 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"The science of diabetes self-management and care","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/26350106241293120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/19 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
Medication-Taking Trajectory and Its Correlates in Patients With Diabetes: Based on the Information-Motivation-Behavioral Skills Model.
Purpose: The purpose was to identify trajectories of medication taking among patients with diabetes and investigate correlates of these trajectories using the information-motivation-behavioral skills (IMB) model.
Methods: This study employed a descriptive correlational, longitudinal design using convenience sampling. The participants were 96 adults with diabetes from an outpatient diabetes clinic at a university-affiliated hospital. Medication taking was assessed at 3 time points: baseline, 6 months, and 12 months. At baseline, study variables based on the IMB model were measured: medication knowledge (information), motivational readiness and social support (motivation), and medication self-efficacy (behavioral skills). Group-based trajectory modeling was used to identify medication-taking trajectories, and multinomial logistic regression was used to assess factors associated with medication-taking trajectories.
Results: Three distinct medication-taking trajectory groups were identified: "high medication taking," "increasing medication taking," and "low medication taking." Higher medication knowledge was associated with the high and increasing medication-taking trajectory groups. Motivational readiness was associated with the high and increasing medication-taking groups. In contrast, higher medication self-efficacy was associated only with the high medication-taking group, not with the increasing and low medication-taking groups.
Conclusions: The findings suggest that knowledge, motivational readiness, and self-efficacy are essential in IMB model-based intervention strategies across dynamic medication-taking patterns to enhance medication taking. Health care providers can help patients with diabetes improve medication taking by understanding their medication-taking trajectories and their correlates. Strategies that enhance medication self-efficacy are essential for patients in the increasing and low medication-taking groups.