Factors associated with patient activation in a Turkish population with diabetes and/or hypertension

Sakarya, Sibel; Kulak, Ercan; Karaketir, Şeyma Görçin; Doğan, Ender; Akman, Mehmet; Çifçili, Serap; Güneş, Evrim Didem; Örmeci, Lerzan

doi:10.1093/eurpub/ckz186.225

Cited by 4 publications

(2 citation statements)

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“…The reason might be more educated individuals are more involved in therapeutic communication than uneducated individuals and more committed to incorporate medical advice [30]. This result is supported by Study in Nepal [29], Turkey [20], and Australia [22].…”

Section: Discussionmentioning

confidence: 71%

Patient engagement in decision making and associated factors among outpatients with selected non-communicable chronic diseases in public hospitals of West Shoa, Ethiopia

Emana,

Kitaba,

Girma

et al. 2023

PLOS Glob Public Health

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Background Despite the importance of patient engagement in health care decision-making in the care of patients with chronic diseases, there is limited information about it and the factors affecting it in Ethiopia and in the Public Hospitals of West Shoa in particular. Thus, this study was designed to assess the engagement of patients with selected chronic non-communicable diseases in health care decision-making and associated factors in public hospitals of West Shoa Zone, Oromia, Ethiopia. Methods We used an institution -based cross-sectional study design. We used systematic sampling for the selection of study participants from June 7–July 26, 2020. Standardized, pretested, and structured Patient Activation Measure was used to measure patient engagement in healthcare decision-making. We did descriptive analysis to determine the magnitude of patient engagement in health care decision-making. Multivariate logistic regression analysis was used to determine factors associated with patients’ engagement in the health care decision-making process. Adjusted odds ratio with a 95% confidence interval was calculated to measure the strength of association. We declared statistical significance at p<0.05. we presented the results in tables and graphs. Results 406 patients with chronic diseases took part in the study, yielding a response rate of 96.2%. Less than a fifth [19.5% (95% CI: 15.5, 23.6)] of participants in the study area had a high engagement in their health care decision-making. Educational level (college or above) [AOR = 5.2, 95% CI (1.76–15.46)], duration of diagnosis >5 years [AOR = 1.8, 95% CI (1.03–3.2)], health literacy [AOR = 1.15, 95% CI (1.06–1.24)], autonomy preference in decision making [AOR = 1.35, 95% CI (1.03–1.96)] were factors significantly associated with participants’ engagement in health care decision making among patients with chronic diseases. Conclusion A high number of respondents had a low engagement in their health care decision-making. Preference for autonomy in decision making, educational level, health literacy, duration of diagnosis with the disease were factors associated with patient engagement in health care decision making among patients with chronic diseases in the study area. Thus, patients should be empowered to be involved in decision making to increase their engagement in the care.

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Section: Discussionmentioning

confidence: 71%

Patient engagement in decision making and associated factors among outpatients with selected non-communicable chronic diseases in public hospitals of West Shoa, Ethiopia

Emana,

Kitaba,

Girma

et al. 2023

PLOS Glob Public Health

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show abstract

“…We identified several self-management requirements from a literature review ( Figure 2 ). Education was considered to be critical as it reduces individual participation in the self-management of hypertension ( 27 ). Education is generally neglected in a healthcare setting due to the increasing demands on clinicians ( 28 , 29 ).…”

Section: Resultsmentioning

confidence: 99%

Design and development of a smartphone app for hypertension management: An intervention mapping approach

Lobo

Karmakar²,

Abdelrazek³

et al. 2023

Front. Public Health

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BackgroundSeveral research studies have demonstrated the potential of mobile health apps in supporting health management. However, the design and development process of these apps are rarely presented.ObjectiveWe present the design and development of a smartphone-based lifestyle app integrating a wearable device for hypertension management.MethodsWe used an intervention mapping approach for the development of theory- and evidence-based intervention in hypertension management. This consisted of six fundamental steps: needs assessment, matrices, theoretical methods and practical strategies, program design, adoption and implementation plan, and evaluation plan. To design the contents of the intervention, we performed a literature review to determine the preferences of people with hypertension (Step 1) and necessary objectives toward the promotion of self-management behaviors (Step 2). Based on these findings, we implemented theoretical and practical strategies in consultation with stakeholders and researchers (Steps 3), which was used to identify the functionality and develop an mHealth app (Step 4). The adoption (Step 5) and evaluation (Step 6) of the mHealth app will be conducted in a future study.ResultsThrough the needs analysis, we identified that people with hypertension preferred having education, medication or treatment adherence, lifestyle modification, alcohol and smoking cessation and blood pressure monitoring support. We utilized MoSCoW analysis to consider four key elements, i.e., education, medication or treatment adherence, lifestyle modification and blood pressure support based on past experiences, and its potential benefits in hypertension management. Theoretical models such as (i) the information, motivation, and behavior skills model, and (ii) the patient health engagement model was implemented in the intervention development to ensure positive engagement and health behavior. Our app provides health education to people with hypertension related to their condition, while utilizing wearable devices to promote lifestyle modification and blood pressure management. The app also contains a clinician portal with rules and medication lists titrated by the clinician to ensure treatment adherence, with regular push notifications to prompt behavioral change. In addition, the app data can be reviewed by patients and clinicians as needed.ConclusionsThis is the first study describing the design and development of an app that integrates a wearable blood pressure device and provides lifestyle support and hypertension management. Our theory-driven intervention for hypertension management is founded on the critical needs of people with hypertension to ensure treatment adherence and supports medication review and titration by clinicians. The intervention will be clinically evaluated in future studies to determine its effectiveness and usability.

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Classification of patients with chronic disease by activation level using machine learning methods

Demiray,

Gunes,

Kulak

et al. 2023

Health Care Manag Sci

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Factors associated with patient activation in a Turkish population with diabetes and/or hypertension

Cited by 4 publications

References 0 publications

Patient engagement in decision making and associated factors among outpatients with selected non-communicable chronic diseases in public hospitals of West Shoa, Ethiopia

Patient engagement in decision making and associated factors among outpatients with selected non-communicable chronic diseases in public hospitals of West Shoa, Ethiopia

Design and development of a smartphone app for hypertension management: An intervention mapping approach

Classification of patients with chronic disease by activation level using machine learning methods

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