ArticleJournal of diabetes research2023
The Effect of a Patient Activation Tailored Intervention on Type 2 Diabetes Self-Management and Clinical Outcomes: A Study from Saudi Arabian Primary Care Settings.
Article in Journal of diabetes research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Pooled it
- Patient Activation and Diabetes Outcomes Among Jordanian Patients With Type 2 Diabetes: Longitudinal Evidence on Adherence and Glycemic Control With Linear Mixed Model Analysis.Research in nursing & health · 2026Article
- Patient Activation, Patient-Physician Communication Quality, and Cancer-Related Fatigue: A Longitudinal Study of Cancer Survivors.Psycho-oncology · 2026Observational
- Article
- Improving Clinical Patient Activation and Strengthening Health Outcomes: Findings from a Quasi-Experimental Study.Journal of clinical medicine · 2025Article
- Article
- Factors impacting chronic disease medication adherence in the UAE: a prospective cohort study, 2021-2022.Journal of comparative effectiveness research · 2025Article
- Patient-centered care in diabetes care-concepts, relationships and practice.World journal of diabetes · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Type 2 diabetes mellitus (T2DM) is a global public health challenge. T2DM self-management, including diet, physical activity, blood glucose self-monitoring, foot care, and adherence to medication, is considered a primary tool for managing diabetes. Patient activation, an individual's knowledge, skill, and confidence in managing their health and healthcare, was recognized to be associated with better T2DM self-management and clinical outcomes. Patient activation intervention has been described as a potential approach for enhancing chronic disease self-management. This study is aimed at examining the effect of a patient activation-tailored intervention on T2DM self-management and clinical outcomes in primary care settings in Saudi Arabia. Method: A pre- and postintervention study was conducted among ≥18 years old T2DM patients attending primary healthcare centers in Saudi Arabia. Collected data included demographics, clinical data, the Patient Activation Measure (PAM), the Summary of Diabetes Self-Care Activities (SDSCA), the diabetes knowledge test (DKT2), the problem area in diabetes test (PAID-5), and the diabetes quality of life test (DQOL). The intervention was tailored based on the participants' patient activation level. The intervention consisted of monthly face-to-face sessions for three months and a telephone follow-up per month for three months postintervention. Descriptive statistics, a paired sample Results: A total of 82 patients, mostly female (61%) with a mean age of 51.3 ± 9.9 years old, completed baseline and postintervention surveys. After six months of intervention, there was a significant change in patient activation score from 54.74 to 61.58 ( Conclusion: Our findings suggested that tailoring interventions based on patients' activation levels is more likely to yield promising T2DM self-management and clinical outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.