Evidence map›Paper›PMID 39834514›Full record

ArticleJournal of multidisciplinary healthcare2025

Effects of the Stanford Chronic Conditions Model on Behavioral and Clinical Indicators in Saudi Arabia: A Prospective Quasi-Experimental Study.

Ghareeb Bahari, Ali Kerari, Ahmed Alsadoun, Muhanna Alnassar

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Ghareeb BahariNursing Administration and Education Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-3949-3650
Ali KerariNursing Administration and Education Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0003-1998-5367
Ahmed AlsadounMedical Surgical Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0002-6220-1954
Muhanna AlnassarMedical Surgical Department, College of Nursing, King Saud University, Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the 6-month impact of the Chronic Disease Self-Management Program based on the Stanford chronic condition model on behavioral and clinical indicators in individuals with chronic illnesses. Patients and Methods: This prospective, quasi-experimental study was conducted in primary healthcare centers located in Riyadh, Saudi Arabia. A total of 110 adults aged 18 years or older, living with at least one chronic disease, and receiving treatment at a primary healthcare center were included. We compared patients who received the Chronic Disease Self-Management Program with those who received the usual care from primary healthcare centers. Data analysis included analysis of descriptive and covariance statistics. Results: The analysis of covariance indicated that individuals who received the Chronic Disease Self-Management Program had significantly lower systolic (F=5.60, p<0.05) and diastolic blood pressure (F=7.60, p<0.01). These patients were more likely to adopt healthy behaviors to manage their chronic illnesses (F=11.17, p<0.01). However, no significant differences were observed in the HbA1c values of the patients. Conclusion: We recommend incorporating the Stanford Chronic Disease Self-Management Program into patient education to foster peer support for effective chronic disease management.

Indexed as

blood glucoseblood pressurechronic diseasehealth personnelhealth status indicators

Identifiers

PMID39834514
PMCPMC11745170

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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.