SynthesisPrimary health care research & development2018
Relevant patient characteristics for guiding tailored integrated diabetes primary care: a systematic review.
Synthesis in Primary health care research & development, 2018. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Diabetes care components effectively implemented in the ASEAN health systems: an umbrella review of systematic reviews.BMJ open · 2023Pooled it
- HbA1c as a shared treatment goal in type 2 diabetes? A secondary analysis of the DEBATE trial.BMC primary care · 2023Trial
- The association between the BRI and all-cause and cardiovascular mortality in COPD patients.BMC pulmonary medicine · 2025Article
- E3 ligases: a ubiquitous link between DNA repair, DNA replication and human disease.The Biochemical journal · 2024Review
- Experiences with tailoring of primary diabetes care in well-organised general practices: a mixed-methods study.BMC health services research · 2021Article
- Community Outreach for Navajo People Living with Diabetes: Who Benefits Most?Preventing chronic disease · 2020Article
- Relevant patient characteristics for estimating healthcare needs according to healthcare providers and people with type 2 diabetes: a Delphi survey.BMC health services research · 2019Article
- Disentangling Population Health Management Initiatives in Diabetes Care: A Scoping Review.International journal of integrated careArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
AimTo identify which patient-related effect modifiers influence the outcomes of integrated care programs for type 2 diabetes in primary care.
backgroundIntegrated care is a widespread management strategy for the treatment of type 2 diabetes. However, most integrated care programs are not tailored to patients' needs, preferences and abilities. There is increasing consensus that such a patient-centered approach could improve the management of type 2 diabetes. Thus far, it remains unclear which patient-related effect modifiers should guide such an approach.
methodsPubMed, CINAHL and EMBASE were searched for empirical studies published after 1998. A systematic literature review was conducted according to the PRISMA guidelines.FindingsIn total, 23 out of 1015 studies were included. A total of 21 studies measured the effects of integrated diabetes care programs on hemoglobin A1c (HbA1c) and three on low-density lipoprotein cholesterol, systolic blood pressure and health-care utilization. In total, 49 patient characteristics were assessed as potential effect modifiers with HbA1c as an outcome, of which 46 were person or health-related and only three were context-related. Younger age, insulin therapy and longer disease duration were associated with higher HbA1c levels in cross-sectional and longitudinal studies. Higher baseline HbA1c was associated with higher HbA1c at follow-up in longitudinal studies. Information on context- and person-related characteristics was limited, but is necessary to help identify the care needs of individual patients and implement an effective integrated type 2 diabetes tailored care program.
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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.