Evidence map›Paper›PMID 40489012›Full record

ReviewInternational journal of clinical pharmacy2025

Self-care and self-management in diabetes: concepts, theories and practices.

Saranya Puzhakkal, Sallianne Kavanagh, Barbara Conway, Chia Siang Kow, Syed Shahzad Hasan

Abstract readReview
In one paragraph

Review in International journal of clinical pharmacy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

5 authors.

Saranya PuzhakkalDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Sallianne KavanaghDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Barbara ConwayDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Chia Siang KowDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK.
Syed Shahzad HasanDepartment of Pharmacy, School of Applied Sciences, University of Huddersfield, Huddersfield, HD1 3DH, UK. s.hasan@hud.ac.uk.ORCID http://orcid.org/0000-0002-4058-2215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus is a progressive disorder that requires the active participation of individuals with diabetes to improve management and delay the onset of acute and chronic complications. Effective diabetes care necessitates a multifaceted approach involving insulin therapy, non-insulin anti-diabetic drugs and lifestyle adjustments. Self-management and self-care are integral, yet distinct, components of diabetes care. While both play a pivotal role in optimising diabetes care, their distinctions and similarities are often misunderstood. These terms are frequently used interchangeably. Although some activities are unique to each concept, inconsistencies exist in the published literature. Self-management refers to patient behaviours guided by healthcare professionals, whereas self-care encompasses autonomous actions patients take to maintain health and prevent complications. Both concepts involve activities that foster long-term collaboration between patients and healthcare professionals.

Indexed as

Diabetes MellitusSelf CareSelf-ManagementHumansHypoglycemic AgentsHypoglycemic AgentsDiabetesSelf-careSelf-managementType 2 diabetes

Identifiers

PMID40489012
PMCPMC12630217

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.