Evidence map›Paper›PMID 40205624›Full record

ArticleBMC research notes2025

Psychometric evaluation of the problem areas in diabetes (PAID) scale among people with type 2 diabetes in Ethiopia: a tool validation study.

Kalayou K Berhe, Lilian T Mselle, Haftu B Gebru

Abstract readValidation Study
In one paragraph

Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

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

  1. Pooled it
  2. Mapping the Problem Areas in Diabetes (PAID) and Diabetes Distress Scale (DDS) to the EQ-5D-5L in diabetes care.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  3. Article
  4. Article
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

3 authors.

Kalayou K BerheSchool of Nursing, College of Health Sciences, Mekelle University, Mekelle city, Tigray region, Ethiopia. Kalushaibex@gmail.com.
Lilian T MselleSchool of Nursing, Department of Clinical Nursing, Muhimbli University of Health and Allied Sciences, (MUHAS), Dar es Salaam, Tanzania.
Haftu B GebruSchool of Nursing, College of Health Sciences, Mekelle University, Mekelle city, Tigray region, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveto assesses the psychometric properties of the Problem Area in Diabetes (PAID) scale for Ethiopian patients with type 2 diabetes.

resultsThe confirmatory factor analysis for the Ethiopian Problem Area in Diabetes (Eth-PAID) scales demonstrated good model fit to the one, two, three, and four factor structures. The one-factor model Eth-PAID-20 scale showed acceptable internal consistency (α = 0.82), but the "Diabetes distress" subscale of two, three, and four-factor structures partially satisfied the internal consistency (ranged α = 0.74-77). The Eth-PAID-20 scale correlated negatively with self-care efficacy (r = 0.131, P = 0.06) and positively with Fasting Blood Sugar (FBS) level (r = 0.02, P = 0.86), which implies poor convergent validity. Moreover, "lack of confidence," "food-related problem," and "support-related problem" subclasses of two, three, and four-factor models showed very weak convergent validity. Discriminative validity revealed that female patients (30.16 ± 13.11), t = - 2.73, p = 0.007, d = 0.4) and patients who lived alone (28.05 ± 12.98), t = 2.542, p = 0.021, d = 0.5) had significantly higher distress scores in Eth-PAID-20 as one factor model.

Indexed as

Diabetes Mellitus, Type 2PsychometricsAdultAgedBlood GlucoseEthiopiaFactor Analysis, StatisticalFemaleHumansMaleMiddle AgedReproducibility of ResultsSelf CareSurveys and QuestionnairesBlood GlucoseDiabetesDistressProblem Aria in diabetes and EthiopiaPsychometricType 2

Identifiers

PMID40205624
PMCPMC11983946

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.