ArticleBMC geriatrics2020
Psychometric properties of the Iranian version of self-care ability scale for the elderly.
Article in BMC geriatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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
6 citing papers in PubMed, 9 citations in OpenAlex.
- Effectiveness of an informal home care support intervention program to reduce loneliness and improve quality of life among lonely community-dwelling older adults: a feasibility study.Korean journal of family medicine · 2025Article
- Instruments for Assessing Patient Independence in Self-Care: A Scoping Review.Journal of multidisciplinary healthcare · 2025Review
- Article
- Happiness, sleep quality, and self-care ability among community-dwelling older adults in Tehran, 2023.BMC geriatrics · 2024Article
- Technology-based interventions for health challenges older women face amid COVID-19: a systematic review protocol.Systematic reviews · 2022Article
- Translation, Cross-cultural Adaptation, and Psychometric Properties of the Turkish Version of the Self-care Ability Scale for the Elderly.Annals of geriatric medicine and research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 2 countries.
Funding
Abstract
backgroundMeasuring self-care ability in elderly people needs specific instruments. The Self-care Ability Scale for Elderly (SASE) is one of the common instruments used for assessing self-care ability. The aim of this study was to assess the psychometric properties of the SASE among Iranian elderly population.
methodsThis cross-cultural adaptation study was carried out at Shahid Chamran and Shadpour Health Complex in Tabriz, Iran. The forward-backward procedure was applied to translate the SASE from English into Persian. Then, it was completed to 220 elderly people. A systematic random sampling method was used for sampling. Content validity was calculated through modified Kappa coefficient (modified CVI) based on clarity and relevance criteria. Reliability was measured by internal consistency and test-retest analysis. The construct validity also was assessed using Exploratory Factor Analysis (EFA). All the statistical analyses were performed using SPSS 21 statistical software package.
resultsThe mean of self-care ability was 61.14 ± 21.08. The CVI and modified kappa were 0.91 and 0.92 for relevance and clarity, respectively. The Cronbach's alpha coefficient was 0.73 and Intra-class correlation coefficient was 0.97. The results of EFA revealed a three-factor solution ('ability to take care of personal responsibility', 'ability to take care for the goals', and 'ability to take care of the health') that jointly explained for 64.61% of the total variance.
conclusionResults of the study showed that the Iranian version of the SASE has good psychometric properties and can be used in assessing the self-care ability of elderly people.
Indexed as
Identifiers
What OpenQuestion holds
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.