Evidence map›Paper›PMID 34556976›Full record

ArticlePatient preference and adherence2021

Utilization of Health Applications Among Patients Diagnosed with Chronic Diseases in Jazan, Saudi Arabia During the COVID-19 Pandemic.

Ruwaym Alharbi, Alanood Qadri, Mashael Mahnashi, Alshomokh Hakami, Bushra Darraj, Jubran Shnaimer, Ibrahim Gosadi

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Article in Patient preference and adherence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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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

7 authors.

Ruwaym AlharbiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Alanood QadriFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Mashael MahnashiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Alshomokh HakamiFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Bushra DarrajFaculty of Medicine, Jazan University, Jazan, Saudi Arabia.
Jubran ShnaimerFamily Medicine Department, Jazan Health Affairs, Ministry of Health, Jazan, Saudi Arabia.ORCID 0000-0002-5474-6137
Ibrahim GosadiDepartment of Family and Community Medicine, Faculty of Medicine, Jazan University, Jazan, Saudi Arabia.ORCID 0000-0002-1275-3953

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth applications are employed to aid patients with chronic diseases in effective long-term disease management. This investigation aims to measure the utilization of health applications among patients diagnosed with chronic conditions during the COVID-19 pandemic.

methodsThis cross-sectional investigation was conducted in the Jazan region in Saudi Arabia between October 2020 and March 2021. Data were collected during interviews using a semi-structured questionnaire. The questionnaire collected items about the patients' demographics, morbidity, and use of electronic devices and health applications developed by the Saudi MoH. Logistic regression was used to assess factors associated with odds of reporting use of applications.

resultsA total of 658 patients were recruited. The mean age of the patients was 51 years, and 59% of them were females. The most frequently reported diagnosed condition was diabetes (53.5%), followed by hypertension (42.7%). Majority of the patients reported not using any health applications developed by the Saudi MoH (68.2%). Patients with higher educational levels and younger patients were more likely to report use of the applications (ORs: 4.2, 2.6 respectively). Comorbidity history and disease duration did not seem to influence the probability of reporting use of health applications (P-values >0.05).

conclusionPatients diagnosed with chronic diseases in Jazan had low utilization of health applications developed by the Saudi MoH. This indicates a need to encourage the use of these health applications, particularly among patients with chronic diseases and to consider use restriction among older patients with lower educational levels.

Indexed as

chronic diseasesCOVID-19diabeteshealth applicationshypertensionJazanSaudi Arabia

Identifiers

PMID34556976
PMCPMC8453435

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LicenceCC BY-NC
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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.