Evidence map›Paper›PMID 35769337›Full record

ArticlePatient preference and adherence2022

Willingness to Receive mHealth Messages Among Diabetic Patients at Mizan Tepi University Teaching Hospital: Implications for Digital Health.

Biruk Bogale, Aklilu Habte, Dereje Haile, Mirresa Guteta, Nuredin Mohammed, Mathewos Alemu Gebremichael

Abstract read
In one paragraph

Article in Patient preference and adherence, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

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

5 citing papers in PubMed, 1 synthesis or guideline 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

6 authors.

Biruk BogaleSchool of Public Health, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan-Aman, Ethiopia.ORCID 0000-0001-5449-9378
Aklilu HabteDepartment of Reproductive Health, School of Public Health, College of Medicine and Health Sciences, Wachemo University, Hosanna, Ethiopia.
Dereje HaileDepartment of Reproductive Health and Nutrition, School of Public Health, College of Medicine and Health Sciences, Wolaita Sodo University, Sodo, Ethiopia.ORCID 0000-0003-1005-7337
Mirresa GutetaDepartment of Nursing, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.ORCID 0000-0003-1624-6550
Nuredin MohammedDepartment of Nursing, College of Medicine and Health Sciences, Mizan-Tepi University, Mizan Aman, Ethiopia.
Mathewos Alemu GebremichaelDepartment of Epidemiology and Biostatistics, School of Public Health, College of Medicine and Health Sciences, Arba Minch University, Arba Minch, Ethiopia.ORCID 0000-0003-3652-9013

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The growing access and use of mobile technology provide new tools for diabetic care and management. Mobile-based technology (mHealth) is considered as a useful tool to deliver healthcare services as a makeshift alternative for consultations and follow-up of diabetic patients. Therefore, this study aimed to scrutinize the willingness to receive mHealth messages and its associated factors among diabetic patients at Mizan Tepi University Teaching Hospital (MTUTH). Methods: A cross-sectional study was conducted among two hundred thirty-three diabetic patients. Data were collected using a structured and pre-tested interviewer-administered questionnaire. Epidata manager and SPSS software were used to enter and analyze the data, respectively. Multivariable logistic regression analysis was carried out to identify the independent factors associated with patients' willingness to receive mHealth messages. Results: Two hundred and thirty-three patients participated in this study with a 95% response rate. Majority of the patients (213, 91.4%) had a mobile phone. Among those who had mobile phones, 59.1%, (95% CI: 48-64) of patients were willing to receive mHealth messages from providers, if they were offered the opportunity. In the multivariable binary logistic regression analysis, monthly income >3000 ETB (AOR = 2.43; 95% CI (1.36-3.81)), owning smartphone (AOR = 3.85; 95% CI (1.67-4.89)), internet access in their mobile phone (AOR = 2.74; 95% CI (1.42-4.61)), perceived usefulness (AOR = 4.66; 95% CI (2.38-6.83)) and perceived ease to use (AOR = 3.87; 95% CI (1.57-5.46)) were identified as significant factors associated with diabetic patients' willingness to receive mHealth messages. Conclusion: A high proportion of patients who had mobile phones were willing to receive mHealth messages. Monthly income, type of mobile phone, access to the internet on the mobile phone, perceived ease of use, and perceived usefulness were associated with willingness to receive mHealth messages. Therefore, focusing on these factors could provide insight for designing and implementing mHealth messages for diabetic patients.

Indexed as

diabetic patientsmHealthwillingness

Identifiers

PMID35769337
PMCPMC9234188

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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.