Evidence map›Paper›PMID 37126378›Full record

Trial reportJournal of medical Internet research2023

The Synergistic Effect of Nurse Proactive Phone Calls With an mHealth App Program on Sustaining App Usage: 3-Arm Randomized Controlled Trial.

Arkers Kwan Ching Wong, Jonathan Bayuo, Frances Kam Yuet Wong, Karen Kit Sum Chow, Siu Man Wong, Avis Cheuk Ki Lau

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03878212 (Effects of mHealth on Promoting Self-care Health Management Among Older Adults in the Community), which is not on this map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
16.2field-weighted citation impact, top 1% of its field
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.

NCT03878212 nacompletednot on this map

Effects of mHealth on Promoting Self-care Health Management Among Older Adults in the Community: A 3-arm Randomized Controlled Trial

TypeinterventionalSponsorThe Hong Kong Polytechnic UniversityRan2020 to 2022Enrolled221ConditionsTelemedicineArmsmHealth application with interactivity, mHealth application
3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 4 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Arkers Kwan Ching WongSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong).ORCID 0000-0001-6708-3099
Jonathan BayuoSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong).ORCID 0000-0001-8437-2730
Frances Kam Yuet WongSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong).ORCID 0000-0002-9844-451X
Karen Kit Sum ChowThe Hong Kong Lutheran Social Service, Ho Man Tin, China (Hong Kong).ORCID 0000-0002-4838-7131
Siu Man WongThe Hong Kong Lutheran Social Service, Ho Man Tin, China (Hong Kong).ORCID 0000-0002-0135-2513
Avis Cheuk Ki LauSchool of Nursing, The Hong Kong Polytechnic University, Kowloon, China (Hong Kong).ORCID 0009-0005-0623-5729
Hong Kong Polytechnic University · HKThe Hong Kong Council of Social Service · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough mobile health application (mHealth app) programs have effectively promoted disease self-management behaviors in the last decade, usage rates have tended to fall over time.

objectiveWe used a case management approach led by a nurse and supported by a health-social partnership team with the aim of sustaining app usage among community-dwelling older adults and evaluated the outcome differences (i.e, self-efficacy, levels of depression, and total health service usages) between those who continued to use the app.

methodsThis was a 3-arm randomized controlled trial. A total of 221 older adults with hypertension, diabetes, or chronic pain were randomized into 3 groups: mHealth (n=71), mHealth with interactivity (mHealth+I; n=74), and the control (n=76). The mHealth application was given to the mHealth and mHealth+I groups. The mHealth+I group also received 8 proactive calls in 3 months from a nurse to encourage use of the app. The control group received no interventions. Data were collected at preintervention (T1), postintervention (T2), and at 3 months' postintervention (T3) to ascertain the sustained effect.

resultsA total of 37.8% of mHealth+I and 18.3% of mHealth group participants continued using the mHealth app at least twice per week until the end of the sixth month. The difference in app usage across the 2 groups between T2 and T3 was significant (χ

conclusionsThe relatively low rates of mHealth app usage at follow-up are comparable to those reported in the literature. More work is needed to merge the technology-driven and in-person aspects of mHealth.

trial registrationClinicalTrials.gov NCT03878212; https://clinicaltrials.gov/ct2/show/NCT03878212. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1159/000509129.

Indexed as

Diabetes MellitusMobile ApplicationsSelf-ManagementTelemedicineAgedHumansTelephoneadultsapplicationappsbehaviorcommunitydepressiondiabetesdiseasehypertensioninterventionmHealtholder adultsproactiveprogramself-efficacyself-managementtechnologyusage

Identifiers

PMID37126378
PMCPMC10186190
OpenAlexW4367601057

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.