Evidence map›Paper›PMID 31531929›Full record

Trial reportInternational journal of nursing practice2019

Feasibility study of automated interactive voice response telephone calls with community health nurse follow-up to improve glycaemic control in patients with type 2 diabetes.

Panan Pichayapinyo, Laura R Saslow, James E Aikens, Nicolle Marinec, Jutatip Sillabutra, Piyamon Rattanapongsai, John D Piette

Abstract readClinical Trial
In one paragraph

Trial report in International journal of nursing practice, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 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

12 citing papers in PubMed, 4 syntheses or guidelines 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

7 authors.

Panan PichayapinyoFaculty of Public Health, Mahidol University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-5320-5291
Laura R SaslowSchool of Nursing, University of Michigan, Ann Arbor, Michigan.
James E AikensDepartment of Family Medicine, University of Michigan, Ann Arbor, Michigan.
Nicolle MarinecCenter for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.
Jutatip SillabutraFaculty of Public Health, Mahidol University, Bangkok, Thailand.
Piyamon RattanapongsaiNon-communicable disease clinic, Health Promoting Hospital, Pathumthani Province, Thailand.
John D PietteCenter for Clinical Management Research, VA Ann Arbor Health Care System, Ann Arbor, Michigan.

Funding

Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Strengthening Nurse NCD Research and Training Capacity in ThailandD43TW009883 · FIC · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Erin M Kahle, Kathleen Marie Potempa · 2014 to 2026
$3.0M
FIC NIH HHS D43 TW009883NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926NIDDK NIH HHS P30DK092926US National Institute of Nursing
6 · The paper itself

Abstract

backgroundThailand has a shortage of community health nurses for supporting the self-management of type 2 diabetes, which is prevalent and poorly controlled.

aimThis study examined the feasibility and acceptability of a self-care assistance programme for poorly controlled type 2 diabetes mellitus. The SukapapNet programme consisted of automated interactive voice response calls to patients and automated follow-up email notifications to their nurses.

designSingle-arm pre-post trial.

methodsSix nurses and 35 type 2 diabetes patients were recruited from primary care settings in suburban provinces in Thailand. The study was conducted from June 2017 to November 2017. We assessed patients before and after 12 weeks of the SukapapNet intervention.

resultsMean glycated haemoglobin decreased by 0.9%. Patients reported reduced carbohydrate consumption, increased physical activity, increased medication adherence, improved sleep quality, and more frequent foot care. Patients and nurses both recommended using the intervention, although nurses expressed concerns regarding increased workload.

conclusionsThe study programme could improve outcomes in Thai type 2 diabetes patients. Further study of the impact of technology upon nurses' workload is warranted.

Indexed as

Nurses, Community HealthSelf-ManagementTelemedicineDiabetes Mellitus, Type 2Dietary CarbohydratesExerciseFeasibility StudiesFemaleGlycated HemoglobinHumansMaleMedication AdherenceMiddle AgedSleepTelephoneThailandDietary CarbohydratesGlycated Hemoglobincommunityglycated haemoglobinmobile healthnursetype 2 diabetes

Identifiers

PMID31531929
PMCPMC6898746

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.