Evidence map›Paper›PMID 21565655›Full record

ArticleAmerican journal of preventive medicine2011

A preliminary study of a cloud-computing model for chronic illness self-care support in an underdeveloped country.

John D Piette, Milton O Mendoza-Avelares, Martha Ganser, Muhima Mohamed, Nicolle Marinec, Sheila Krishnan

Abstract read
In one paragraph

Article in American journal of preventive medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
17.8field-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.

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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Pooled it
  2. Theories Applied to m-Health Interventions for Behavior Change in Low- and Middle-Income Countries: A Systematic Review.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2018
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Structured Caregiver Feedback Enhances Engagement and Impact of Mobile Health Support: A Randomized Trial in a Lower-Middle-Income Country.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2016
    Trial
  6. Trial
  7. Hypertension management using mobile technology and home blood pressure monitoring: results of a randomized trial in two low/middle-income countries.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2012
    Trial
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  16. [CYTED-RITMOS network: toward the search for solutions to promote mobile health in Latin America].Revista panamericana de salud publica = Pan American journal of public health · 2017
    Article
  17. Article
  18. Article
  19. Article
  20. A scoping review of cloud computing in healthcare.BMC medical informatics and decision making · 2015
    Article
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 3 institutions in 2 countries.

John D PietteAnn Arbor VA Healthcare System, University of Michigan, Ann Arbor, MI 48113, USA. jpiette@umich.edu
Milton O Mendoza-Avelares
Martha Ganser
Muhima Mohamed
Nicolle Marinec
Sheila Krishnan
University of Michigan–Ann Arbor · USHonduras Foundation for Agricultural Research · HNVA Ann Arbor Healthcare System · US

Funding

MICHIGAN INSTITUTE FOR CLINICAL AND HEALTH RESEARCH (MICHR) (UL1): (BPCA)UL1RR024986 · NCRR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI SHANLEY, THOMAS P. · 2007 to 2011
$51.2M
PUBLIC HEALTH DEMONSTRATIONP60DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MYERS, MARTIN G · 1985 to 2012
$26.5M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
NCRR NIH HHS UL1 RR024986NCRR NIH HHS UL1RR024986NIDDK NIH HHS DK020572NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P60 DK020572
6 · The paper itself

Abstract

backgroundAlthough interactive voice response (IVR) calls can be an effective tool for chronic disease management, many regions of the world lack the infrastructure to provide these services. PURPOSE: This study evaluated the feasibility and potential impact of an IVR program using a cloud-computing model to improve diabetes management in Honduras.

methodsA single-group, pre-post study was conducted between June and August 2010. The telecommunications infrastructure was maintained on a U.S. server, and calls were directed to patients' cell phones using VoIP. Eighty-five diabetes patients in Honduras received weekly IVR disease management calls for 6 weeks, with automated follow-up e-mails to clinicians, and voicemail reports to family caregivers. Patients completed interviews at enrollment and a 6-week follow-up. Other measures included patients' glycemic control (HbA1c) and data from the IVR calling system.

resultsA total of 53% of participants completed at least half of their IVR calls and 23% of participants completed 80% or more. Higher baseline blood pressures, greater diabetes burden, greater distance from the clinic, and better medication adherence were related to higher call completion rates. Nearly all participants (98%) reported that because of the program, they improved in aspects of diabetes management such as glycemic control (56%) or foot care (89%). Mean HbA1c's decreased from 10.0% at baseline to 8.9% at follow-up (p<0.01). Most participants (92%) said that if the service were available in their clinic they would use it again.

conclusionsCloud computing is a feasible strategy for providing IVR services globally. IVR self-care support may improve self-care and glycemic control for patients in underdeveloped countries.

Indexed as

Cell PhoneUser-Computer InterfaceAdultAgedBlood GlucoseChronic DiseaseDeveloping CountriesDiabetes MellitusFeasibility StudiesFemaleFollow-Up StudiesGlycated HemoglobinHondurasHumansMaleMedication AdherenceBlood GlucoseGlycated Hemoglobin

Identifiers

PMID21565655
PMCPMC3816581
OpenAlexW2147782465

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.