Evidence map›Paper›PMID 26158263›Full record

ArticleNPJ primary care respiratory medicine2015

Suggestions for health information technology trials for respiratory disorders in low- and middle-income country settings: what can we learn from trials in high-income country settings?

Niels H Chavannes, Robert S Du Puy, Chunxue Bai

Abstract read
In one paragraph

Article in NPJ primary care respiratory medicine, 2015. 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
–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. Mobile Health for Asthma.CHEST pulmonary · 2023
    Review
  2. Review
  3. Review
  4. Article
  5. 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

3 authors.

Niels H ChavannesLeiden University Medical Center, Department of Public Health and Primary Care, Leiden, Netherlands.
Robert S Du PuyLeiden University Medical Center, Department of Public Health and Primary Care, Leiden, Netherlands.
Chunxue BaiDepartment of Pulmonary Medicine, Fudan University Zhongshan Hospital, Shanghai Respiratory Research Institute, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health Information Technology (HIT) is sometimes seen as a silver bullet for human resource, medical and economic challenges facing health systems. The evidence supporting widespread use of HIT is, however, still patchy and inconsistent. In this Perspective piece, we seek to interpret and draw key lessons from a selection of illustrative trials in developed countries with robust health-care settings in respiratory medicine that failed to demonstrate effectiveness, and offer suggestions to maximise the chances of success in subsequent HIT deployments. Particularly low- and middle-income countries, with relatively weak health infrastructures and limited health care, propose considerable room for improvement. Early experiences of studying HIT thus far in high-income country settings suggest that this process should preferably begin with trials of low-cost, well-established technologies in patient groups with a moderate burden of disease while carefully evaluating patient safety.

Indexed as

Developed CountriesDeveloping CountriesMedical InformaticsPrimary Health CarePulmonary MedicineTelemedicineHumansRespiratory Tract Diseases

Identifiers

PMID26158263
PMCPMC4497314

What OpenQuestion holds

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LicenceCC BY
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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.