Evidence map›Paper›PMID 35314016›Full record

ArticlePrimary health care research & development2022

Achieving the potential of mHealth in medicine requires challenging the ethos of care delivery.

John P Ratanawong, John A Naslund, Jude P Mikal, Stuart W Grande

Abstract read
In one paragraph

Article in Primary health care research & development, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. 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

4 authors.

John P RatanawongUniversity of Minnesota, School of Public Health, Division of Health Policy and Management, Minneapolis, MN, USA.
John A NaslundHarvard Medical School, Department of Global Health and Social Medicine, Boston, MA, USA.
Jude P MikalUniversity of Minnesota, School of Public Health, Division of Health Policy and Management, Minneapolis, MN, USA.
Stuart W GrandeUniversity of Minnesota, School of Public Health, Division of Health Policy and Management, Minneapolis, MN, USA.ORCID 0000-0002-6796-7991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mobile Health (mHealth) interventions have received a mix of praise and excitement, as well as caution and even opposition over recent decades. While the rapid adoption of mHealth solutions due to the COVID-19 pandemic has weakened resistance to integrating these digital approaches into practice and generated renewed interest, the increased reliance on mHealth signals a need for optimizing development and implementation. Despite an historically innovation-resistant medical ethos, mHealth is becoming a normalized supplement to clinical practice, highlighting increased demand. Reaching the full potential of mHealth requires new thinking and investment. The current challenge to broaden mHealth adoption and to ensure equity in access may be overcoming a "design purgatory," where innovation fails to connect to practice. We recommend leveraging the opportunity presented by the COVID-19 pandemic to disrupt routine practice and with a new focus on theory-driven replicability of mHealth tools and strategies aimed at medical education and professional organizations.

Indexed as

COVID-19TelemedicineDelivery of Health CareHumansPandemicsimplementationinnovation culturemedical ethosmHealthmobile health applications

Identifiers

PMID35314016
PMCPMC8991074

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.