Evidence map›Paper›PMID 30220241›Full record

ArticlePsychiatric services (Washington, D.C.)2019

Delivering Collaborative Care in Rural Settings: Integrating Remote Teleconsultation and Local Supervision in Rural Nepal.

Sikhar Swar, Pragya Rimal, Bikash Gauchan, Duncan Maru, Yanjie Yang, Bibhav Acharya

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Psychiatric services (Washington, D.C.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. 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.

Sikhar SwarPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).
Pragya RimalPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).
Bikash GauchanPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).
Duncan MaruPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).
Yanjie YangPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).
Bibhav AcharyaPossible, Achham, Nepal (Swar, Rimal, Gauchan, Maru, Acharya); Department of Psychiatry, Kathmandu Medical College, Duwakot, Nepal (Swar); Department of Health Systems and Global Health, Icahn School of Medicine at Mt. Sinai, New York City (Maru); Department of Psychiatry, University of Calfornia, San Francisco (Acharya); Department of Medical Psychology, Public Health College, Harbin Medical University, Harbin, China (Yang).

Funding

Integrating Pediatric Care Delivery in Rural Healthcare SystemsDP5OD019894 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MARU, DUNCAN · 2014 to 2018
$1.8M
NIH HHS DP5 OD019894
6 · The paper itself

Abstract

The collaborative care model can deliver high-quality mental health care. In rural regions, clinical supervision is conducted remotely rather than in person. The authors implemented a remote teleconsultation model in rural Nepal, where the consulting psychiatrist is over 30 hours away. This column describes strategies for several challenges: poor mental health competencies and high turnover among primary care providers; need for urgent consultations; psychiatrist discomfort with lack of direct patient contact; unreliable electricity, technological tools, documentation, and delivery of treatment recommendations; on-site clinicians' low motivation to accept psychiatrist recommendations; and mismatch between the psychiatrist's recommendations and the site's capacity to implement them.

Indexed as

Remote ConsultationAttitude of Health PersonnelDelivery of Health Care, IntegratedHealth PersonnelHumansMental DisordersMental Health ServicesNepalPsychiatryRural HealthRural Health ServicesComputer technologyForeign psychiatryInterdisciplinary issuesService delivery systems

Identifiers

PMID30220241
PMCPMC7718719

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.