Evidence map›Paper›PMID 31548765›Full record

ArticleIndian journal of psychological medicine

Mobile Phones as a Medium of Mental Health Care Service Delivery: Perspectives and Barriers among Patients with Severe Mental Illness.

Gopika Sreejith, Vikas Menon

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Article in Indian journal of psychological medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. Connected Mental Health: Systematic Mapping Study.Journal of medical Internet research · 2020
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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

2 authors.

Gopika Sreejith3 year MBBS Student, Jawaharlal Institute of Post Graduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.
Vikas MenonDepartment of Psychiatry, Jawaharlal Institute of Post Graduate Medical Education and Research, Dhanvantri Nagar, Puducherry, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of mobile phone technology to support various components of health care delivery (often referred to as mHealth) is on the rise. Little systematic information, however, is available on user felt needs and barriers to mHealth approaches among people with severe mental illness (SMI). Our objectives were to elicit user needs, preferences, and barriers to using mobile phones for health care service delivery among people with SMI. MATERIALS AND

methodsA cross-sectional study was carried out among 75 subjects with SMI between August 2017 and October 2017. All patients had a minimum illness duration of two years or more and a Global Assessment of Functioning score of less than 70. Information on user perspectives was elicited using a 10-item structured questionnaire, to assess mobile phone usage patterns, felt needs, barriers, and preferences, developed for use in patients with SMI.

resultsMajority of the patients reported using mobile phones and were favorably disposed to mHealth approaches. Voice calls (

conclusionThese findings support the use of mHealth approaches in resource-constrained settings and provide specific inputs to refine the modalities of mHealth service delivery.

Indexed as

Bipolar disordersmHealthmobile phoneMobile phone based approaches can be used to facilitate mental health care service delivery for patients with severe mental illness in our country. Twice-weekly voice calls appear to be the most preferred frequency and mode of service delivery, whereas reminders about medication and appointments were the most common felt need in this population.psychiatryschizophreniatelemedicine

Identifiers

PMID31548765
PMCPMC6753712

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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.