Evidence map›Paper›PMID 34513568›Full record

ArticleJournal of psychosocial rehabilitation and mental health2022

Use of Technology to Facilitate Performance of Activities of Daily Living in Persons Availing Psychiatric Rehabilitation Services During Covid-19 Pandemic.

Annie P John, Sailaxmi Gandhi, M Manjula, M Krishna Prasad

Abstract read
In one paragraph

Article in Journal of psychosocial rehabilitation and mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Annie P JohnDepartment of Nursing, NIMHANS (INI), Hosur Road, Bengaluru, Karnataka India.ORCID https://orcid.org/0000-0002-0036-220X
Sailaxmi GandhiDepartment of Nursing, NIMHANS (INI), Hosur Road, Bengaluru, Karnataka India.ORCID https://orcid.org/0000-0002-2414-0003
M ManjulaDepartment of Clinical Psychology, NIMHANS (INI), Hosur Road, Bengaluru, Karnataka India.ORCID https://orcid.org/0000-0003-0484-6284
M Krishna PrasadDepartment of Psychiatry, NIMHANS (INI), Hosur Road, Bengaluru, Karnataka India.ORCID https://orcid.org/0000-0002-2580-9581

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global health crisis caused by the coronavirus pandemic (COVID-19) has brought about previously unimaginable changes to all of health care, including the field of psychiatric rehabilitation. During the pandemic, many issues pertaining to the people with SMI(Severe Mental Illness) was addressed, however, we have not found any studies exploring the impact of pandemic on Activities of daily living. Here we discuss two case reports to furnish the first -hand experience on how online sessions have helped patients to improve their Instrumental Activities of Daily Living (IADL), a component of Activities of Daily Living (ADL). Though the pandemic had an impact on IADL initially in both the patients, with technology facilitated psychiatric rehabilitation both patients improved in areas of managing household chores, cooking, concentration and memory as reported by their caregivers. Family involvement in care and bonding also increased. Online sessions facilitated persons with mental illness to engage in daily activities, created an interest in them to attend the sessions and to translate them in real-time world and increased the involvement of caregivers in training them.

Indexed as

Activities of Daily LivingPandemicPersons availing psychiatric rehabilitation servicesSevere mental illness

Identifiers

PMID34513568
PMCPMC8417614

What OpenQuestion holds

Textmetadata
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Registered trials

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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.