Evidence map›Paper›PMID 37546003›Full record

ArticleJournal of education and health promotion2023

Development and validation of "Knowledge on screening and identification of mental illness (KSIM) questionnaire" among primary care nurses in India.

James Paul, Radhakrishnan Govindan, Monika Thakur, Narayana Manjunatha

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Article in Journal of education and health promotion, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

James PaulDepartment of Nursing, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Radhakrishnan GovindanDepartment of Nursing, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Monika ThakurPsychiatry, TORENT Project, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.
Narayana ManjunathaDepartment of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs stated in the World Health Organization's Mental Health Report 2022, 13%, or almost a billion people, had a mental health issue, and 82% of these people resided in low- and middle-income countries with limited access to mental health treatments. Successful integration of mental health services into primary healthcare depends on primary healthcare providers receiving the proper training and information required to provide basic mental health care in the community. Primary care nurses generally lack the confidence and skills to handle mental health issues while being in an excellent position to screen, identify, refer, and follow-up on a person with mental illness (PMI). The study aimed to develop and validate the KSIM questionnaire to assess the knowledge of primary care nurses in screening, identifying, referral, and follow-up persons with mental health issues in the community. MATERIALS AND

methodsThe study was conducted based on a sequential exploratory design in two phases: the development and the validation phases. An extensive literature search was done, and the themes derived from the two focus group discussion (FGD) and three direct interviews, and the inputs from the mental health experts were used to design the KSIM questionnaire. A panel of 17 experts validated the KSIM questionnaire through item-level content validity index (I-CVI) and scale-level CVI (S-CVI) for content validation, and the reliability test was done using the intraclass correlation coefficient ICC test-retest method.

resultsThe draft version-1 of the KSIM questionnaire showed high content validity of individual items (I-CVI range: 0.82-1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The KSIM questionnaire consists of 30 multiple choice questions and 10 case vignettes. The KSIM questionnaire has a very good test-retest reliability using the single measure two-way mixed absolute agreement ICC value 0.97 with 95% CI.

conclusionsUsing an iterative approach, the development and validation of the KSIM questionnaire demonstrated high I-CVI and S-CVI with good ICC test-retest reliability to assess the knowledge of primary care nurses on screening and identification, referral and follow-up of a PMI in the community. Primary care nurses' knowledge on how to screen for and identify people with mental health issues in the primary care setting can be evaluated with the help of the KSIM questionnaire, and providing need-based training may help to reduce the time taken for people with mental illness to receive professional help.

Indexed as

Knowledge questionnairemental illnessprimary care nursesvalidation

Identifiers

PMID37546003
PMCPMC10402797

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LicenceCC BY-NC-SA
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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.