Development and validation of clinical schedule for primary care psychiatric nursing (CSP-N) for primary care nurses

Introduction: As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into pri...

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Published inIndian journal of community medicine Vol. 48; no. 3; pp. 443 - 452
Main Authors Paul, James, Govindan, Radhakrishnan, Manjunatha, Narayana, Kumar, Channaveerachari, Math, Suresh
Format Journal Article
LanguageEnglish
Published India Wolters Kluwer India Pvt. Ltd 01.07.2023
Medknow Publications and Media Pvt. Ltd
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Abstract Introduction: As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into primary health care, proper training and education of primary care professionals are mandatory. Primary care nurses are in an excellent position to screen, identify, dual collaboration for treatment planning/referral, and follow-up of persons with mental illness (PMI), but they often lack the confidence and competence to tackle mental health problems. The study aimed to develop and validate the clinical schedule for primary care psychiatric nursing (CSP-N). Materials and Methods: It is conducted in two phases: the development and validation phases. An extensive literature search has been conducted, and the ten themes derived from the two-focused group discussions and three-direct one-to-one interviews and input from mental health experts were used to design the CSP-N. The CSP-N was checked for content validity by a panel of 17 experts using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI). Results: The draft version 1 of the CSP-N showed high content validity for individual items (I-CVI range: 0.82 to 1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The CSP-N was developed in four modules. The single-measure two-way mixed absolute agreement ICC value was calculated (for 32 subjects) for the reliability test, and the ICC value was 0.97 with a 95% CI (0.94, 0.99). Conclusions: Using an iterative approach, the development and validation of the CSP-N demonstrated high I-CVI and S-CVI for screening and identification, dual collaboration for the treatment plan, referral, and follow-up of a person with mental illness by the nurses in the community.
AbstractList Introduction: As per the World Health Organization’s mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into primary health care, proper training and education of primary care professionals are mandatory. Primary care nurses are in an excellent position to screen, identify, dual collaboration for treatment planning/referral, and follow-up of persons with mental illness (PMI), but they often lack the confidence and competence to tackle mental health problems. The study aimed to develop and validate the clinical schedule for primary care psychiatric nursing (CSP-N). Materials and Methods: It is conducted in two phases: the development and validation phases. An extensive literature search has been conducted, and the ten themes derived from the two-focused group discussions and three-direct one-to-one interviews and input from mental health experts were used to design the CSP-N. The CSP-N was checked for content validity by a panel of 17 experts using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI). Results: The draft version 1 of the CSP-N showed high content validity for individual items (I-CVI range: 0.82 to 1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The CSP-N was developed in four modules. The single-measure two-way mixed absolute agreement ICC value was calculated (for 32 subjects) for the reliability test, and the ICC value was 0.97 with a 95% CI (0.94, 0.99). Conclusions: Using an iterative approach, the development and validation of the CSP-N demonstrated high I-CVI and S-CVI for screening and identification, dual collaboration for the treatment plan, referral, and follow-up of a person with mental illness by the nurses in the community.
As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into primary health care, proper training and education of primary care professionals are mandatory. Primary care nurses are in an excellent position to screen, identify, dual collaboration for treatment planning/referral, and follow-up of persons with mental illness (PMI), but they often lack the confidence and competence to tackle mental health problems. The study aimed to develop and validate the clinical schedule for primary care psychiatric nursing (CSP-N). It is conducted in two phases: the development and validation phases. An extensive literature search has been conducted, and the ten themes derived from the two-focused group discussions and three-direct one-to-one interviews and input from mental health experts were used to design the CSP-N. The CSP-N was checked for content validity by a panel of 17 experts using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI). The draft version 1 of the CSP-N showed high content validity for individual items (I-CVI range: 0.82 to 1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The CSP-N was developed in four modules. The single-measure two-way mixed absolute agreement ICC value was calculated (for 32 subjects) for the reliability test, and the ICC value was 0.97 with a 95% CI (0.94, 0.99). Using an iterative approach, the development and validation of the CSP-N demonstrated high I-CVI and S-CVI for screening and identification, dual collaboration for the treatment plan, referral, and follow-up of a person with mental illness by the nurses in the community.
IntroductionAs per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and middle-income countries where mental health services are largely absent. For the successful integration of mental health into primary health care, proper training and education of primary care professionals are mandatory. Primary care nurses are in an excellent position to screen, identify, dual collaboration for treatment planning/referral, and follow-up of persons with mental illness (PMI), but they often lack the confidence and competence to tackle mental health problems. The study aimed to develop and validate the clinical schedule for primary care psychiatric nursing (CSP-N).Materials and MethodsIt is conducted in two phases: the development and validation phases. An extensive literature search has been conducted, and the ten themes derived from the two-focused group discussions and three-direct one-to-one interviews and input from mental health experts were used to design the CSP-N. The CSP-N was checked for content validity by a panel of 17 experts using the item-level content validity index (I-CVI) and the scale-level content validity index (S-CVI).ResultsThe draft version 1 of the CSP-N showed high content validity for individual items (I-CVI range: 0.82 to 1.00) and high overall content validity (S-CVI = 0.95), and suggestions from the experts were incorporated. The CSP-N was developed in four modules. The single-measure two-way mixed absolute agreement ICC value was calculated (for 32 subjects) for the reliability test, and the ICC value was 0.97 with a 95% CI (0.94, 0.99).ConclusionsUsing an iterative approach, the development and validation of the CSP-N demonstrated high I-CVI and S-CVI for screening and identification, dual collaboration for the treatment plan, referral, and follow-up of a person with mental illness by the nurses in the community.
Audience Academic
Author Kumar, Channaveerachari
Math, Suresh
Manjunatha, Narayana
Govindan, Radhakrishnan
Paul, James
AuthorAffiliation Department of Nursing, NIMHANS, Bengaluru, Karnataka, India
1 Psychiatry, NIMHANS, Bengaluru, Karnataka, India
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10.1186/1471-2296-13-19
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Issue 3
Keywords Validation
Schedules
Screening
Clinical
Psychiatric nursing
Primary care nursing
Mental illness
Language English
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Snippet Introduction: As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in...
As per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low and...
Introduction: As per the World Health Organization’s mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in...
IntroductionAs per the World Health Organization's mental health report for 2022, nearly a billion people have mental health issues, and 82% of them are in low...
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StartPage 443
SubjectTerms Care and treatment
clinical
Collaboration
Health aspects
Medical personnel
Mental disorders
Mental health
Mental illness
Mentally ill
Nurses
Original
Primary care
primary care nursing
Primary nursing
psychiatric nursing
Psychiatric services
Psychiatric-mental health nursing
schedules
screening
validation
Validity
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Title Development and validation of clinical schedule for primary care psychiatric nursing (CSP-N) for primary care nurses
URI http://www.ijcm.org.in/article.asp?issn=0970-0218;year=2023;volume=48;issue=3;spage=443;epage=452;aulast=Paul;type=0
https://www.ncbi.nlm.nih.gov/pubmed/37469911
https://www.proquest.com/docview/2827160501
https://search.proquest.com/docview/2840245660
https://pubmed.ncbi.nlm.nih.gov/PMC10353680
https://doaj.org/article/77742f0505574d12ab4aecda78968fa7
Volume 48
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