Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India

Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to...
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Autor*in:	Nikhil Jain [verfasserIn] Sidharth Arya [verfasserIn] Rajiv Gupta [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Schlagwörter:	disengagement dropout mental health services outpatient treatment retention

Übergeordnetes Werk:	In: Journal of Neurosciences in Rural Practice - Thieme Medical and Scientific Publishers Pvt. Ltd., 2011, 08(2017), 04, Seite 535-539
Übergeordnetes Werk:	volume:08 ; year:2017 ; number:04 ; pages:535-539

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.4103/jnrp.jnrp_119_17

Katalog-ID:	DOAJ05835932X

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spelling	10.4103/jnrp.jnrp_119_17 doi (DE-627)DOAJ05835932X (DE-599)DOAJf17ba751459848e797553be067b3d9c6 DE-627 ger DE-627 rakwb eng RC321-571 Nikhil Jain verfasserin aut Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting. disengagement dropout mental health services outpatient treatment retention Neurosciences. Biological psychiatry. Neuropsychiatry Sidharth Arya verfasserin aut Rajiv Gupta verfasserin aut In Journal of Neurosciences in Rural Practice Thieme Medical and Scientific Publishers Pvt. Ltd., 2011 08(2017), 04, Seite 535-539 (DE-627)655139028 (DE-600)2601242-X 09763155 nnns volume:08 year:2017 number:04 pages:535-539 https://doi.org/10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/article/f17ba751459848e797553be067b3d9c6 kostenfrei http://www.thieme-connect.de/DOI/DOI?10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/toc/0976-3147 Journal toc kostenfrei https://doaj.org/toc/0976-3155 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 08 2017 04 535-539
allfields_unstemmed	10.4103/jnrp.jnrp_119_17 doi (DE-627)DOAJ05835932X (DE-599)DOAJf17ba751459848e797553be067b3d9c6 DE-627 ger DE-627 rakwb eng RC321-571 Nikhil Jain verfasserin aut Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting. disengagement dropout mental health services outpatient treatment retention Neurosciences. Biological psychiatry. Neuropsychiatry Sidharth Arya verfasserin aut Rajiv Gupta verfasserin aut In Journal of Neurosciences in Rural Practice Thieme Medical and Scientific Publishers Pvt. Ltd., 2011 08(2017), 04, Seite 535-539 (DE-627)655139028 (DE-600)2601242-X 09763155 nnns volume:08 year:2017 number:04 pages:535-539 https://doi.org/10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/article/f17ba751459848e797553be067b3d9c6 kostenfrei http://www.thieme-connect.de/DOI/DOI?10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/toc/0976-3147 Journal toc kostenfrei https://doaj.org/toc/0976-3155 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 08 2017 04 535-539
allfieldsGer	10.4103/jnrp.jnrp_119_17 doi (DE-627)DOAJ05835932X (DE-599)DOAJf17ba751459848e797553be067b3d9c6 DE-627 ger DE-627 rakwb eng RC321-571 Nikhil Jain verfasserin aut Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting. disengagement dropout mental health services outpatient treatment retention Neurosciences. Biological psychiatry. Neuropsychiatry Sidharth Arya verfasserin aut Rajiv Gupta verfasserin aut In Journal of Neurosciences in Rural Practice Thieme Medical and Scientific Publishers Pvt. Ltd., 2011 08(2017), 04, Seite 535-539 (DE-627)655139028 (DE-600)2601242-X 09763155 nnns volume:08 year:2017 number:04 pages:535-539 https://doi.org/10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/article/f17ba751459848e797553be067b3d9c6 kostenfrei http://www.thieme-connect.de/DOI/DOI?10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/toc/0976-3147 Journal toc kostenfrei https://doaj.org/toc/0976-3155 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 08 2017 04 535-539
allfieldsSound	10.4103/jnrp.jnrp_119_17 doi (DE-627)DOAJ05835932X (DE-599)DOAJf17ba751459848e797553be067b3d9c6 DE-627 ger DE-627 rakwb eng RC321-571 Nikhil Jain verfasserin aut Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting. disengagement dropout mental health services outpatient treatment retention Neurosciences. Biological psychiatry. Neuropsychiatry Sidharth Arya verfasserin aut Rajiv Gupta verfasserin aut In Journal of Neurosciences in Rural Practice Thieme Medical and Scientific Publishers Pvt. Ltd., 2011 08(2017), 04, Seite 535-539 (DE-627)655139028 (DE-600)2601242-X 09763155 nnns volume:08 year:2017 number:04 pages:535-539 https://doi.org/10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/article/f17ba751459848e797553be067b3d9c6 kostenfrei http://www.thieme-connect.de/DOI/DOI?10.4103/jnrp.jnrp_119_17 kostenfrei https://doaj.org/toc/0976-3147 Journal toc kostenfrei https://doaj.org/toc/0976-3155 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_267 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 08 2017 04 535-539
language	English
source	In Journal of Neurosciences in Rural Practice 08(2017), 04, Seite 535-539 volume:08 year:2017 number:04 pages:535-539
sourceStr	In Journal of Neurosciences in Rural Practice 08(2017), 04, Seite 535-539 volume:08 year:2017 number:04 pages:535-539
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topic_facet	disengagement dropout mental health services outpatient treatment retention Neurosciences. Biological psychiatry. Neuropsychiatry
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author	Nikhil Jain
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topic_title	RC321-571 Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India disengagement dropout mental health services outpatient treatment retention
topic	misc RC321-571 misc disengagement misc dropout misc mental health services misc outpatient misc treatment retention misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_unstemmed	misc RC321-571 misc disengagement misc dropout misc mental health services misc outpatient misc treatment retention misc Neurosciences. Biological psychiatry. Neuropsychiatry
topic_browse	misc RC321-571 misc disengagement misc dropout misc mental health services misc outpatient misc treatment retention misc Neurosciences. Biological psychiatry. Neuropsychiatry
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title	Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India
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title_full	Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India
author_sort	Nikhil Jain
journal	Journal of Neurosciences in Rural Practice
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author_browse	Nikhil Jain Sidharth Arya Rajiv Gupta
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doi_str_mv	10.4103/jnrp.jnrp_119_17
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title_sort	predictors of dropout from outpatient mental health services; a study from rohtak, india
callnumber	RC321-571
title_auth	Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India
abstract	Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting.
abstractGer	Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting.
abstract_unstemmed	Context: Dropout from mental health services is problematic in both developed and developing nations and often leads to poor outcomes. There is a lack of hospital-based studies assessing the factors responsible for treatment dropout from mental health services in Indian settings. This study aims to contribute in that direction by presenting a study done in a tertiary care hospital in North India. Methodology: This was a hospital-based retrospective chart review carried out on randomly selected 139 patients at a tertiary hospital from January 1, 2014, to June 30, 2014. For this chart review, an abstraction form was designed that recorded six sociodemographic variables, nine clinical factors, and two outcome variables (more than one follow-up and active follow-up till 6 months). Results: Out of 139 patients, 53 patients dropped out after the first visit and 105 patients dropped out by the end of 6 months. Lower education status (odds ratio [OR] = 8.2, 95% confidence interval [CI]: 2.30–29.50), severe mental illness (OR = 2.6, 95% CI: 1.05–6.49), and early referral to clinical psychologist (CP) (OR = 7.8, 95% CI: 1.87–6.49) were predictors of better rates of follow-up after first visit. Lower education status (OR = 4.9, 95% CI: 1.45–17.08), early referral to CP (OR = 5.8, 95% CI: 2.09–38.35), and previous treatment history (OR = 8.9, 95% CI: 1.97–17.52) were predictors of better rates of follow-up at the end of 6 months. Conclusion: The findings that education status, diagnosis, utilizing services of CP, and psychiatric services in past are correlated with dropout rates may be helpful in targeting patients who are more vulnerable to dropping out of care in the given setting.
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title_short	Predictors of Dropout from Outpatient Mental Health Services; A Study from Rohtak, India
url	https://doi.org/10.4103/jnrp.jnrp_119_17 https://doaj.org/article/f17ba751459848e797553be067b3d9c6 http://www.thieme-connect.de/DOI/DOI?10.4103/jnrp.jnrp_119_17 https://doaj.org/toc/0976-3147 https://doaj.org/toc/0976-3155
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up_date	2024-07-03T17:32:02.503Z
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