A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health

Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Ausführliche Beschreibung

Gespeichert in:

Autor*in:	B. Spadaro [verfasserIn] N. Martin-Key [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health

Übergeordnetes Werk:	In: European Psychiatry - Cambridge University Press, 2020, 64(2021), Seite S696-S697
Übergeordnetes Werk:	volume:64 ; year:2021 ; pages:S696-S697

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

DOI / URN:	10.1192/j.eurpsy.2021.1845

Katalog-ID:	DOAJ094605599

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520			\|a Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders.
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allfields	10.1192/j.eurpsy.2021.1845 doi (DE-627)DOAJ094605599 (DE-599)DOAJcccac80dd94f406f91b780ae95f55fec DE-627 ger DE-627 rakwb eng RC435-571 B. Spadaro verfasserin aut A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health Psychiatry N. Martin-Key verfasserin aut In European Psychiatry Cambridge University Press, 2020 64(2021), Seite S696-S697 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:64 year:2021 pages:S696-S697 https://doi.org/10.1192/j.eurpsy.2021.1845 kostenfrei https://doaj.org/article/cccac80dd94f406f91b780ae95f55fec kostenfrei https://www.cambridge.org/core/product/identifier/S0924933821018459/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 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 64 2021 S696-S697
spelling	10.1192/j.eurpsy.2021.1845 doi (DE-627)DOAJ094605599 (DE-599)DOAJcccac80dd94f406f91b780ae95f55fec DE-627 ger DE-627 rakwb eng RC435-571 B. Spadaro verfasserin aut A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health Psychiatry N. Martin-Key verfasserin aut In European Psychiatry Cambridge University Press, 2020 64(2021), Seite S696-S697 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:64 year:2021 pages:S696-S697 https://doi.org/10.1192/j.eurpsy.2021.1845 kostenfrei https://doaj.org/article/cccac80dd94f406f91b780ae95f55fec kostenfrei https://www.cambridge.org/core/product/identifier/S0924933821018459/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 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 64 2021 S696-S697
allfields_unstemmed	10.1192/j.eurpsy.2021.1845 doi (DE-627)DOAJ094605599 (DE-599)DOAJcccac80dd94f406f91b780ae95f55fec DE-627 ger DE-627 rakwb eng RC435-571 B. Spadaro verfasserin aut A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health Psychiatry N. Martin-Key verfasserin aut In European Psychiatry Cambridge University Press, 2020 64(2021), Seite S696-S697 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:64 year:2021 pages:S696-S697 https://doi.org/10.1192/j.eurpsy.2021.1845 kostenfrei https://doaj.org/article/cccac80dd94f406f91b780ae95f55fec kostenfrei https://www.cambridge.org/core/product/identifier/S0924933821018459/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 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 64 2021 S696-S697
allfieldsGer	10.1192/j.eurpsy.2021.1845 doi (DE-627)DOAJ094605599 (DE-599)DOAJcccac80dd94f406f91b780ae95f55fec DE-627 ger DE-627 rakwb eng RC435-571 B. Spadaro verfasserin aut A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health Psychiatry N. Martin-Key verfasserin aut In European Psychiatry Cambridge University Press, 2020 64(2021), Seite S696-S697 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:64 year:2021 pages:S696-S697 https://doi.org/10.1192/j.eurpsy.2021.1845 kostenfrei https://doaj.org/article/cccac80dd94f406f91b780ae95f55fec kostenfrei https://www.cambridge.org/core/product/identifier/S0924933821018459/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 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 64 2021 S696-S697
allfieldsSound	10.1192/j.eurpsy.2021.1845 doi (DE-627)DOAJ094605599 (DE-599)DOAJcccac80dd94f406f91b780ae95f55fec DE-627 ger DE-627 rakwb eng RC435-571 B. Spadaro verfasserin aut A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders. Digital Mental Health Maternal mental health Perinatal Mental Health Paternal mental health Psychiatry N. Martin-Key verfasserin aut In European Psychiatry Cambridge University Press, 2020 64(2021), Seite S696-S697 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:64 year:2021 pages:S696-S697 https://doi.org/10.1192/j.eurpsy.2021.1845 kostenfrei https://doaj.org/article/cccac80dd94f406f91b780ae95f55fec kostenfrei https://www.cambridge.org/core/product/identifier/S0924933821018459/type/journal_article kostenfrei https://doaj.org/toc/0924-9338 Journal toc kostenfrei https://doaj.org/toc/1778-3585 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ 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_217 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_374 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2014 GBV_ILN_2110 GBV_ILN_2336 GBV_ILN_2470 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 64 2021 S696-S697
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Spadaro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. 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title_sort	mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health
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title_auth	A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health
abstract	Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders.
abstractGer	Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders.
abstract_unstemmed	Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. Disclosure NMK has financial interest in Psyomics Ltd., a company developing digital diagnostic devices for neuropsychiatric disorders.
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title_short	A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health
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Spadaro</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="2"><subfield code="a">A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2021</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Introduction Perinatal mental health symptoms commonly remain underdiagnosed in maternity care settings in the UK, with the COVID-19 pandemic having further disrupted access to adequate care provision. Digital technologies may offer innovative ways to support the mental health needs of women and partners and assist midwives in recognition of concerns. Objectives We set to investigate the current state of perinatal mental healthcare provision in the UK and the acceptability of a digital mental health assessment. Methods The study entailed completing an online survey. 829 women, 103 partners, and 90 midwives participated in the study. Quantitative data were explored using descriptive statistics. Open-ended responses regarding the perceived benefits and barriers to using a digital mental health assessment were investigated using thematic analysis. Resultant themes were then mapped onto the Capability, Opportunity, and Motivation Model of Behaviour (COM-B model). Results The provision of perinatal mental healthcare support was limited and varied across respondents, particularly throughout the COVID-19 pandemic. There was a strong interest in using a digital mental health assessment placed within maternity healthcare settings to screen, diagnose, and triage concerns (Figure 1). In-person and blended care approaches (i.e., in-person and remote support) were preferred by women and partners in the event of further care being advised (Figure 1). Identified barriers and benefits mainly related to physical opportunity (e.g., accessibility), psychological capability (e.g., cognitive skills) and automatic motivation (e.g., emotions). Conclusions This study provides proof-of-concept support for the development of a digital mental health assessment to inform clinical decision-making for perinatal mental health concerns. 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A mixed methods evaluation of the current state of perinatal mental healthcare and users’ acceptability of a digital assessment for perinatal mental health

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