Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa?
Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offerin...
Ausführliche Beschreibung
Autor*in: |
Anna Larsen [verfasserIn] Jillian Pintye [verfasserIn] Amritha Bhat [verfasserIn] Manasi Kumar [verfasserIn] John Kinuthia [verfasserIn] Pamela Y. Collins [verfasserIn] Grace John-Stewart [verfasserIn] |
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E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2021 |
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Übergeordnetes Werk: |
In: SSM - Mental Health - Elsevier, 2021, 1(2021), Seite 100015- |
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Übergeordnetes Werk: |
volume:1 ; year:2021 ; pages:100015- |
Links: |
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DOI / URN: |
10.1016/j.ssmmh.2021.100015 |
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Katalog-ID: |
DOAJ014182327 |
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10.1016/j.ssmmh.2021.100015 doi (DE-627)DOAJ014182327 (DE-599)DOAJaa8076a899a44b3f9edcb43b64066266 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Anna Larsen verfasserin aut Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. Perinatal Depression Sub-Saharan Africa Screening Mental health Pregnancy Mental healing Public aspects of medicine Jillian Pintye verfasserin aut Amritha Bhat verfasserin aut Manasi Kumar verfasserin aut John Kinuthia verfasserin aut Pamela Y. Collins verfasserin aut Grace John-Stewart verfasserin aut In SSM - Mental Health Elsevier, 2021 1(2021), Seite 100015- (DE-627)1776297989 26665603 nnns volume:1 year:2021 pages:100015- https://doi.org/10.1016/j.ssmmh.2021.100015 kostenfrei https://doaj.org/article/aa8076a899a44b3f9edcb43b64066266 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560321000153 kostenfrei https://doaj.org/toc/2666-5603 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2021 100015- |
spelling |
10.1016/j.ssmmh.2021.100015 doi (DE-627)DOAJ014182327 (DE-599)DOAJaa8076a899a44b3f9edcb43b64066266 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Anna Larsen verfasserin aut Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. Perinatal Depression Sub-Saharan Africa Screening Mental health Pregnancy Mental healing Public aspects of medicine Jillian Pintye verfasserin aut Amritha Bhat verfasserin aut Manasi Kumar verfasserin aut John Kinuthia verfasserin aut Pamela Y. Collins verfasserin aut Grace John-Stewart verfasserin aut In SSM - Mental Health Elsevier, 2021 1(2021), Seite 100015- (DE-627)1776297989 26665603 nnns volume:1 year:2021 pages:100015- https://doi.org/10.1016/j.ssmmh.2021.100015 kostenfrei https://doaj.org/article/aa8076a899a44b3f9edcb43b64066266 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560321000153 kostenfrei https://doaj.org/toc/2666-5603 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2021 100015- |
allfields_unstemmed |
10.1016/j.ssmmh.2021.100015 doi (DE-627)DOAJ014182327 (DE-599)DOAJaa8076a899a44b3f9edcb43b64066266 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Anna Larsen verfasserin aut Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. Perinatal Depression Sub-Saharan Africa Screening Mental health Pregnancy Mental healing Public aspects of medicine Jillian Pintye verfasserin aut Amritha Bhat verfasserin aut Manasi Kumar verfasserin aut John Kinuthia verfasserin aut Pamela Y. Collins verfasserin aut Grace John-Stewart verfasserin aut In SSM - Mental Health Elsevier, 2021 1(2021), Seite 100015- (DE-627)1776297989 26665603 nnns volume:1 year:2021 pages:100015- https://doi.org/10.1016/j.ssmmh.2021.100015 kostenfrei https://doaj.org/article/aa8076a899a44b3f9edcb43b64066266 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560321000153 kostenfrei https://doaj.org/toc/2666-5603 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2021 100015- |
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10.1016/j.ssmmh.2021.100015 doi (DE-627)DOAJ014182327 (DE-599)DOAJaa8076a899a44b3f9edcb43b64066266 DE-627 ger DE-627 rakwb eng RZ400-408 RA1-1270 Anna Larsen verfasserin aut Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. Perinatal Depression Sub-Saharan Africa Screening Mental health Pregnancy Mental healing Public aspects of medicine Jillian Pintye verfasserin aut Amritha Bhat verfasserin aut Manasi Kumar verfasserin aut John Kinuthia verfasserin aut Pamela Y. Collins verfasserin aut Grace John-Stewart verfasserin aut In SSM - Mental Health Elsevier, 2021 1(2021), Seite 100015- (DE-627)1776297989 26665603 nnns volume:1 year:2021 pages:100015- https://doi.org/10.1016/j.ssmmh.2021.100015 kostenfrei https://doaj.org/article/aa8076a899a44b3f9edcb43b64066266 kostenfrei http://www.sciencedirect.com/science/article/pii/S2666560321000153 kostenfrei https://doaj.org/toc/2666-5603 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_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 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_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 1 2021 100015- |
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Anna Larsen misc RZ400-408 misc RA1-1270 misc Perinatal misc Depression misc Sub-Saharan Africa misc Screening misc Mental health misc Pregnancy misc Mental healing misc Public aspects of medicine Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? |
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RZ400-408 RA1-1270 Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? Perinatal Depression Sub-Saharan Africa Screening Mental health Pregnancy |
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is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-saharan africa? |
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Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? |
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Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. |
abstractGer |
Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. |
abstract_unstemmed |
Depression is a leading cause of maternal morbidity and mortality worldwide and the most common complication of the perinatal period. Women in sub-Saharan Africa (SSA) are disproportionately impacted by perinatal depression. Maternal and child health (MCH) clinics are widely attended in SSA, offering a potential access point for depression screening. Yet, selection of optimal depression screening instruments for use within MCH clinics in SSA remains unclear. We synthesized evidence depicting relative strength of perinatal depression screening scales for use among African perinatal women within four evaluation domains: 1) diagnostic performance, 2) cultural adaptation, 3) feasibility and ease of implementation, 4) experience using the tool in SSA perinatal populations. The Edinburgh Postnatal Depression Scale (EPDS) and Patient Health Questionnaire-9 (PHQ-9) had the most evidence among peripartum women in SSA, and a balance of feasibility, diagnostic performance metrics, and cultural adaptations. Other depressive screening instruments developed for general populations show strengths for application in African perinatal populations in at least one evaluation domain. Building health services capacity to integrate depression screening within routine MCH visits is an important next step to address perinatal depression in SSA. |
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Is there an optimal screening tool for identifying perinatal depression within clinical settings of sub-Saharan Africa? |
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