Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence
This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a re...
Ausführliche Beschreibung
Autor*in: |
Mohsin Hassan Alvi [verfasserIn] Tehmina Ashraf [verfasserIn] Tayyeba Kiran [verfasserIn] Nasir Iqbal [verfasserIn] Anil Gumber [verfasserIn] Anita Patel [verfasserIn] Nusrat Husain [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Schlagwörter: |
---|
Übergeordnetes Werk: |
In: BJPsych International - Cambridge University Press, 2018 |
---|
Links: |
Link aufrufen |
---|
DOI / URN: |
10.1192/bji.2023.4 |
---|
Katalog-ID: |
DOAJ08940338X |
---|
LEADER | 01000naa a22002652 4500 | ||
---|---|---|---|
001 | DOAJ08940338X | ||
003 | DE-627 | ||
005 | 20230505010221.0 | ||
007 | cr uuu---uuuuu | ||
008 | 230505nuuuuuuuuxx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1192/bji.2023.4 |2 doi | |
035 | |a (DE-627)DOAJ08940338X | ||
035 | |a (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
050 | 0 | |a RC435-571 | |
100 | 0 | |a Mohsin Hassan Alvi |e verfasserin |4 aut | |
245 | 1 | 0 | |a Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a Computermedien |b c |2 rdamedia | ||
338 | |a Online-Ressource |b cr |2 rdacarrier | ||
520 | |a This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. | ||
650 | 4 | |a Pakistan | |
650 | 4 | |a economic burden | |
650 | 4 | |a mental illness | |
650 | 4 | |a extrapolation | |
650 | 4 | |a cost | |
653 | 0 | |a Psychiatry | |
700 | 0 | |a Tehmina Ashraf |e verfasserin |4 aut | |
700 | 0 | |a Tayyeba Kiran |e verfasserin |4 aut | |
700 | 0 | |a Nasir Iqbal |e verfasserin |4 aut | |
700 | 0 | |a Anil Gumber |e verfasserin |4 aut | |
700 | 0 | |a Anita Patel |e verfasserin |4 aut | |
700 | 0 | |a Nusrat Husain |e verfasserin |4 aut | |
773 | 0 | 8 | |i In |t BJPsych International |d Cambridge University Press, 2018 |w (DE-627)897219848 |w (DE-600)2905058-3 |x 20586264 |7 nnns |
856 | 4 | 0 | |u https://doi.org/10.1192/bji.2023.4 |z kostenfrei |
856 | 4 | 0 | |u https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a |z kostenfrei |
856 | 4 | 0 | |u https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2056-4740 |y Journal toc |z kostenfrei |
856 | 4 | 2 | |u https://doaj.org/toc/2058-6264 |y Journal toc |z kostenfrei |
912 | |a GBV_USEFLAG_A | ||
912 | |a SYSFLAG_A | ||
912 | |a GBV_DOAJ | ||
951 | |a AR |
author_variant |
m h a mha t a ta t k tk n i ni a g ag a p ap n h nh |
---|---|
matchkey_str |
article:20586264:uuuuuuuu::cnmcudnfetllnsipksaaetmtofrhya2 |
callnumber-subject-code |
RC |
allfields |
10.1192/bji.2023.4 doi (DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a DE-627 ger DE-627 rakwb eng RC435-571 Mohsin Hassan Alvi verfasserin aut Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. Pakistan economic burden mental illness extrapolation cost Psychiatry Tehmina Ashraf verfasserin aut Tayyeba Kiran verfasserin aut Nasir Iqbal verfasserin aut Anil Gumber verfasserin aut Anita Patel verfasserin aut Nusrat Husain verfasserin aut In BJPsych International Cambridge University Press, 2018 (DE-627)897219848 (DE-600)2905058-3 20586264 nnns https://doi.org/10.1192/bji.2023.4 kostenfrei https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a kostenfrei https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article kostenfrei https://doaj.org/toc/2056-4740 Journal toc kostenfrei https://doaj.org/toc/2058-6264 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR |
spelling |
10.1192/bji.2023.4 doi (DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a DE-627 ger DE-627 rakwb eng RC435-571 Mohsin Hassan Alvi verfasserin aut Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. Pakistan economic burden mental illness extrapolation cost Psychiatry Tehmina Ashraf verfasserin aut Tayyeba Kiran verfasserin aut Nasir Iqbal verfasserin aut Anil Gumber verfasserin aut Anita Patel verfasserin aut Nusrat Husain verfasserin aut In BJPsych International Cambridge University Press, 2018 (DE-627)897219848 (DE-600)2905058-3 20586264 nnns https://doi.org/10.1192/bji.2023.4 kostenfrei https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a kostenfrei https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article kostenfrei https://doaj.org/toc/2056-4740 Journal toc kostenfrei https://doaj.org/toc/2058-6264 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR |
allfields_unstemmed |
10.1192/bji.2023.4 doi (DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a DE-627 ger DE-627 rakwb eng RC435-571 Mohsin Hassan Alvi verfasserin aut Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. Pakistan economic burden mental illness extrapolation cost Psychiatry Tehmina Ashraf verfasserin aut Tayyeba Kiran verfasserin aut Nasir Iqbal verfasserin aut Anil Gumber verfasserin aut Anita Patel verfasserin aut Nusrat Husain verfasserin aut In BJPsych International Cambridge University Press, 2018 (DE-627)897219848 (DE-600)2905058-3 20586264 nnns https://doi.org/10.1192/bji.2023.4 kostenfrei https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a kostenfrei https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article kostenfrei https://doaj.org/toc/2056-4740 Journal toc kostenfrei https://doaj.org/toc/2058-6264 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR |
allfieldsGer |
10.1192/bji.2023.4 doi (DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a DE-627 ger DE-627 rakwb eng RC435-571 Mohsin Hassan Alvi verfasserin aut Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. Pakistan economic burden mental illness extrapolation cost Psychiatry Tehmina Ashraf verfasserin aut Tayyeba Kiran verfasserin aut Nasir Iqbal verfasserin aut Anil Gumber verfasserin aut Anita Patel verfasserin aut Nusrat Husain verfasserin aut In BJPsych International Cambridge University Press, 2018 (DE-627)897219848 (DE-600)2905058-3 20586264 nnns https://doi.org/10.1192/bji.2023.4 kostenfrei https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a kostenfrei https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article kostenfrei https://doaj.org/toc/2056-4740 Journal toc kostenfrei https://doaj.org/toc/2058-6264 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR |
allfieldsSound |
10.1192/bji.2023.4 doi (DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a DE-627 ger DE-627 rakwb eng RC435-571 Mohsin Hassan Alvi verfasserin aut Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. Pakistan economic burden mental illness extrapolation cost Psychiatry Tehmina Ashraf verfasserin aut Tayyeba Kiran verfasserin aut Nasir Iqbal verfasserin aut Anil Gumber verfasserin aut Anita Patel verfasserin aut Nusrat Husain verfasserin aut In BJPsych International Cambridge University Press, 2018 (DE-627)897219848 (DE-600)2905058-3 20586264 nnns https://doi.org/10.1192/bji.2023.4 kostenfrei https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a kostenfrei https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article kostenfrei https://doaj.org/toc/2056-4740 Journal toc kostenfrei https://doaj.org/toc/2058-6264 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR |
language |
English |
source |
In BJPsych International |
sourceStr |
In BJPsych International |
format_phy_str_mv |
Article |
institution |
findex.gbv.de |
topic_facet |
Pakistan economic burden mental illness extrapolation cost Psychiatry |
isfreeaccess_bool |
true |
container_title |
BJPsych International |
authorswithroles_txt_mv |
Mohsin Hassan Alvi @@aut@@ Tehmina Ashraf @@aut@@ Tayyeba Kiran @@aut@@ Nasir Iqbal @@aut@@ Anil Gumber @@aut@@ Anita Patel @@aut@@ Nusrat Husain @@aut@@ |
publishDateDaySort_date |
2024-01-01T00:00:00Z |
hierarchy_top_id |
897219848 |
id |
DOAJ08940338X |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ08940338X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505010221.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505nuuuuuuuuxx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1192/bji.2023.4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ08940338X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC435-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mohsin Hassan Alvi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence</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">This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pakistan</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">economic burden</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mental illness</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">extrapolation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cost</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Psychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tehmina Ashraf</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tayyeba Kiran</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nasir Iqbal</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anil Gumber</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anita Patel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nusrat Husain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">BJPsych International</subfield><subfield code="d">Cambridge University Press, 2018</subfield><subfield code="w">(DE-627)897219848</subfield><subfield code="w">(DE-600)2905058-3</subfield><subfield code="x">20586264</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1192/bji.2023.4</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2056-4740</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2058-6264</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield></record></collection>
|
callnumber-first |
R - Medicine |
author |
Mohsin Hassan Alvi |
spellingShingle |
Mohsin Hassan Alvi misc RC435-571 misc Pakistan misc economic burden misc mental illness misc extrapolation misc cost misc Psychiatry Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
authorStr |
Mohsin Hassan Alvi |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)897219848 |
format |
electronic Article |
delete_txt_mv |
keep |
author_role |
aut aut aut aut aut aut aut |
collection |
DOAJ |
remote_str |
true |
callnumber-label |
RC435-571 |
illustrated |
Not Illustrated |
issn |
20586264 |
topic_title |
RC435-571 Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence Pakistan economic burden mental illness extrapolation cost |
topic |
misc RC435-571 misc Pakistan misc economic burden misc mental illness misc extrapolation misc cost misc Psychiatry |
topic_unstemmed |
misc RC435-571 misc Pakistan misc economic burden misc mental illness misc extrapolation misc cost misc Psychiatry |
topic_browse |
misc RC435-571 misc Pakistan misc economic burden misc mental illness misc extrapolation misc cost misc Psychiatry |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
cr |
hierarchy_parent_title |
BJPsych International |
hierarchy_parent_id |
897219848 |
hierarchy_top_title |
BJPsych International |
isfreeaccess_txt |
true |
familylinks_str_mv |
(DE-627)897219848 (DE-600)2905058-3 |
title |
Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
ctrlnum |
(DE-627)DOAJ08940338X (DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a |
title_full |
Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
author_sort |
Mohsin Hassan Alvi |
journal |
BJPsych International |
journalStr |
BJPsych International |
callnumber-first-code |
R |
lang_code |
eng |
isOA_bool |
true |
recordtype |
marc |
contenttype_str_mv |
txt |
author_browse |
Mohsin Hassan Alvi Tehmina Ashraf Tayyeba Kiran Nasir Iqbal Anil Gumber Anita Patel Nusrat Husain |
class |
RC435-571 |
format_se |
Elektronische Aufsätze |
author-letter |
Mohsin Hassan Alvi |
doi_str_mv |
10.1192/bji.2023.4 |
author2-role |
verfasserin |
title_sort |
economic burden of mental illness in pakistan: an estimation for the year 2020 from existing evidence |
callnumber |
RC435-571 |
title_auth |
Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
abstract |
This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. |
abstractGer |
This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. |
abstract_unstemmed |
This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme. |
collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ |
title_short |
Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence |
url |
https://doi.org/10.1192/bji.2023.4 https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article https://doaj.org/toc/2056-4740 https://doaj.org/toc/2058-6264 |
remote_bool |
true |
author2 |
Tehmina Ashraf Tayyeba Kiran Nasir Iqbal Anil Gumber Anita Patel Nusrat Husain |
author2Str |
Tehmina Ashraf Tayyeba Kiran Nasir Iqbal Anil Gumber Anita Patel Nusrat Husain |
ppnlink |
897219848 |
callnumber-subject |
RC - Internal Medicine |
mediatype_str_mv |
c |
isOA_txt |
true |
hochschulschrift_bool |
false |
doi_str |
10.1192/bji.2023.4 |
callnumber-a |
RC435-571 |
up_date |
2024-07-03T22:55:01.421Z |
_version_ |
1803600319137972224 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">DOAJ08940338X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230505010221.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230505nuuuuuuuuxx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1192/bji.2023.4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ08940338X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ656e3131ae564ffaa531fa1b8f0eea5a</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">RC435-571</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Mohsin Hassan Alvi</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Economic burden of mental illness in Pakistan: an estimation for the year 2020 from existing evidence</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">This report is based on the extrapolation to 2020 of data on the economic burden of mental illnesses in Pakistan in 2006. Given the resultant estimated high economic burden of mental illness in the country (£2.97 billion in 2020), we advocate a revised budget allocation to mental healthcare. As a resource-scarce nation that is entangled in natural disasters, Pakistan needs cost-effective psychological interventions such as culturally adapted manual-assisted problem-solving training (C-MAP) for the prevention of self-harm and suicide and to move towards attaining the United Nations’ Sustainable Development Goals (SDGs). Although government has taken initiatives to support healthcare services (such as the Sehat Sahulat Program for universal health coverage), there is still a need to implement a cost-effective national digital model for mental healthcare such as the Agha Khan Development Network Digital Health Programme.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pakistan</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">economic burden</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">mental illness</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">extrapolation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">cost</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Psychiatry</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tehmina Ashraf</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Tayyeba Kiran</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nasir Iqbal</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anil Gumber</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Anita Patel</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">Nusrat Husain</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">In</subfield><subfield code="t">BJPsych International</subfield><subfield code="d">Cambridge University Press, 2018</subfield><subfield code="w">(DE-627)897219848</subfield><subfield code="w">(DE-600)2905058-3</subfield><subfield code="x">20586264</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1192/bji.2023.4</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doaj.org/article/656e3131ae564ffaa531fa1b8f0eea5a</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://www.cambridge.org/core/product/identifier/S2056474023000041/type/journal_article</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2056-4740</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">https://doaj.org/toc/2058-6264</subfield><subfield code="y">Journal toc</subfield><subfield code="z">kostenfrei</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_DOAJ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield></record></collection>
|
score |
7.3982754 |