Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data

Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients...
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Gespeichert in:

Autor*in:	P. Dr. Fadgyas-Freyler [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	mental health patient numbers mental health costs direct mental health care spending mental care costs Hungary

Übergeordnetes Werk:	In: European Psychiatry - Cambridge University Press, 2020, 65(2022), Seite S342-S342
Übergeordnetes Werk:	volume:65 ; year:2022 ; pages:S342-S342

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

DOI / URN:	10.1192/j.eurpsy.2022.869

Katalog-ID:	DOAJ094603979

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520			\|a Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships.
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allfields_unstemmed	10.1192/j.eurpsy.2022.869 doi (DE-627)DOAJ094603979 (DE-599)DOAJ02f82b96e4d2472b863f72c5d3c66838 DE-627 ger DE-627 rakwb eng RC435-571 P. Dr. Fadgyas-Freyler verfasserin aut Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships. mental health patient numbers mental health costs direct mental health care spending mental care costs Hungary Psychiatry In European Psychiatry Cambridge University Press, 2020 65(2022), Seite S342-S342 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 pages:S342-S342 https://doi.org/10.1192/j.eurpsy.2022.869 kostenfrei https://doaj.org/article/02f82b96e4d2472b863f72c5d3c66838 kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822008690/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 65 2022 S342-S342
allfieldsGer	10.1192/j.eurpsy.2022.869 doi (DE-627)DOAJ094603979 (DE-599)DOAJ02f82b96e4d2472b863f72c5d3c66838 DE-627 ger DE-627 rakwb eng RC435-571 P. Dr. Fadgyas-Freyler verfasserin aut Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships. mental health patient numbers mental health costs direct mental health care spending mental care costs Hungary Psychiatry In European Psychiatry Cambridge University Press, 2020 65(2022), Seite S342-S342 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 pages:S342-S342 https://doi.org/10.1192/j.eurpsy.2022.869 kostenfrei https://doaj.org/article/02f82b96e4d2472b863f72c5d3c66838 kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822008690/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 65 2022 S342-S342
allfieldsSound	10.1192/j.eurpsy.2022.869 doi (DE-627)DOAJ094603979 (DE-599)DOAJ02f82b96e4d2472b863f72c5d3c66838 DE-627 ger DE-627 rakwb eng RC435-571 P. Dr. Fadgyas-Freyler verfasserin aut Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships. mental health patient numbers mental health costs direct mental health care spending mental care costs Hungary Psychiatry In European Psychiatry Cambridge University Press, 2020 65(2022), Seite S342-S342 (DE-627)320445070 (DE-600)2005377-0 17783585 nnns volume:65 year:2022 pages:S342-S342 https://doi.org/10.1192/j.eurpsy.2022.869 kostenfrei https://doaj.org/article/02f82b96e4d2472b863f72c5d3c66838 kostenfrei https://www.cambridge.org/core/product/identifier/S0924933822008690/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 65 2022 S342-S342
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Dr. Fadgyas-Freyler</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</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 According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. 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title	Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data
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title_sort	prevalence and direct health cost of mental diseases in hungary - analysis of the national health insurance fund’s data
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title_auth	Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data
abstract	Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships.
abstractGer	Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships.
abstract_unstemmed	Introduction According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. Disclosure No significant relationships.
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title_short	Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data
url	https://doi.org/10.1192/j.eurpsy.2022.869 https://doaj.org/article/02f82b96e4d2472b863f72c5d3c66838 https://www.cambridge.org/core/product/identifier/S0924933822008690/type/journal_article https://doaj.org/toc/0924-9338 https://doaj.org/toc/1778-3585
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Dr. Fadgyas-Freyler</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</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 According to international publications the burden of mental diseases is considered to be significant and rising. Objectives Scope of analysis is to present 1) patient numbers and 2) direct mental health costs from the database of the National Health Insurance Fund Hungary for patients with F00-F99 ICD code between 2015-2019. Methods An Oracle database was created with direct mental care costs for each patient in a given year with a three-digit ICD code and type of care (primary, specialist, prescribing) and handled via sql queries. Data on capacity and performance came from the NHIF and NSO website for 2008-2019 and were handled via Microsoft Excel. Results Mental problems affected 3 million people (more than 30% of the population) in a five year period, though patient numbers are continuously declining. Almost half of the patients only visit a general practitioner and don’t get a prescription. There is also a drop in proportional mental spending which has fallen from 5,03% to 4,02%. This tendency is accordance with international findings. There is a dramatic fall of inpatient cases and a growing number of outpatient interventions, though we see a move from individual therapy sessions to group interventions and a decline in specialist psychotherapy sessions. We can see a shift towards more young patients both in inpatient and outpatient setting. Conclusions The analysis raises the question whether declining patient numbers and shrinking proportional spending are due to smaller provider capacities and unmet need or a mentally healthier population. 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Prevalence and direct health cost of mental diseases in Hungary - analysis of the National Health Insurance Fund’s data

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