Estimating the Prevalence of Serious Mental Illness and Dementia Diagnoses Among Medicare Beneficiaries in the Health and Retirement Study

Research output: Contribution to journalArticle

Abstract

Objective: To estimate the prevalence of serious mental illness and dementia among Medicare beneficiaries in the Health and Retirement Study (HRS). Methods: This study utilizes HRS-linked Medicare claims data sets and inverse probability weighting to estimate overall and age-specific cumulative prevalence rates of dementia and serious mental illnesses among 18,740 Medicare beneficiaries. Two-way tabulations determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, and binary logistic regressions determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, controlling for covariates. Results: Weighted prevalence estimates for dementia, schizophrenia (SZP), bipolar disorder (BPD), and major depressive disorder (MDD) are similar to previous studies. Odds of dementia diagnosis are significantly greater for beneficiaries diagnosed with SZP, BPD, or MDD. Conclusions: Co-occurring mental disabilities require further investigation, as in the near future increasing numbers of mentally ill older adults will need appropriate and affordable community-based services and supports.

Original languageEnglish (US)
Pages (from-to)668-686
Number of pages19
JournalResearch on Aging
Volume40
Issue number7
DOIs
StatePublished - Aug 1 2018

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Retirement
Medicare
dementia
retirement
mental illness
Dementia
Health
health
Major Depressive Disorder
schizophrenia
Bipolar Disorder
Schizophrenia
mental disability
Social Welfare
Mentally Ill Persons
weighting
Logistic Models
logistics
regression
community

Keywords

  • aging
  • dementia
  • Medicare
  • mental health
  • prevalence

ASJC Scopus subject areas

  • Social Psychology
  • Health(social science)
  • Geriatrics and Gerontology

Cite this

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title = "Estimating the Prevalence of Serious Mental Illness and Dementia Diagnoses Among Medicare Beneficiaries in the Health and Retirement Study",
abstract = "Objective: To estimate the prevalence of serious mental illness and dementia among Medicare beneficiaries in the Health and Retirement Study (HRS). Methods: This study utilizes HRS-linked Medicare claims data sets and inverse probability weighting to estimate overall and age-specific cumulative prevalence rates of dementia and serious mental illnesses among 18,740 Medicare beneficiaries. Two-way tabulations determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, and binary logistic regressions determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, controlling for covariates. Results: Weighted prevalence estimates for dementia, schizophrenia (SZP), bipolar disorder (BPD), and major depressive disorder (MDD) are similar to previous studies. Odds of dementia diagnosis are significantly greater for beneficiaries diagnosed with SZP, BPD, or MDD. Conclusions: Co-occurring mental disabilities require further investigation, as in the near future increasing numbers of mentally ill older adults will need appropriate and affordable community-based services and supports.",
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AU - Wolf, Douglas Alan

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N2 - Objective: To estimate the prevalence of serious mental illness and dementia among Medicare beneficiaries in the Health and Retirement Study (HRS). Methods: This study utilizes HRS-linked Medicare claims data sets and inverse probability weighting to estimate overall and age-specific cumulative prevalence rates of dementia and serious mental illnesses among 18,740 Medicare beneficiaries. Two-way tabulations determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, and binary logistic regressions determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, controlling for covariates. Results: Weighted prevalence estimates for dementia, schizophrenia (SZP), bipolar disorder (BPD), and major depressive disorder (MDD) are similar to previous studies. Odds of dementia diagnosis are significantly greater for beneficiaries diagnosed with SZP, BPD, or MDD. Conclusions: Co-occurring mental disabilities require further investigation, as in the near future increasing numbers of mentally ill older adults will need appropriate and affordable community-based services and supports.

AB - Objective: To estimate the prevalence of serious mental illness and dementia among Medicare beneficiaries in the Health and Retirement Study (HRS). Methods: This study utilizes HRS-linked Medicare claims data sets and inverse probability weighting to estimate overall and age-specific cumulative prevalence rates of dementia and serious mental illnesses among 18,740 Medicare beneficiaries. Two-way tabulations determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, and binary logistic regressions determine conditional probabilities of dementia diagnoses among beneficiaries diagnosed with specific mental illnesses, controlling for covariates. Results: Weighted prevalence estimates for dementia, schizophrenia (SZP), bipolar disorder (BPD), and major depressive disorder (MDD) are similar to previous studies. Odds of dementia diagnosis are significantly greater for beneficiaries diagnosed with SZP, BPD, or MDD. Conclusions: Co-occurring mental disabilities require further investigation, as in the near future increasing numbers of mentally ill older adults will need appropriate and affordable community-based services and supports.

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