Depression, healthcare utilization, and death in heart failure a community study

Amanda R. Moraska, Alanna Chamberlain, Nilay D Shah, Kristin S. Vickers, Teresa A. Rummans, Shannon M Dunlay, John A. Spertus, Susan A. Weston, Sheila M. McNallan, Margaret May Redfield, Veronique Lee Roger

Research output: Contribution to journalArticle

80 Citations (Scopus)

Abstract

Background.The increasing prevalence of heart failure (HF) and high associated costs have spurred investigation of factors leading to adverse outcomes in patients with HF. Studies to date report inconsistent evidence on the link between depression and outcomes with only limited data on emergency department and outpatient visits. Methods and Results.Olmsted, Dodge, and Fillmore county, Minnesota residents with HF were prospectively recruited between October 2007 and December 2010 and completed a 1-time 9-item Patient Health Questionnaire for depression categorized as: none to minimal (Patient Health Questionnaire score, 0-4), mild (5-9), or moderate to severe (≥10). Andersen- Gill models were used to determine whether depression predicted hospitalizations and emergency department visits, whereas negative binomial regression models explored the association of depression with outpatient visits. Cox proportional hazards regression characterized the relationship between depression and all-cause mortality. Among 402 patients with HF (mean age, 73±13 years; 58% men), 15% had moderate to severe depression, 26% mild, and 59% none to minimal depression. During a mean follow-up of 1.6 years, 781 hospitalizations, 1000 emergency department visits, 15 515 outpatient visits, and 74 deaths occurred. After adjustment, moderate to severe depression was associated with nearly a 2-fold increased risk of hospitalization (hazard ratio, 1.79; 95% confidence interval, 1.30-2.47) and emergency department visits (hazard ratio, 1.83; 95% confidence interval, 1.34-2.50), a modest increase in outpatient visits (rate ratio, 1.20; 95% confidence interval, 1.00.1.45), and a 4-fold increase in all-cause mortality (hazard ratio, 4.06; 95% confidence interval, 2.35-7.01). Conclusions.In this prospective cohort study, depression independently predicted an increase in the use of healthcare resources and mortality. Greater recognition and management of depression in HF may optimize clinical outcomes and resource utilization.

Original languageEnglish (US)
Pages (from-to)387-394
Number of pages8
JournalCirculation: Heart Failure
Volume6
Issue number3
DOIs
StatePublished - May 2013

Fingerprint

Heart Failure
Hospital Emergency Service
Delivery of Health Care
Outpatients
Confidence Intervals
Hospitalization
Mortality
Health
Statistical Models
Cohort Studies
Prospective Studies
Costs and Cost Analysis
Surveys and Questionnaires

Keywords

  • Cardiovascular outcomes
  • Depression
  • Healthcare utilization
  • Heart failure
  • Psychosocial factors

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

Cite this

Depression, healthcare utilization, and death in heart failure a community study. / Moraska, Amanda R.; Chamberlain, Alanna; Shah, Nilay D; Vickers, Kristin S.; Rummans, Teresa A.; Dunlay, Shannon M; Spertus, John A.; Weston, Susan A.; McNallan, Sheila M.; Redfield, Margaret May; Roger, Veronique Lee.

In: Circulation: Heart Failure, Vol. 6, No. 3, 05.2013, p. 387-394.

Research output: Contribution to journalArticle

Moraska, Amanda R. ; Chamberlain, Alanna ; Shah, Nilay D ; Vickers, Kristin S. ; Rummans, Teresa A. ; Dunlay, Shannon M ; Spertus, John A. ; Weston, Susan A. ; McNallan, Sheila M. ; Redfield, Margaret May ; Roger, Veronique Lee. / Depression, healthcare utilization, and death in heart failure a community study. In: Circulation: Heart Failure. 2013 ; Vol. 6, No. 3. pp. 387-394.
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AU - Moraska, Amanda R.

AU - Chamberlain, Alanna

AU - Shah, Nilay D

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AU - Rummans, Teresa A.

AU - Dunlay, Shannon M

AU - Spertus, John A.

AU - Weston, Susan A.

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AU - Roger, Veronique Lee

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N2 - Background.The increasing prevalence of heart failure (HF) and high associated costs have spurred investigation of factors leading to adverse outcomes in patients with HF. Studies to date report inconsistent evidence on the link between depression and outcomes with only limited data on emergency department and outpatient visits. Methods and Results.Olmsted, Dodge, and Fillmore county, Minnesota residents with HF were prospectively recruited between October 2007 and December 2010 and completed a 1-time 9-item Patient Health Questionnaire for depression categorized as: none to minimal (Patient Health Questionnaire score, 0-4), mild (5-9), or moderate to severe (≥10). Andersen- Gill models were used to determine whether depression predicted hospitalizations and emergency department visits, whereas negative binomial regression models explored the association of depression with outpatient visits. Cox proportional hazards regression characterized the relationship between depression and all-cause mortality. Among 402 patients with HF (mean age, 73±13 years; 58% men), 15% had moderate to severe depression, 26% mild, and 59% none to minimal depression. During a mean follow-up of 1.6 years, 781 hospitalizations, 1000 emergency department visits, 15 515 outpatient visits, and 74 deaths occurred. After adjustment, moderate to severe depression was associated with nearly a 2-fold increased risk of hospitalization (hazard ratio, 1.79; 95% confidence interval, 1.30-2.47) and emergency department visits (hazard ratio, 1.83; 95% confidence interval, 1.34-2.50), a modest increase in outpatient visits (rate ratio, 1.20; 95% confidence interval, 1.00.1.45), and a 4-fold increase in all-cause mortality (hazard ratio, 4.06; 95% confidence interval, 2.35-7.01). Conclusions.In this prospective cohort study, depression independently predicted an increase in the use of healthcare resources and mortality. Greater recognition and management of depression in HF may optimize clinical outcomes and resource utilization.

AB - Background.The increasing prevalence of heart failure (HF) and high associated costs have spurred investigation of factors leading to adverse outcomes in patients with HF. Studies to date report inconsistent evidence on the link between depression and outcomes with only limited data on emergency department and outpatient visits. Methods and Results.Olmsted, Dodge, and Fillmore county, Minnesota residents with HF were prospectively recruited between October 2007 and December 2010 and completed a 1-time 9-item Patient Health Questionnaire for depression categorized as: none to minimal (Patient Health Questionnaire score, 0-4), mild (5-9), or moderate to severe (≥10). Andersen- Gill models were used to determine whether depression predicted hospitalizations and emergency department visits, whereas negative binomial regression models explored the association of depression with outpatient visits. Cox proportional hazards regression characterized the relationship between depression and all-cause mortality. Among 402 patients with HF (mean age, 73±13 years; 58% men), 15% had moderate to severe depression, 26% mild, and 59% none to minimal depression. During a mean follow-up of 1.6 years, 781 hospitalizations, 1000 emergency department visits, 15 515 outpatient visits, and 74 deaths occurred. After adjustment, moderate to severe depression was associated with nearly a 2-fold increased risk of hospitalization (hazard ratio, 1.79; 95% confidence interval, 1.30-2.47) and emergency department visits (hazard ratio, 1.83; 95% confidence interval, 1.34-2.50), a modest increase in outpatient visits (rate ratio, 1.20; 95% confidence interval, 1.00.1.45), and a 4-fold increase in all-cause mortality (hazard ratio, 4.06; 95% confidence interval, 2.35-7.01). Conclusions.In this prospective cohort study, depression independently predicted an increase in the use of healthcare resources and mortality. Greater recognition and management of depression in HF may optimize clinical outcomes and resource utilization.

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KW - Depression

KW - Healthcare utilization

KW - Heart failure

KW - Psychosocial factors

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