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  4. Identifying neuropsychiatric disorders in the Medicare Current Beneficiary Survey: the benefits of combining health survey and claims data

Identifying neuropsychiatric disorders in the Medicare Current Beneficiary Survey: the benefits of combining health survey and claims data

BMC Health Services Research, 2016 · DOI: 10.1186/s12913-016-1774-y · Published: September 20, 2016

HealthcareMental Health

Simple Explanation

The study examines how using both health survey data and Medicare claims data improves the identification of people with neuropsychiatric disorders, compared to using either data source alone. People with cognitive issues might not accurately report their conditions, and administrative data might miss some cases. Combining these sources gives a more complete picture. The findings show that using both survey and claims data identifies a larger proportion of individuals with neuropsychiatric disorders than either source alone, especially for conditions causing cognitive impairment.

Study Duration
Not specified
Participants
14,672 Medicare beneficiaries
Evidence Level
Not specified

Key Findings

  • 1
    Combining health survey and claims data increased the estimated proportion of the sample with neuropsychiatric disorders to 50.0 %, compared to 38.9 % with health survey only and 33.2 % with claims only.
  • 2
    The largest relative increases in diagnosis proportion were seen for the facility sample, particularly for intellectual/developmental disorders and stroke.
  • 3
    Only 44.1 % of potential neuropsychiatric disorder cases were identified by both claims and health survey, highlighting the importance of using both sources.

Research Summary

The study aimed to compare the prevalence of neuropsychiatric disorders using health survey information only, claims only, and health survey plus claims information in the Medicare population. The results indicated that augmenting health survey data with claims data led to a significant increase in the estimated percentage of individuals identified with neuropsychiatric disorders. The authors conclude that combining survey data with claims data is essential, especially for estimating the proportion of the sample affected by conditions that cause cognitive impairment.

Practical Implications

Improved Prevalence Estimates

Combining data sources leads to more accurate estimates of neuropsychiatric disorder prevalence in the Medicare population.

Targeted Interventions

Better identification of affected individuals can facilitate more effective interventions and resource allocation.

Policy Implications

Accurate cost estimates based on combined data can inform better healthcare policies for the Medicare population.

Study Limitations

  • 1
    The major limitation of this study is the absence of a “gold standard” with which to compare our combined measure.
  • 2
    Claims tend to have much lower sensitivity than specificity [2, 27].
  • 3
    The study was performed in a US dataset and a US population-based sample representative of the US Medicare population.

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