Dataset Information

Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study.

ABSTRACT:

Background

The interRAI suite of assessment instruments can provide valuable information to support person-specific care planning across the continuum of care. Comprehensive clinical information is collected with these instruments, including disease diagnoses. In Canada, interRAI data holdings represent some of the largest repositories of clinical information in the country for persons with neurological conditions. This study examined the accuracy of the diagnostic information captured by interRAI instruments designed for use in the home care, long-term care and mental health care settings as compared with national administrative databases.

Methods

The interRAI assessments were matched with an inpatient hospital record and emergency department (ED) visit record in the preceding 90 days. Diagnoses captured on the interRAI instruments were compared to those recorded in either administrative record for each individual. Diagnostic validity was examined through sensitivity, specificity and positive predictive value analysis for the following conditions: multiple sclerosis, epilepsy, Alzheimer's disease and other dementias, Parkinson's disease, traumatic brain injury, stroke, diabetes mellitus, heart failure and reactive airway disease.

Results

In the three large study samples (home care: n?=?128,448; long-term care: n?=?26,644; mental health: n?=?13,812), interRAI diagnoses demonstrated high specificity when compared to administrative records, for both neurological conditions (range 0.80-1.00) and comparative chronic diseases (range 0.83-1.00). Sensitivity and positive predictive values (PPV) were more varied by specific diagnosis, with sensitivities and PPV for neurological conditions ranging from 0.23 to 0.94 and 0.14 to 0.77, respectively. The interRAI assessments routinely captured more cases of the diagnoses of interest than the administrative records.

Conclusions

The interRAI assessment collected accurate information about disease diagnoses when compared to administrative records within three months. Such information is likely relevant to day-to-day care in these three environments and can be used to inform care planning and resource allocation decisions.

SUBMITTER: Foebel AD

PROVIDER: S-EPMC3893477 | biostudies-literature | 2013 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study.

Foebel Andrea D AD Hirdes John P JP Heckman George A GA Kergoat Marie-Jeanne MJ Patten Scott S Marrie Ruth Ann RA

BMC health services research 20131101

<h4>Background</h4>The interRAI suite of assessment instruments can provide valuable information to support person-specific care planning across the continuum of care. Comprehensive clinical information is collected with these instruments, including disease diagnoses. In Canada, interRAI data holdings represent some of the largest repositories of clinical information in the country for persons with neurological conditions. This study examined the accuracy of the diagnostic information captured b ...[more]

PMID: 24176093

Similar Datasets

Project description:BackgroundAlthough multiple studies have estimated the prevalence of neurological conditions in the general Canadian population, limited research exists regarding the proportion affected with these conditions in non-acute health care settings in Canada. Data from standardized clinical assessments based on the interRAI suite of instruments were used to estimate the prevalence of eight neurological conditions across the continuum of care including Alzheimer's disease, Parkinson's disease, epilepsy, traumatic brain injury, multiple sclerosis, cerebral palsy, Huntington's disease, and amyotrophic lateral sclerosis.MethodsCohorts of individuals receiving care in nursing homes (N=103,820), home care (N=91,021), complex continuing care (N=10,581), and psychiatric hospitals (N=23,119) in Canada were drawn based on their most recent interRAI assessment within each sector for a six-month period in 2010. These data were linked to the Discharge Abstract Database and National Ambulatory Care Reporting System data sets to develop five different case definition scenarios for estimating prevalence.ResultsThe conditions with the highest estimated prevalences in these care settings in Canada were Alzheimer's disease and related dementias, Parkinson's disease, epilepsy, and traumatic brain injury. However, there were notable cross-sector differences in the prevalence of each condition, and regional variations. Prevalence estimates based on acute hospital administrative data alone were substantially lower for all conditions evaluated.ConclusionsThe proportion of persons with neurological conditions in non-acute health care settings in Canada is substantially higher than is generally reported for the general population. It is essential for these care settings to have the expertise and resources to respond effectively to the strengths, preferences, and needs of the growing population of persons with neurological conditions. The use of hospital or emergency department records alone is likely to substantially underestimate the true prevalence of neurological conditions across the continuum of care. However, interRAI assessment records provide a helpful source of information for obtaining these estimates in nursing home, home care, and mental health settings.

Project description:IMPORTANCE:While the number of prescribing clinicians (physicians and nurse practitioners) who provide any nursing home care remained stable over the past decade, the number of clinicians who focus their practice exclusively on nursing home care has increased by over 30%. OBJECTIVES:To measure the association between regional trends in clinician specialization in nursing home care and nursing home quality. DESIGN:Retrospective cross-sectional study. SETTING AND PARTICIPANTS:Patients treated in 15,636 nursing homes in 305 US hospital referral regions between 2013 and 2016. MEASURES:Clinician specialization in nursing home care for 2012-2015 was measured using Medicare fee-for-service billings. Nursing home specialists were defined as generalist physicians (internal medicine, family medicine, geriatrics, and general practice) or advanced practitioners (nurse practitioners and physician assistants) with at least 90% of their billings for care in nursing homes. The number of clinicians was aggregated at the hospital referral region level and divided by the number of occupied Medicare-certified nursing home beds. Nursing Home Compare quality measure scores for 2013-2016 were aggregated at the HHR level, weighted by occupied beds in each nursing home in the hospital referral region. We measured the association between the number of nursing home specialists per 1000 beds and the clinical quality measure scores in the subsequent year using linear regression. RESULTS:An increase in nursing home specialists per 1000 occupied beds in a region was associated with lower use of long-stay antipsychotic medications and indwelling bladder catheters, higher prevalence of depressive symptoms, and was not associated with urinary tract infections, use of restraints, or short-stay antipsychotic use. CONCLUSIONS AND IMPLICATIONS:Higher prevalence of nursing home specialists was associated with regional improvements in 2 of 6 quality measures. Future studies should evaluate whether concentrating patient care among clinicians who specialize in nursing home practice improves outcomes for individual patients. The current findings suggest that prescribing clinicians play an important role in nursing home care quality.

Dataset Information

Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study.

Background

Methods

Results

Conclusions

Publications

Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets