Predicting Hospitalization and Functional Decline in Older Health Plan Enrollees: Are Administrative Data as Accurate as Self-Report?

1998 ◽  
Vol 46 (4) ◽  
pp. 419-425 ◽  
Author(s):  
Eric A. Coleman ◽  
Edward H. Wagner ◽  
Louis C. Grothaus ◽  
Julia Hecht ◽  
James Savarino ◽  
...  
Keyword(s):  
Administrative Data ◽  
Health Plan ◽  
Functional Decline ◽  
Self Report

Using statewide administrative data and brief mental health screening to estimate the prevalence of mental illness among probationers

2018 ◽  
Vol 66 (2) ◽  
pp. 236-247 ◽  
Author(s):  
Tonya B. Van Deinse ◽  
Gary S. Cuddeback ◽  
Amy Blank Wilson ◽  
Michael Lambert ◽  
Daniel Edwards
Keyword(s):  
Mental Health ◽  
Administrative Data ◽  
Health Assessment ◽  
The United States ◽  
Mental Illnesses ◽  
Self Report ◽  
Community Supervision ◽  
Mental Health Assessment ◽  
Report Data ◽  
Self Report Data

There is little published information about the measures that probation agencies in the United States use to identify individuals with mental illnesses who are under community supervision. This study used statewide administrative data to estimate and compare the prevalence of mental illnesses among probationers using officer report and offender self-report data. Prevalence estimates of mental illnesses ranged from 15 percent to 19 percent, which is consistent with prior studies that used formal diagnostic assessments. In the absence of costly and time-consuming diagnostic assessments, probation agency-developed mental health scales can aid in identifying those who might be in need of additional mental health assessment.

Duration of work disability: A comparison of self-report and administrative data

2006 ◽  
Vol 49 (5) ◽  
pp. 394-401 ◽  
Author(s):  
Jason D. Pole ◽  
Renée-Louise Franche ◽  
Sheilah Hogg-Johnson ◽  
Marjan Vidmar ◽  
Niklas Krause
Keyword(s):  
Administrative Data ◽  
Work Disability ◽  
Self Report

scholarly journals Validity of the World Health Organization Adult ADHD Self-Report Scale (ASRS) Screener in a representative sample of health plan members

2007 ◽  
Vol 16 (2) ◽  
pp. 52-65 ◽  
Author(s):  
Ronald C. Kessler ◽  
Lenard A. Adler ◽  
Michael J. Gruber ◽  
Chaitanya A. Sarawate ◽  
Thomas Spencer ◽  
...  
Keyword(s):  
World Health Organization ◽  
Health Plan ◽  
Representative Sample ◽  
Adult Adhd ◽  
Self Report ◽  
World Health ◽  
The World ◽  
Health Organization

scholarly journals Age, gender, and residence differences in prevalence and patterns of multimorbidity among older Chinese: Evidence from Chinese Longitudinal Healthy Longevity Survey

2022 ◽  
Author(s):  
Siyue Han ◽  
Guangju Mo ◽  
Tianjing Gao ◽  
Qing Sun ◽  
Huaqing Liu ◽  
...  
Keyword(s):  
Older Adults ◽  
Chronic Diseases ◽  
Functional Decline ◽  
Self Report ◽  
Care Utilization ◽  
Rule Mining ◽  
Demographic Differences ◽  
Healthy Longevity ◽  
Older Chinese ◽  
Multimorbid Patients

Abstract Background With the dramatic acceleration of ageing in China, multimorbidity among the older adults has become increasingly common，which are associated with more functional decline and higher health care utilization and mortality. Understanding demographic differences of patterns of multimorbidity is in favor of making targeted intervention strategies. The purpose of this study was to reveal age- specific, gender- specific, and residence- specific prevalence and patterns of multimorbidity among older adults in China. Methods The present analysis is based on the 2018 wave of Chinese Longitudinal Health Longevity Survey (CLHLS). We selected 13 chronic diseases from the CLHLS survey, and information was collected based on self-report. Multimorbidity was defined as the coexistence of two or more chronic diseases from 13 chronic diseases in the same individual. Descriptive statistical analysis was used to examine multimorbidity according to age, sex, and residence. Patterns and trends of chronic disease pairs and multimorbidity were explored using association rule mining. Results 9,660 individuals aged 65-117 years in the CLHLS were analyzed in this study. Overall, 74.4% of all participants had one or more morbidities, and 42.4% were multimorbid. The prevalence of individual chronic diseases ranged from 1.5% for cancer to 41.8% for hypertension, and each disease was often accompanied by one or more other chronic diseases. The prevalence of multimorbidity does not always increase with age. The subgroups with the highest prevalence of multimorbidity was 80-89 years old (48.2%), female (45.0%) and urban (47.2%) group. Prevalence of the hypertension- diabetes pattern decreases with age and is higher in women than in men. The prevalence of hypertension- depression pattern was at the highest among the 90-117 years and rural older adults, while the other groups were hypertension-heart disease. Moreover, it was noteworthy that the multimorbidity rate of dyslipidemia is the highest at 95.5% among the 13 chronic diseases. Conclusions The prevalence of multimorbidity among older Chinese was substantial, and patterns of multimorbidity differed in age, sex, and residence. Future efforts are needed to identify possible prevention strategies and guidelines targeted demographic differences of multimorbid patients to promote health in older adults.

Assessment of psychosis in ASD/ID: a case study

2017 ◽  
Vol 11 (1) ◽  
pp. 17-23 ◽  
Author(s):  
Arvid Nikolai Kildahl ◽  
Trine Lise Bakken ◽  
Olaf Kristian Holm ◽  
Sissel Berge Helverschou
Keyword(s):  
Negative Symptoms ◽  
Single Case ◽  
Functional Decline ◽  
Autism Spectrum ◽  
Assessment Tools ◽  
Self Report ◽  
Psychotic Symptoms ◽  
Content Type ◽  
Diagnostic Decision Making

Purpose Assessment of psychiatric disorders in people with autism spectrum disorder (ASD) and intellectual disabilities (ID) is challenging. The purpose of this paper is to explore the diagnostic decision making and strategies employed in the assessment of a young man with ASD and ID who eventually got the additional diagnosis of schizophrenia. Design/methodology/approach To describe and explore a process not easily converted into quantitative measures, it was chosen to perform a case study of a single case. Findings The combined knowledge of ASD, ID and psychiatric disorder was important in the current assessment. General assessment tools were of some value, but their results had to be interpreted with care. The same was true of a more ASD/ID-specific tool. Using multiple informers may strengthen data from such tools in this population, but does not make it interchangeable with self-report. The case presented demonstrates the possibility of negative symptoms and functional decline overshadowing positive psychotic symptoms in people with ASD/ID, as well as the expression of ASD changing with a functional decline. Originality/value The present study adds to the few previous reports on identification of psychosis in this population, and in addition, may assist clinicians in making more accurate psychiatric assessments of people with ASD/ID.

scholarly journals Comparison of the estimated prevalence of mood and/or anxiety disorders in Canada between self-report and administrative data

2015 ◽  
Vol 25 (4) ◽  
pp. 360-369 ◽  
Author(s):  
S. O'Donnell ◽  
S. Vanderloo ◽  
L. McRae ◽  
J. Onysko ◽  
S. B. Patten ◽  
...  
Keyword(s):  
Mental Health ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Characteristics ◽  
Self Report ◽  
Data Sources ◽  
Prevalence Rates ◽  
Canadian Population ◽  
Prevalence Estimates ◽  
Over Time

Background.To compare trends in the estimated prevalence of mood and/or anxiety disorders identified from two data sources (self-report and administrative). Reviewing, synthesising and interpreting data from these two sources will help identify potential factors that underlie the observed estimates and inform public health action.Method.We used self-reported, diagnosed mood and/or anxiety disorder cases from the Canadian Community Health Survey (CCHS) across a 5-year span (from 2003 to 2009) to estimate the prevalence among the Canadian population aged ≥15 years. We also estimated the prevalence of mood and/or anxiety disorders using the Canadian Chronic Disease Surveillance System (CCDSS), which identified cases using ICD-9/-10-CA codes from physician billing claims and hospital discharge records during the same time period. The prevalence rates for mood and/or anxiety disorders were compared across the CCHS and CCDSS by age and sex for all available years of data from 2003 to 2009. Summary rates were age-standardised to the Canadian population as of 1 October 1991.Results.In 2009, the prevalence of mood and/or anxiety disorders was 9.4% using self-reported data v. 11.3% using administrative data. Prevalence rates obtained from administrative data were consistently higher than those from self-report for both men and women. However, due to an increase in the prevalence of self-reported cases, these differences decreased over time (rate ratios for both sexes: 1.6–1.2). Prevalence estimates were consistently higher among females compared with males irrespective of data source. While differences in the prevalence estimates between the two data sources were evident across all age groups, the reduction of these differences was greater among adolescent, young and middle-aged adults compared with those 70 years and older.Conclusions.The overall narrowing of differences over time reflects a convergence of information regarding the prevalence of mood and/or anxiety disorders trends between self-report and administrative data sources. While the administrative data-based prevalences remained relatively stable, the self-reported prevalences increased over time. These observations may reflect positive societal changes in the perceptions of mental health (declining stigma) and/or increasing mental health literacy. Additional research using non-ecological data is required to further our understanding of the observed findings and trends, including a data linkage exercise permitting a comparison of prevalence estimates and population characteristics from these two data sources both separately and merged.

scholarly journals Diagnosing Symptomatic HIV-Associated Neurocognitive Disorders: Self-Report Versus Performance-Based Assessment of Everyday Functioning

2011 ◽  
Vol 18 (1) ◽  
pp. 79-88 ◽  
Author(s):  
K. Blackstone ◽  
D.J. Moore ◽  
R.K. Heaton ◽  
D.R. Franklin ◽  
S.P. Woods ◽  
...  
Keyword(s):  
Depressive Symptoms ◽  
Functional Decline ◽  
Neurocognitive Disorders ◽  
Self Report ◽  
Dual Method ◽  
Everyday Functioning ◽  
Related Factors ◽  
Functionally Impaired ◽  
And Performance ◽  
Hiv Associated Neurocognitive Disorders

AbstractThree types of HIV-associated neurocognitive disorders (HAND) exist that are distinguished by presence and severity of impairment in cognitive and everyday functioning. Although well-validated neurocognitive measures exist, determining impairment in everyday functioning remains a challenge. We aim to determine whether Self-Report measures of everyday functioning are as effective in characterizing HAND as Performance-Based measures. We assessed 674 HIV-infected participants with a comprehensive neurocognitive battery; 233 met criteria for a HAND diagnosis by having at least mild neurocognitive impairment. Functional decline was measured via Self-Report and Performance-Based measures. HAND diagnoses were determined according to published criteria using three approaches to assess functional decline: (1) Self-Report measures only, (2) Performance-Based measures only, and (3) Dual-method combining Self-Report and Performance-Based measures. The Dual-method classified the most symptomatic HAND, compared to either singular method. Singular method classifications were 76% concordant with each other. Participants classified as Performance-Based functionally impaired were more likely to be unemployed and more immunosuppressed, whereas those classified as Self-Report functionally impaired had more depressive symptoms. Multimodal methods of assessing everyday functioning facilitate detection of symptomatic HAND. Singular Performance-Based classifications were associated with objective functional and disease-related factors; reliance on Self-Report classifications may be biased by depressive symptoms. (JINS, 2012, 18, 79–88)

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