Hypoglycemia from glipizide and glyburide.
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Biomedical subjects
Publications and source records attributed to R Bernabei.
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OBJECTIVE: To evaluate the impact of a programme of integrated social and medical care among frail elderly people living in the community. DESIGN: Randomised study with 1 year follow up. SETTING: Town in northern Italy (Rovereto). SUBJECTS: 200 older people already receiving conventional community care services. INTERVENTION: Random allocation to an intervention group receiving integrated social and medical care and case management or to a control group receiving conventional care. MAIN OUTCOME MEASURES: Admission to an institution, use and costs of health services, variations in functional status. RESULTS: Survival analysis showed that admission to hospital or nursing home in the intervention group occurred later and was less common than in controls (hazard ratio 0.69; 95% confidence interval 0.53 to 0.91). Health services were used to the same extent, but control subjects received more frequent home visits by general practitioners. In the intervention group the estimated financial savings were in the order of 1125 ($1800) per year of follow up. The intervention group had improved physical function (activities of daily living score improved by 5.1% v 13.0% loss in controls; P<0.001). Decline of cognitive status (measured by the short portable mental status questionnaire) was also reduced (3.8% v 9.4%; P<0.05). CONCLUSION: Integrated social and medical care with case management programmes may provide a cost effective approach to reduce admission to institutions and functional decline in older people living in the community.
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OBJECTIVES: The Health Care Financing Administration requires that patients admitted to certified nursing homes be assessed with the Minimum Data Set, a data collection instrument containing more than 300 demographic, diagnostic, clinical, and treatment variables. Long-term care databases potentially may be used to assess the outcomes of specific treatments as well as drug effectiveness. The authors sought to ascertain reliability and validity of diagnostic and drug data in a database obtained by merging the Minimum Data Set with detailed information on drugs consumed by each resident. METHODS: A population of 296,379 residents of 1,492 nursing homes in Kansas, Maine, Mississippi, New York, and South Dakota participated in the study between 1992 and 1994. Minimum Data Set clinical diagnoses were contrasted with selected resident characteristics and a variety of symptoms and treatments. Limited to individuals who had been hospitalized in the 6 months preceding the first assessment, Minimum Data Set diagnoses were compared with those on the hospital discharge claims maintained in the Medicare Provider Analysis and Review database. Finally, the probability that the use of selected drugs predicted the correspondent gender-specific, age-specific, or unique labeled indication was estimated. RESULTS: The positive predictive value for Minimum Data Set diagnoses compared with gender or function measures exceeded 0.9, and it was 0.8 for specific symptoms and 0.6 for virtually all other comparisons. The positive predictive value for Minimum Data Set diagnoses compared with those from hospital claims was approximately 0.7 for all chronic medical conditions, except for depression and asthma/chronic obstructive pulmonary disease/emphysema. The positive predictive value for acute/subacute diagnoses (ie, pneumonia, urinary tract infection, anemia) that may resolve during hospital stay was less than 0.5. The positive predictive value for selected drugs, except estrogens, compared with age and gender was close to 1.0 in all cases. When compared to their labeled indication, the positive predictive value was more than 0.6 for all drugs considered, with 0.97, 0.91, and 0.87 for tacrine and Alzheimer's disease, antidiabetics and diabetes mellitus, and L-dopa and Parkinson's disease, respectively. CONCLUSIONS: These findings point to the overall validity of the drug and clinical data in this Minimum Data Set-based data set. Additional validation efforts will determine whether this data set can be used for studies of geriatric pharmacoepidemiology and for analyses of the influence of different policies and practices on residents' outcomes.
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BACKGROUND: this paper provides an overview of the Minimum Data Set/Resident Assessment Instrument (MDS/RAI) training programmes in eight countries where the system has been introduced into nursing homes. Formal education and training in the skills of assessment and care planning of nursing home personnel is reputed to be poor. In response to this problem several researchers and clinicians view MDS/RAI implementation as an opportunity to upgrade staff knowledge in care of elderly people. RESULTS: the courses in the eight countries varied in content and length according to the different goals each interRAI researcher planned when the MDS/RAI was implemented. As expected the greatest differences in training approach were between the USA and other countries. In the USA, where the MDS/RAI was mandated for use in all nursing homes, tens of thousands of professionals had to be oriented to use the system in a relatively short period of time in order to comply with the law. The training programmes therefore tended to be very short compared with those that emerged in countries where the MDS/RAI was freely chosen and implemented.