Biomedical subjects

K Mukamal

Publications and source records attributed to K Mukamal.

5 recordsLinked to original sources

PubMed2001

Successful aging.

OBJECTIVE: Until now, prospective studies of aging have begun with 50-60-year-olds, not adolescents. Premature death, childhood variables, and alcohol abuse have been often ignored, as has successful aging. METHOD: The authors reviewed the existing literature on health in late life in order to highlight that, increasingly, successful aging is not an oxymoron. The present study followed two cohorts of adolescent boys (237 college students and 332 core-city youth) for 60 years or until death. Complete physical examinations were obtained every 5 years and psychosocial data every 2 years. Predictor variables assessed before age 50 included six variables reflecting uncontrollable factors: parental social class, family cohesion, major depression, ancestral longevity, childhood temperament, and physical health at age 50 and seven variables reflecting (at least some) personal control: alcohol abuse, smoking, marital stability, exercise, body mass index, coping mechanisms, and education. The six outcome variables chosen to assess successful aging at age 70-80 included four objectively assessed variables (physical health, death and disability before age 80, social supports, and mental health) and two self-rated variables (instrumental activities of daily living and life enjoyment). RESULTS: Multivariate analysis suggested that "good" and "bad" aging from age 70-80 could be predicted by variables assessed before age 50. More hopeful still, if the seven variables under some personal control were controlled, depression was the only uncontrollable predictor variable that affected the quality of subjective and objective aging. CONCLUSIONS: One may have greater personal control over one's biopsychosocial health after retirement than previously recognized.

Adolescent↗

PubMed2000

Use of administrative data to find substandard care: validation of the complications screening program.

OBJECTIVE: The use of administrative data to identify inpatient complications is technically feasible and inexpensive but unproven as a quality measure. Our objective was to validate whether a screening method that uses data from standard hospital discharge abstracts identifies complications of care and potential quality problems. DESIGN: This was a case-control study with structured implicit physician reviews. SETTING: Acute-care hospitals in California and Connecticut in 1994. PATIENTS: The study included 1,025 Medicare beneficiaries greater than 265 years of age. METHODS: Using administrative data, we stratified acute-care hospitals by observed-to-expected complication rates and randomly selected hospitals within each state. We randomly selected cases flagged with 1 of 17 surgical complications and 6 medical complications. We randomly selected controls from unflagged cases. MAIN OUTCOME MEASURE: Peer-review organization physicians' judgments about the presence of the flagged complication and potential quality-of-care problems. RESULTS: Physicians confirmed flagged complications in 68.4% of surgical and 27.2% of medical cases. They identified potential quality problems in 29.5% of flagged surgical and 15.7% of medical cases but in only 2.1% of surgical and medical controls. The rate of physician-identified potential quality problems among flagged cases exceeded 25% in 9 surgical screens and 1 medical screen. Reviewers noted several potentially mitigating circumstances that affected their judgments about quality, including factors related to the patients' illness, the complexity of the case, and technical difficulties that clinicians encountered. CONCLUSIONS: For some types of complications, screening administrative data may offer an efficient approach for identifying potentially problematic cases for physician review. Understanding the basis for physicians' judgments about quality requires more investigation.

Aged↗

PubMed2000

Does clinical evidence support ICD-9-CM diagnosis coding of complications?

BACKGROUND: Hospital discharge diagnoses, coded by use of the International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM), increasingly determine reimbursement and support quality monitoring. Prior studies of coding validity have investigated whether coding guidelines were met, not whether the clinical condition was actually present. OBJECTIVE: To determine whether clinical evidence in medical records confirms selected ICD-9-CM discharge diagnoses coded by hospitals. RESEARCH DESIGN AND SUBJECTS: Retrospective record review of 485 randomly sampled 1994 hospitalizations of elderly Medicare beneficiaries in Califomia and Connecticut. MAIN OUTCOME MEASURE: Proportion of patients with specified ICD-9-CM codes representing potential complications who had clinical evidence confirming the coded condition. RESULTS: Clinical evidence supported most postoperative acute myocardial infarction diagnoses, but fewer than 60% of other diagnoses had confirmatory clinical evidence by explicit clinical criteria; 30% of medical and 19% of surgical patients lacked objective confirmatory evidence in the medical record. Across 11 surgical and 2 medical complications, objective clinical criteria or physicians' notes supported the coded diagnosis in >90% of patients for 2 complications, 80% to 90% of patients for 4 complications, 70% to <80% of patients for 5 complications, and <70% for 2 complications. For some complications (postoperative pneumonia, aspiration pneumonia, and hemorrhage or hematoma), a large fraction of patients had only a physician's note reporting the complication. CONCLUSIONS: Our findings raise questions about whether the clinical conditions represented by ICD-9-CM codes used by the Complications Screening Program were in fact always present. These findings highlight concerns about the clinical validity of using ICD-9-CM codes for quality monitoring.

Aged↗

PubMed1999

Does the Complications Screening Program flag cases with process of care problems? Using explicit criteria to judge processes.

BACKGROUND: The Complications Screening Program (CSP) aims to identify 28 potentially preventable complications of hospital care using computerized discharge abstracts, including demographic information, diagnosis and procedure codes. OBJECTIVE: To validate the CSP as a quality indicator by using explicit process of care criteria to determine whether hospital discharges flagged by the CSP experienced more process problems than unflagged discharges. METHODS: The (CSP was applied to computerized hospital discharge abstracts from Mledicare beneficiaries > 65 years old admitted in 1994 to hospitals in California and Connecticut for major surgery or medical treatment. ()f 28 CSP complications, 17 occurred sufficient frequently to study. Discharges flagged (cases) and unflagged (controls) by the (CSP were sampled and photocopied medical records were obtained. Physicians specified detailed, objective, explicit criteria, itemizing 'key steps' in processes of care that could potentially have prevented or caused complications. Trained nurses abstracted medical records using these explicit criteria. Process problem rates between cases and controls were compared. RESULTS: The final sample included 740 surgical and 416 medical discharges. Rates of process problems were high, ranging from 24.4 to 82.5% across CSP screens for surgical cases. Problems were lower for medical cases, ranging from 2.0 to 69.1% across CSP screens. Problem rates were 45.7% for surgical and 5.0% for medical controls. Rates of problems did not differ significantly across flagged and unflagged discharges. CONCLUSIONS: The CSP did not flag discharges with significantly higher rates of explicit process problems than unflagged discharges. Various initiatives throughout the USA use techniques similar to the CSP to identify complications of care. Based on these CSP findings, such approaches should be evaluated cautiously.

Aged↗

PubMed1998

Are social supports in late midlife a cause or a result of successful physical ageing?

BACKGROUND: Many studies have noted a strong association between poor social support and premature mortality. A limitation of such studies has been their failure to control adequately for confounders that damage both social supports and physical health. METHODS: A 50-year prospective multivariate study of 223 men was used to examine the possible causal relationships between social supports and health. Alcohol abuse, prior physical health and mental illness prior to age 50 were controlled. Relative social supports were quantified over the period from age 50 to 70. RESULTS: Adequacy of social supports from age 50 to 70 was powerfully correlated with physical health at age 70 (P < 0.001). However, such social supports were also powerfully predicted by alcohol abuse (P < 0.001), smoking (P < 0.001) and indicators of major depressive disorder (P < 0.01) assessed at age 50. When prior smoking, depression and alcohol abuse were controlled, then the association of physical health with social supports was very much attenuated. Some facets of social support like religion and confidantes were unassociated with health even at a univariate level. Surprisingly, in this sample friends seemed more important for sustained physical health than closeness to spouse and to children. CONCLUSIONS: While social supports undoubtedly play a significant role in maintaining physical well-being in late life, much of the association between poor social supports and mortality may be mediated by alcoholism, smoking and pre-morbid psychopathology.

Activities of Daily Living↗