Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
J Natl Cancer Inst ; 96(2): 148-52, 2004 Jan 21.
Article in English | MEDLINE | ID: mdl-14734705

ABSTRACT

Population laboratories with complete clinical information on episodes of care are needed to support research on the quality of care delivered to cancer patients. Data resources within the Cancer Research Network (CRN) may overcome many of the limitations of existing cancer databases, but their potential clinical value depends on the stability of the enrolled population. To assess this issue, we studied the retention rates among survivors of the 132 580 patients diagnosed with cancer from January 1, 1993, through December 31, 1998, who were enrolled at five health maintenance organization sites participating in the CRN. Enrollees were followed from cancer diagnosis through death, disenrollment, or the end of follow-up (i.e., December 31, 1999). The retention rate among survivors for all cancers combined at 1 and 5 years after cancer diagnosis was 96.0% (95% confidence interval [CI] = 95.9% to 96.1%) and 83.9% (95% CI = 83.4% to 84.3%), respectively. The proportion of enrollees diagnosed with cancer who remained enrolled and available for evaluation suggests that the CRN is well-suited for studies of the quality of care for cancer patients, survivorship, and long-term outcomes.


Subject(s)
Health Maintenance Organizations/statistics & numerical data , Neoplasms/diagnosis , Adolescent , Adult , Aged , Aged, 80 and over , California/epidemiology , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Multivariate Analysis , Oregon/epidemiology , Proportional Hazards Models , Registries/statistics & numerical data , SEER Program , Washington/epidemiology
2.
J Rheumatol ; 29(9): 1931-6, 2002 Sep.
Article in English | MEDLINE | ID: mdl-12233888

ABSTRACT

OBJECTIVE: To examine how estimates of osteoarthritis (OA) related health service utilization and medical care charges vary based on how the population of patients is defined, we compared a large cohort of patients identified through an administrative OA diagnosis relative to a subgroup of patients in whom this diagnosis had been validated through medical record review. METHODS: We identified all members (> or = 18 years of age) of a Massachusetts group model health maintenance organization (HMO) with documentation of at least one health care encounter associated with an OA diagnosis during the period 1994-96 (n = 10,740). From this population we randomly selected 700 subjects. Trained nurse reviewers abstracted relevant clinical, laboratory, and radiologic data from their medical records. Physician reviewers evaluated the abstracted information and rated the evidence for the presence of OA according to 3 levels (definite, possible, and unlikely). All persons rated by the physician reviewers as having definite OA were included in the validated subgroup (n = 442). Health service utilization and medical care charges were assessed in all persons with an administrative OA diagnosis who were not randomly sampled (n = 10,040) and the validated subgroup (n = 442) across the following domains: (1) ambulatory encounters associated with an OA diagnosis, (2) relevant radiographic studies, (3) relevant surgical procedures, and (4) relevant medication use. RESULTS: Those in the validated subgroup had higher rates of ambulatory OA associated health care encounters, radiographic studies, surgical procedures, and analgesic and/or antiinflammatory medication dispensings. Patients in the validated subgroup were significantly more likely to be in the highest quartile for total one year charges for the care of OA. CONCLUSION: Estimates of health service utilization are substantially higher for populations of patients in whom a diagnosis of OA has been validated through medical record review, as compared with unvalidated populations identified solely through diagnoses contained in administrative records. Thus using health service utilization estimates based on an unvalidated sample may lead to an inaccurate estimate when extrapolated to the overall population of patients with OA.


Subject(s)
Delivery of Health Care/statistics & numerical data , Health Maintenance Organizations/statistics & numerical data , Osteoarthritis/epidemiology , Osteoarthritis/therapy , Outcome Assessment, Health Care , Adult , Age Distribution , Aged , Aged, 80 and over , Chi-Square Distribution , Cohort Studies , Female , Health Care Costs , Health Care Surveys , Health Resources , Humans , Male , Massachusetts/epidemiology , Middle Aged , Osteoarthritis/diagnosis , Osteoarthritis/economics , Predictive Value of Tests , Prevalence , Registries , Sensitivity and Specificity , Severity of Illness Index , Sex Distribution , Treatment Outcome
SELECTION OF CITATIONS
SEARCH DETAIL
...