The use of Grade of Membership analysis to evaluate and modify diagnosis-related groups

Different patterns of treatment response to Cognitive-Behavioural Therapy for Insomnia (CBT-I) in psychosis

People with psychosis benefit enormously from Cognitive Behavioural Therapy for Insomnia (CBTI), although some variability exists in treatment outcomes. While recent efforts have focused on profiling sleep at treatment initiation, an alternative methodological approach involves using treatment response as a starting point to better understand what constitutes an effective treatment. This study used Grade of Membership analysis (GoM) to estimate the occurrence of unique treatment outcomes and associated patient characteristics. Outcome measures included changes in sleep (self-reported latency, efficiency, duration, quality), functional outcomes (daytime dysfunction, negative mood, need for sleep medication) and treatment goal, collected in 50 individuals with a psychotic disorder and insomnia who underwent CBT-I treatment. Three distinct profiles were identified: (1) Strong responders, who met their treatment goals and showed broad improvements in both sleep and functional domains; (2) Partial responders, who showed sleep improvements (particularly in total sleep time), without noticeable gains in function, and who were predominantly female; and (3) Non-responders who showed little treatment response and failed to meet their treatment goals. This group was also more likely to have greater psychopathology (high levels of negative mood and psychotic symptoms, and antipsychotic medication dosage). These findings suggest that (i) CBT-I can serve to improve sleep and daytime function (although sleep can improve independently from function), (ii) client-elicited treatment goals are a key predictor of CBT-I response, (iii) other important variables associated with treatment response include sleep profile, clinical acuity, and sex.

Models for determining cost of care and length of stay in neonatal intensive care units

New models for determining the cost of care and length of stay in the neonatal intensive care unit (NICU) were developed using financial and clinical data from 588 admissions to our NICU. The model for determining costs explained 71% of the variability in total hospital costs. Models such as the ones developed in this study can be used to compare costs in different institutions, determine temporal trends in costs, and examine the financial impact of using new technologies. Such models can also be useful components of a rational prospective pricing system for the NICU.

Patient and physician characteristics affecting the choice of home based hospice, acute care inpatient hospice facility, or hospitals as last site of care for patients with cancer of the lung

In this exploratory study we found that in 1986, in Clark County, Nevada, home based hospice services were utilized at a very limited level for lung cancer patients. A nontraditional acute care hospice facility, however, was heavily utilized; but only slightly less so than community hospitals. Using death certificate and state cancer registry data, we explored several factors affecting these choices of sites of treatment of the last episode of illness. Among them were sociodemographic characteristics of patients, physicians' specialty, and volume of patients with terminal cancer of the lung. The findings and hypotheses lend support to further studies of the most cost effective last site of care for terminal lung cancer. The need for an ongoing examination of the impact of public policy on the definition of hospice and careful consideration of nontraditional models is indicated.

Analysis of diagnostic procedure costs for cerebrovascular disease admission to a highly specialized hospital

Length of stay and hospital costs for cerebrovascular disease admissions depend on several hospital-, patient- and disease-related factors. To determine the incidence of each of these factors we studied 240 admissions for cerebrovascular diseases in a neurology division and in two medical divisions of a highly specialized hospital. Statistical analysis of the data collected from the case records revealed the effect of several factors. Some increased only the length of stay (severe neurological sequels on discharge; stay in general medicine, diagnosis of hemorrhage, arterial hypertension). Others increased investigation costs (length of stay, marital status), and costs were higher in a specialists ward. Length of stay was shorter where the nurse/bed ratio was higher. Old age and male sex were associated with a lower cost of diagnostic procedures.