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D K Blough

Publications and source records attributed to D K Blough.

7 recordsLinked to original sources

Inpatient costs, length of stay, and mortality for cerebrovascular events in community hospitals.

BACKGROUND: Accurate estimates of inpatient cost, length of stay (LOS), and mortality are necessary for the development of economic models to estimate the cost-effectiveness of stroke-related treatments. Estimates based on data from academic institutions may not be generalizable to community hospitals. In this study, the authors estimated inpatient costs, LOS, and in-hospital mortality for patients with subarachnoid hemorrhage (SAH), intracerebral hemorrhage (ICH), ischemic cerebral infarction (ICI), and TIA who were treated in community hospitals. METHODS: The authors selected patients using International Classification of Diseases-9-Clinical Modification primary diagnosis codes from the HBSI EXPLORE database. They analyzed patient-level data and inpatient costs, derived from detailed utilization data, for all patients admitted to 137 community hospitals in 1998. Multivariate statistical techniques were used to examine patient-, hospital-, and outcome-related factors associated with inpatient costs. RESULTS: Patients with SAH incurred the highest average cost ($23,777, n = 1,124), followed by patients with ICH ($10,241, n = 3,139), ICI ($5,837, n = 18,740), and TIA ($3,350, n = 7,861). Patient subgroups ranked in the same order for average LOS at 11.5 days for SAH, 7.5 days for ICH, 5.9 days for ICI, and 3.4 days for TIA. Almost one third of patients with SAH (29.0%) and ICH (33.1%) died during hospitalization, whereas 7.0% with ICI and 0.2% with TIA died. For each event, as patient age increased, average costs consistently decreased. Also, average costs were higher among patients treated in community teaching hospitals compared to community nonteaching hospitals for each cerebrovascular event (10 to 29%). CONCLUSIONS: Inpatient costs, LOS, and mortality for patients with cerebrovascular disease are dependent on patient and hospital characteristics.

Aged↗

Treatment with tissue plasminogen activator and inpatient mortality rates for patients with ischemic stroke treated in community hospitals.

BACKGROUND AND PURPOSE: Most analyses of intravenous tissue plasminogen activator (IV tPA) use for acute stroke in routine practice have been limited by sample size and generally restricted to patients treated in large academic medical facilities. In the present study, we sought to estimate among community hospitals the use of IV tPA and to identify factors associated with the use of IV tPA and inpatient mortality. METHODS: We evaluated a retrospective cohort of 23 058 patients with ischemic stroke from 137 community hospitals. RESULTS: Three hundred sixty-two (1.6%) patients were treated with IV tPA, and 9.9% of those patients died during the hospitalization period. In 35.0% of the hospitals, no patients were treated with IV tPA, whereas 14.6% of hospitals treated approximately 3.0% with IV tPA. After control for multiple factors, younger patients, more severely ill patients (OR 2.02, 95% CI 1.36 to 3.01), and patients treated in rural hospitals (OR 1.80, 95% CI 0.99 to 3.26) were more likely to receive IV tPA, whereas black patients were less likely (OR 0.54, 95% CI 0.31 to 0.95). There also was a trend showing that women were less likely to receive IV tPA (OR 0.84, 95% CI 0.69 to 1.03). Factors associated with an increased odds of inpatient mortality included receipt of IV tPA among men (OR 2.81, 95% CI 1.72 to 4.58) and increased age. Black patients were 27% less likely to die during hospitalization (95% CI 0.60 to 0.90). CONCLUSIONS: In this large, retrospective evaluation of community hospital practice, the use IV tPA and inpatient mortality rates among IV tPA-treated patients were consistent with those of other studies. The likelihood of receiving IV tPA varies by race, age, disease severity, and possibly gender. These factors may influence mortality rates.

Aged↗

Lack of gender differences and large intrasubject variability in cytochrome P450 activity measured by phenotyping with dextromethorphan.

Gender-based differences in cytochrome P450 (CYP) activity may occur due to endogenous hormonal fluctuations with the menstrual cycle, which are altered by oral contraceptives. This study assessed the average activity and within-subject variability in CYP3A4 and CYP2D6 in men, women taking Triphasil, and regularly menstruating women not receiving oral contraceptives. Thirty-three healthy volunteers participated in this 28-day pilot study (12 women receiving Triphasil) (OCs), 11 regularly menstruating women not on exogenous progesterone or estrogen (no OCs), and 10 men. CYP3A4 and CYP2D6 activities were phenotyped with dextromethorphan (DM) on study days 7, 14, 21, and 28 using urinary ratios of DM:3-methoxymorphinan (3MM) and DM:dextrorphan (DX), respectively. Serial blood concentrations of estrogen and progesterone and menstrual diaries were used to determine menstrual phase in both groups of women. Average urinary DM:3MM and DM:DX in the 28 extensive metabolizers of CYP2D6 did not differ between the three study populations (p = 0.86 and 0.93, respectively). Post hoc power analysis indicated that more than 1000 subjects would be needed for 80% power (alpha = 0.05) to detect a +/- 15% difference from the population mean in the urinary ratios of dextromethorphan and its metabolites 3MM and DX. Variability in CYP3A4 and CYP2D6 activity, characterized by intrasubject standard deviation, also did not differ. The varying doses of levonorgesterol and ethinyl estradiol in Triphasil, fluctuations in estrogen and progesterone, and menstrual phase did not influence CYP3A4 or CYP2D6 activity. It was concluded that CYP3A4 and CYP2D6 activity and intrasubject variability were not different in the three study populations, and thus a clinically important difference between men, women on Triphasil, and women not receiving oral contraceptives is unlikely. High inter- and intrasubject variability in DM:3MM and DM:DX were clearly demonstrated and limit the use of dextromethorphan to phenotype endogenous CYP3A4 and CYP2D6 activity.

Adult↗

Medication adherence in elderly patients receiving home health services following hospital discharge.

OBJECTIVE: To assess prevalence and risk factors for medication under- and overadherence in a two-week period following hospital discharge in adults > or = 65 years. DESIGN: Prospective, cohort study. SETTING: Three home healthcare agencies in Madison, Wisconsin, and surrounding vicinity. PARTICIPANTS: One hundred forty-seven older participants taking three or more medications who were hospitalized for medical illness, received home nursing after discharge, and completed the two-week interview. MEASUREMENTS: The main outcome measures were having at least one medication with less than 70% adherence (underadherence) and having at least one medication with more than 120% adherence (overadherence) based on pill counts. RESULTS: Forty-five (30.6%) participants were underadherent and 27 (18.4%) participants were overadherent with at least one medication> In a multivariate model, underadherence was predicted by poor cognition (OR 2.5; 95% CI 1.02 to 6.10) and higher medication use (OR 1.16; 95% CI 1.03 to 1.31, for each 1-unit increase in number of medications). Both poor cognition and low education were significantly associated with overadherence in univariate analysis; however, neither variable was significant once included in the multivariate model. CONCLUSIONS: Under- and overadherence to medications is common after hospital discharge. Poor cognition and a greater number of medications were associated with underadherence. Poor and lower education were markers for overadherence; however, further study is needed to determined whether these are independent predictors. Patients who have impaired cognition or are taking a greater number of medications after hospitalization may benefit from targeted interventions to monitor and improve medication compliance.

Activities of Daily Living↗

The medical cost of undiagnosed sleep apnea.

Obstructive sleep apnea is an under-diagnosed, but common disorder with serious adverse consequences. Cost data from the year prior to the diagnosis of sleep-disordered breathing in a consecutive series of 238 cases were used to estimate the potential medical cost of undiagnosed sleep apnea and to determine the relationship between the severity of sleep-disordered breathing and the magnitude of medical costs. Among cases, mean annual medical cost prior to diagnosis was $2720 versus $1384 for age and gender matched controls (p<0.01). Regression analysis showed that the reciprocal of the apnea hypopnea index among cases was significantly related to log-transformed annual medical costs after adjusting for age, gender, and body mass index (p<0.05). We conclude that patients with undiagnosed sleep apnea had considerably higher medical costs than age and sex matched individuals and that the severity of sleep-disordered breathing was associated with the magnitude of medical costs. Using available data on the prevalence of undiagnosed moderate to severe sleep apnea in middle-aged adults, we estimate that untreated sleep apnea may cause $3.4 billion in additional medical costs in the U.S. Whether medical cost savings occur with treatment of sleep apnea remains to be determined.

Adult↗

Modeling risk using generalized linear models.

Traditionally, linear regression has been the technique of choice for predicting medical risk. This paper presents a new approach to modeling the second part of two-part models utilizing extensions of the generalized linear model. The primary method of estimation for this model is maximum likelihood. This method as well as the generalizations quasi-likelihood and extended quasi-likelihood are discussed. An example using medical expense data from Washington State employees is used to illustrate the methods. The model includes demographic variables as well as an Ambulatory. Care Group variable to account for prior health status.

Adolescent↗

Adverse drug events in elderly patients receiving home health services following hospital discharge.

OBJECTIVE: To assess incidence, healthcare consequences, and identify risk factors for adverse drug events (ADEs) in elderly patients receiving home health services during the month following hospital discharge. METHOD: This was a prospective cohort study of three home health agencies in Madison, Wisconsin, and its surrounding area. The sample consisted of 256 participants aged > or =65 years who were hospitalized for medical illness, received home nursing after discharge, and completed the one-month interview. The main outcome measure was self-reported ADEs (possible, probable, or definite) during the month following hospital discharge. RESULTS: Incidence of ADEs was 20%. Fifty-two participants (20.3%) reported 64 ADEs: 23 possible, 37 probable, and four definite. The most common ADEs involved the gastrointestinal tract (31.3%) and the central nervous system (31.3%). Of 53 ADEs reported to providers, 59% of the drugs were discontinued or altered. One ADE resulted in hospitalization. In logistic regression, female gender (OR = 2.26; 95% CI 1.06 to 4.77) and the interaction between number of new medications and cognition were significantly associated with ADEs. The risk of an event increased with the number of new medications at discharge; however, risk was elevated primarily for participants with lower cognition. CONCLUSIONS: ADEs were common during the month following hospital discharge, were more frequent in women, and often resulted in medication changes. Individuals at particular risk were those with lower cognition who were discharged with several new medications.

Aged↗