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OBJECTIVE: To determine whether rapid administration of a crystalloid bolus of 30 mL/kg within 3 hours of presentation harms or benefits hypotensive patients with sepsis with a history of congestive heart failure (CHF). PATIENTS AND METHODS: A retrospective cohort study using Medicare claims data enhanced by medical record data from members of the High Value Healthcare Collaborative from July 1, 2013, to June 30, 2015, examining patients with a history of CHF who did (fluid bundle compliant [FBC]) or did not (NFBC) receive a volume bolus of 30 mL/kg within 3 hours of presentation to the emergency department. A proportional Cox hazard model was used to evaluate the association of FBC with 1-year survival. RESULTS: Of the 211 patients examined, 190 were FBC and 21 were NFBC. The FBC patients had higher average hierarchical condition category scores but were otherwise similar to NFBC patients. The NFBC patients had higher adjusted in-hospital and postdischarge mortality rates. The risk-adjusted 1-year mortality rate was higher for NFBC patients (hazard ratio, 2.18; 95% CI, 1.2 to 4.0; P=.01) than for FBC patients. CONCLUSION: In a retrospective claim data-based study of elderly patients with a history of CHF presenting with severe sepsis or septic shock, there is an association of improved mortality with adherence to the initial fluid resuscitation guidelines as part of the 3-hour sepsis bundle.

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OBJECTIVE: Contrast methods to assess the health effects of a treatment rate change when treatment benefits are heterogeneous across patients. Antibiotic prescribing for children with otitis media (OM) in Iowa Medicaid is the empirical example. METHODS: Instrumental variable (IV) and linear probability model (LPM) are used to estimate the effect of antibiotic treatments on cure probabilities for children with OM in Iowa Medicaid. Local area physician supply per capita is the instrument in the IV models. Estimates are contrasted in terms of their ability to make inferences for patients whose treatment choices may be affected by a change in population treatment rates. RESULTS: The instrument was positively related to the probability of being prescribed an antibiotic. LPM estimates showed a positive effect of antibiotics on OM patient cure probability while IV estimates showed no relationship between antibiotics and patient cure probability. CONCLUSIONS: Linear probability model estimation yields the average effects of the treatment on patients that were treated. IV estimation yields the average effects for patients whose treatment choices were affected by the instrument. As antibiotic treatment effects are heterogeneous across OM patients, our estimates from these approaches are aligned with clinical evidence and theory. The average estimate for treated patients (higher severity) from the LPM model is greater than estimates for patients whose treatment choices are affected by the instrument (lower severity) from the IV models. Based on our IV estimates it appears that lowering antibiotic use in OM patients in Iowa Medicaid did not result in lost cures.

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OBJECTIVE: To test the effect of pharmaceutical case management (PCM) on medication safety and health care utilization. DESIGN: Prospective cohort design with 9-month follow-up period (enrollment from October 1, 2000, through July 1, 2001, with follow-up through July 1, 2002). SETTING: Iowa Medicaid program. PARTICIPANTS: 2,211 noninstitutionalized, continuously eligible Iowa Medicaid patients taking four or more chronic medications including at least one agent commonly used in at least 1 of 12 specific diseases who were cared for by pharmacists in 117 pharmacies. INTERVENTIONS: Reimbursement for PCM services (initial patient assessment, written recommendations to physician, follow-up assessments and communication of progress and new problems to physician). MAIN OUTCOME MEASURES: Use of high-risk medications, Medication Appropriateness Index (MAI) score, health care utilization. RESULTS: Pharmacists in 114 pharmacies had eligible patients during at least one quarter during the study period; 28 pharmacies were classified as high intensity based on the number of PCM patients they managed. A total of 524 of the eligible patients received 1,599 PCM services; 90% of claims were filed by pharmacists, and the remainder by physicians. Nearly one half (46.1%) of medications and 92.1% of patients had at least one medication problem before PCM. By closeout, the percentage of medications with problems decreased in 8 of 10 MAI domains for those who received PCM. Compared with baseline, mean MAI score improved significantly from 9.4 to 8.3 among PCM recipients (P < .001). Percentage of PCM recipients using high-risk medications decreased significantly compared with PCM eligibles who did not receive the service. In the 28 pharmacies that adopted the new service most intensely, patients had a significant decrease in high-risk medication use, compared with patients of low-intensity pharmacies (P < .001). No difference was observed between PCM recipients and PCM eligibles who did not receive PCM in health care utilization or charges, even after including reimbursements for PCM. CONCLUSION: Medication safety problems were prevalent in this high-risk population. The PCM program improved medication safety during a 9-month follow-up period.

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