A quality improvement initiative to implement the eat, sleep, console neonatal opioid withdrawal syndrome care tool in Massachusetts' PNQIN collaborative.

OBJECTIVE: To support hospitals in the Massachusetts PNQIN collaborative with adoption of the ESC Neonatal Opioid Withdrawal Syndrome (NOWS) Care Tool© and assess NOWS hospitalization outcomes. STUDY DESIGN: Statewide QI study where 11 hospitals adopted the ESC NOWS Care Tool©. Outcomes of pharmacotherapy and length of hospital stay (LOS) and were compared in Pre- and Post-ESC implementation cohorts. Statistical Process Control (SPC) charts were used to examine changes over time. RESULTS: The Post-ESC group had lower rates of pharmacotherapy (OR 0.35, 95% CI 0.26, 0.46) with shorter LOS (RR 0.79, 95% CI 0.76, 0.82). The 30-day NOWS readmission rate was 1.2% in the Pre- and 0.4% in the Post-ESC cohort. SPC charts indicate a shift in pharmacotherapy from 54.8 to 35.0% and LOS from 14.2 to 10.9 days Post-ESC. CONCLUSIONS: The ESC NOWS Care Tool was successfully implemented across a state collaborative with improvement in NOWS outcomes without short-term adverse effects.

Costs and outcomes of abdominal, vaginal, laparoscopic and robotic hysterectomies.

BACKGROUND AND OBJECTIVES: To estimate the incidence of operative complications and compare operative cost and overall cost of different methods of benign hysterectomy including abdominal, vaginal, laparoscopic, and robotic techniques. METHODS: We performed a retrospective cohort analysis (Canadian Task Force classification II-2) of all patients who underwent a hysterectomy for benign reasons in 2009 at a single urban academic tertiary care center using the χ(2) test and Student t test. A multivariate regression analysis was also performed for predictors of costs. Cost data were gathered from the hospital's billing system; the remainder of data was extracted from patient's medical records. RESULTS: In 2009, 688 patients underwent a benign hysterectomy; 185 (26.9%) hysterectomies were abdominal, 135 (19.6%) vaginal, 352 (51.5%) laparoscopic, and 14 (2.0%) robotic. The rate of intraoperative complication was 1.7% for abdominal, 0.8% for vaginal, 0.3% for laparoscopic, and 0 for robotic. Mean total patient costs were $43,622 for abdominal, $31,934 for vaginal, $38,312 for laparoscopic, and $49,526 for robotic hysterectomies. Costs were significantly influenced by method of hysterectomy, operative time, and length of stay. CONCLUSION: Though complication rates did not vary significantly among minimally invasive methods of hysterectomy, patient costs were significantly influenced by the method of hysterectomy.

The Feasibility of Societal Cost Equivalence between Robotic Hysterectomy and Alternate Hysterectomy Methods for Endometrial Cancer.

Objectives. We assess whether it is feasible for robotic hysterectomy for endometrial cancer to be less expensive to society than traditional laparoscopic hysterectomy or abdominal hysterectomy. Methods. We performed a retrospective cohort analysis of patient characteristics, operative times, complications, and hospital charges from all (n = 234) endometrial cancer patients who underwent hysterectomy in 2009 at our hospital. Per patient costs of each hysterectomy method were examined from the societal perspective. Sensitivity analysis and Monte Carlo simulation were performed using a cost-minimization model. Results. 40 (17.1%) of hysterectomies for endometrial cancer were robotic, 91 (38.9%), were abdominal, and 103 (44.0%) were laparoscopic. 96.3% of the variation in operative cost between patients was predicted by operative time (R = 0.963, P < 0.01). Mean operative time for robotic hysterectomy was significantly longer than other methods (P < 0.01). Abdominal hysterectomy was consistently the most expensive while the traditional laparoscopic approach was consistently least expensive. The threshold in operative time that makes robotic hysterectomy cost equivalent to the abdominal approach is within the range of our experience. Conclusion. It is feasible for robotic hysterectomy to be less expensive than abdominal hysterectomy, but unlikely for robotic hysterectomy to be less expensive than traditional laparoscopy.

How health care organizations are using data on patients' race and ethnicity to improve quality of care.

CONTEXT: Racial and ethnic disparities in the quality of health care are well documented in the U.S. health care system. Reducing these disparities requires action by health care organizations. Collecting accurate data from patients about their race and ethnicity is an essential first step for health care organizations to take such action, but these data are not systematically collected and used for quality improvement purposes in the United States. This study explores the challenges encountered by health care organizations that attempted to collect and use these data to reduce disparities. METHODS: Purposive sampling was used to identify eight health care organizations that collected race and ethnicity data to measure and reduce disparities in the quality and outcomes of health care. Staff, including senior managers and data analysts, were interviewed at each site, using a semi-structured interview format about the following themes: the challenges of collecting and collating accurate data from patients, how organizations defined a disparity and analyzed data, and the impact and uses of their findings. FINDINGS: To collect accurate self-reported data on race and ethnicity from patients, most organizations had upgraded or modified their IT systems to capture data and trained staff to collect and input these data from patients. By stratifying nationally validated indicators of quality for hospitals and ambulatory care by race and ethnicity, most organizations had then used these data to identify disparities in the quality of care. In this process, organizations were taking different approaches to defining and measuring disparities. Through these various methods, all organizations had found some disparities, and some had invested in interventions designed to address them, such as extra staff, extended hours, or services in new locations. CONCLUSION: If policymakers wish to hold health care organizations accountable for disparities in the quality of the care they deliver, common standards will be needed for organizations' data measurement, analysis, and use to guide systematic analysis and robust investment in potential solutions to reduce and eliminate disparities.

Increasing minimally invasive hysterectomy: effect on cost and complications.

OBJECTIVE: In a 3-year period, the main mode of access for hysterectomy at Brigham and Women's Hospital changed from abdominal to laparoscopic. We estimated potential effects of this shift on perioperative outcomes and costs. METHODS: We compared the perioperative outcomes and the cost of care for all hysterectomies performed in 2006 and 2009 at an urban academic tertiary care center using the χ² test or Fisher's exact test for categorical variables and two-sided Student's t test for continuous variables. A multivariate regression analysis was also performed for the major perioperative outcomes across the study groups. Cost data were gathered from the hospital's billing system; the remainder of data was extracted from patients' medical records. RESULTS: This retrospective study included 2,133 patients. The total number of hysterectomies performed remained stable (1,054 procedures in 2006 compared with 1,079 in 2009) but the relative proportions of abdominal and laparoscopic cases changed markedly during the 3-year period (64.7% to 35.8% for abdominal, P<.001; and 17.7% to 46% for laparoscopic cases, P<.001). The overall rate of intraoperative complications and minor postoperative complications decreased significantly (7.2% to 4%, P<.002; and 18% to 5.7%, P<.001, respectively). Operative costs increased significantly for all procedures aside from robotic hysterectomy, although no significant change was noted in total mean costs. CONCLUSION: A change from majority abdominal hysterectomy to minimally invasive hysterectomy was accompanied by a significant decrease in procedure-related complications without an increase in total mean costs.

Clinicians' views of an intervention to reduce racial disparities in diabetes outcomes.

RATIONALE: Interventions that improve clinicians' awareness of racial disparities and improve their communication skills are considered promising strategies for reducing disparities in health care. We report clinicians' views of an intervention involving cultural competency training and race-stratified performance reports designed to reduce racial disparities in diabetes outcomes. RESEARCH DESIGN AND METHODS: Semistructured interviews were conducted with 12 physicians and 5 nurse practitioners who recently participated in a randomized intervention to reduce racial disparities in diabetes outcomes. Clinicians were asked open-ended questions about their attitudes towards the intervention, the causes of disparities, and potential solutions to them. RESULTS: Thematic analysis of the interviews showed that most clinicians acknowledged the presence of racial disparities in diabetes control among their patients. They described a complex set of causes, including socioeconomic factors, but perceived only some causes to be within their power to change, such as switching patients to less-expensive generic drugs. The performance reports and training were generally well received but some clinicians did not feel empowered to act on the information. All clinicians identified additional services that would help them address disparities; for example, culturally tailored nutrition advice. Some clinicians challenged the premise of the intervention, focusing instead on socioeconomic factors as the primary cause of disparities rather than on patients' race. CONCLUSIONS: The cultural competency training and performance reports were well received by many but not all of the clinicians. Clinicians reported the intervention alone had not empowered them to address the complex, root causes of racial disparities in diabetes outcomes.

Responses of Massachusetts hospitals to a state mandate to collect race, ethnicity and language data from patients: a qualitative study.

BACKGROUND: A Massachusetts regulation implemented in 2007 has required all acute care hospitals to report patients' race, ethnicity and preferred language using standardized methodology based on self-reported information from patients. This study assessed implementation of the regulation and its impact on the use of race and ethnicity data in performance monitoring and quality improvement within hospitals. METHODS: Thematic analysis of semi-structured interviews with executives from a representative sample of 28 Massachusetts hospitals in 2009. RESULTS: The number of hospitals using race, ethnicity and language data internally beyond refining interpreter services increased substantially from 11 to 21 after the regulation. Thirteen of these hospitals were utilizing patient race and ethnicity data to identify disparities in quality performance measures for a variety of clinical processes and outcomes, while 16 had developed patient services and community outreach programs based on findings from these data. Commonly reported barriers to data utilization include small numbers within categories, insufficient resources, information system requirements, and lack of direction from the state. CONCLUSIONS: The responses of Massachusetts hospitals to this new state regulation indicate that requiring the collection of race, ethnicity and language data can be an effective method to promote performance monitoring and quality improvement, thereby setting the stage for federal standards and incentive programs to eliminate racial and ethnic disparities in the quality of health care.