Bending the cost curve in the United States: the role of comparative effectiveness research

Owing to an increasing focus on the rising cost of medical care in the United States, bending the cost curve has become the central tenet of healthcare reform. The exact definition of this phrase, however, remains elusive. In order to affect change in the cost and quality of healthcare, the importance of comparative effectiveness research must be recognized

Understanding the psychosocial impact of weight loss following bariatric surgery: a qualitative study

Abstract Background Bariatric surgery leads to changes in mental health, quality of life and social functioning, yet these outcomes differ among individuals. In this study, we explore patients’ psychosocial experiences following bariatric surgery and elucidate the individual-level factors that may drive variation in psychosocial outcomes. Methods Eleven semi-structured focus groups with Michigan Bariatric Surgery Collaborative (MBSC) patients (n = 77). Interviews were audio recorded, transcribed verbatim, and analyzed using a grounded theory approach. Data on participant demographic characteristics were abstracted from the MBSC clinical registry. Results Most focus group participants were female (89%), white (64%), and married (65%). We identified three major themes: (1) change in self-perception; (2) change in perception by others; and (3) change in relationships. Each theme includes 3 sub-themes, demonstrating a range of positive and negative psychosocial experiences. For example, weight loss led to increased self-confidence among many participants while others described a loss of self-identity. Some noted improved relationships with family or friends while others experienced worsening or even loss of relationships due to perceived jealousy. Conclusion Weight loss following bariatric surgery leads to complex changes in self-perception and inter-personal relationships, which may be proximal mediators of commonly assessed mental health outcomes such as depression. Individuals considering bariatric surgery may benefit from anticipatory guidance about these diverse experiences, and post-surgical longitudinal monitoring should include evaluation for adverse psychosocial events.https://deepblue.lib.umich.edu/bitstream/2027.42/146725/1/40608_2018_Article_215.pd

Using Incident Reports to Assess Communication Failures and Patient Outcomes

Introduction Communication failures pose a significant threat to the quality of care and safety of hospitalized patients. Yet little is known about the nature of communication failures. The aims of this study were to identify and describe types of communication failures in which nurses and physicians were involved and determine how different types of communication failures might affect patient outcomes. Methods Incident reports filed during fiscal year 2015–2016 at a Midwestern academic health care system (N = 16,165) were electronically filtered and manually reviewed to identify reports that described communication failures involving nurses and physicians (n = 161). Failures were categorized by type using two classification systems: contextual and conceptual. Thematic analysis was used to identify patient outcomes: actual or potential harm, patient dissatisfaction, delay in care, or no harm. Frequency of failure types and outcomes were assessed using descriptive statistics. Associations between failure type and patient outcomes were evaluated using Fisher's exact test. Results Of the 211 identified contextual communication failures, errors of omission were the most common (27.0%). More than half of conceptual failures were transfer of information failures (58.4%), while 41.6% demonstrated a lack of shared understanding. Of the 179 identified outcomes, 38.0% were delays in care, 20.1% were physical harm, and 8.9% were dissatisfaction. There was no statistically significant association between failure type category and patient outcomes. Conclusion It was found that incident reports could identify specific types of communication failures and patient outcomes. This work provides a basis for future intervention development to prevent communication-related adverse events by tailoring interventions to specific types of failures

Am I on Track? Evaluating Patient-Specific Weight Loss After Bariatric Surgery Using an Outcomes Calculator

PURPOSE: Individual weight loss outcomes after bariatric surgery can vary considerably. As a result, identifying and assisting patients who are not on track to reach their weight loss goals can be challenging. MATERIALS AND METHODS: Using a bariatric surgery outcomes calculator, which was formulated using a state-wide bariatric-specific data registry, predicted weight loss at 1 year after surgery was calculated on 658 patients who underwent bariatric surgery at 35 different bariatric surgery programs between 2015 and 2017. Patient characteristics, postoperative complications, and weight loss trajectories were compared between patients who met or exceeded their predicted weight loss calculation to those who did not based on observed to expected weight loss ratio (O:E) at 1 year after surgery. RESULTS: Patients who did not meet their predicted weight loss at 1 year (n = 237, 36%) had a mean O:E of 0.71, while patients who met or exceeded their prediction (n = 421, 63%) had a mean O:E = 1.14. At 6 months, there was a significant difference in the percent of the total amount of predicted weight loss between the groups (88% of total predicted weight loss for those that met their 1-year prediction vs 66% for those who did not, p \u3c 0.0001). Age, gender, procedure type, and risk-adjusted complication rates were similar between groups. CONCLUSION: Using a bariatric outcomes calculator can help set appropriate weight-loss expectations after surgery and also identify patients who may benefit from additional therapy prior to reaching their weight loss nadir

Factors associated with completion of patient surveys 1 year after bariatric surgery

BACKGROUND: Patient-reported outcomes (PRO) obtained from follow-up survey data are essential to understanding the longitudinal effects of bariatric surgery. However, capturing data among patients who are well beyond the recovery period of surgery remains a challenge, and little is known about what factors may influence follow-up rates for PRO. OBJECTIVES: To assess the effect of hospital practices and surgical outcomes on patient survey completion rates at 1 year after bariatric surgery. SETTING: Prospective, statewide, bariatric-specific clinical registry. METHODS: Patients at hospitals participating in the Michigan Bariatric Surgery Collaborative are surveyed annually to obtain information on weight loss, medication use, satisfaction, body image, and quality of life following bariatric surgery. Hospital program coordinators were surveyed in June 2017 about their practices for ensuring survey completion among their patients. Hospitals were ranked based on 1-year patient survey completion rates between 2011 and 2015. Multivariable regression analyses were used to identify associations between hospital practices, as well as 30-day outcomes, on hospital survey completion rankings. RESULTS: Overall, patient survey completion rates at 1 year improved from 2011 (33.9% ± 14.5%) to 2015 (51.0% ± 13.0%), although there was wide variability between hospitals (21.1% versus 77.3% in 2015). Hospitals in the bottom quartile for survey completion rates had higher adjusted rates of 30-day severe complications (2.6% versus 1.7%, respectively; P = .0481), readmissions (5.0% versus 3.9%, respectively; P = .0157), and reoperations (1.5% versus .7%, respectively; P = .0216) than those in the top quartile. While most hospital practices did not significantly impact survey completion at 1 year, physically handing out surveys during clinic visits was independently associated with higher completion rates (odds ratio, 13.60; 95% confidence interval, 1.99-93.03; P =.0078). CONCLUSIONS: Hospitals vary considerably in completion rates of patient surveys at 1 year after bariatric surgery, and lower rates were associated with hospitals that had higher complication rates. Hospitals with the highest completion rates were more likely to physically hand surveys to patients during clinic visits. Given the value of PRO on longitudinal outcomes of bariatric surgery, improving data collection across multiple hospital systems is imperative

Racial variation in baseline characteristics and wait times among patients undergoing bariatric surgery

BACKGROUND: Although bariatric surgery is the most effective treatment for obesity and weight-related comorbid diseases, utilization rates are disproportionately low among non-white patients. We sought to understand if variation in baseline characteristics or access to care exists between white and non-white patients. METHODS: Using a statewide bariatric-specific data registry, we evaluated all patients who underwent bariatric surgery between 2006 and 2020 and completed a preoperative baseline questionnaire, which included a question about self-identification of race. Patient characteristics, co-morbidities, and time from initial preoperative clinic evaluation to date of surgery were compared among racial groups. RESULTS: A total of 73,141 patients met inclusion criteria with 18,741 (25.5%) self-identified as non-white. These included Black/African American (n = 11,904), Hispanic (n = 3448), Asian (n = 121), Native Hawaiian/Pacific Islander (n = 41), Middle Eastern (n = 164), Multiple (n = 2047) and other (n = 608). Non-white males were the least represented group, accounting for only 4% of all bariatric cases performed. Non-white patients were more likely to be younger (43.0 years vs. 46.6 years, p \u3c 0.0001), disabled (16% vs. 11.4%, p \u3c 0.0001) and have Medicaid (8.4% vs. 3.8%, p \u3c 0.0001) when compared to white patients, despite having higher rates of college education (78.0% vs. 76.6, p \u3c 0.0001). In addition, median time from initial evaluation to surgery was also longer among non-white patients (157 days vs. 127 days, p \u3c 0.0001), despite having higher rates of patients with a body mass index above 50 kg/m(2) (39.0% vs. 33.2%, p \u3c 0.0001). CONCLUSIONS: Non-white patients undergoing bariatric surgery represent an extremely diverse group of patients with more socioeconomic disadvantages and longer wait times when compared to white patients despite presenting with higher rates of severe obesity. Current guidelines and referral patterns for bariatric surgery may not be equitable and need further examination when considering the management of obesity within diverse populations to reduce disparities in care-of which non-white males are particularly at risk