Health Care Quality Metrics Research Articles

Medical Tourism Management

Medical tourism, the practice of traveling abroad for medical treatment, has gained substantial attention in recent years due to its implications for healthcare delivery and tourism industry dynamics. This paper investigates the management strategies employed in medical tourism destinations, focusing on enhancing healthcare services and tourism competitiveness. Utilizing secondary data from scholarly articles, reports, and industry publications, the research synthesizes existing knowledge on medical tourism management frameworks, destination competitiveness factors, patient experiences, and healthcare quality metrics. The study employs a qualitative analysis approach to distill key insights and patterns from the literature, shedding light on effective management practices and their impact on patient outcomes and destination attractiveness. Findings reveal the importance of strategic planning, collaboration between healthcare providers and tourism stakeholders, quality assurance mechanisms, and marketing strategies in optimizing medical tourism experiences. The paper discusses implications for policy development, industry regulations, and sustainable growth strategies in medical tourism destinations. By leveraging secondary data sources, this research contributes to a comprehensive understanding of medical tourism management dynamics, offering practical insights for healthcare providers, policymakers, and tourism professionals navigating this evolving landscape. Keywords- Medical tourism, Management strategies, Destination competitiveness, Healthcare quality

Longitudinal medication adherence group-based trajectories of aging adults in the US: A retrospective analysis using monthly proportion of days covered calculations

BackgroundIt is thought that half of the patients with chronic conditions are not adherent to their medications, which contributes to significant health and economic burden. Many studies estimate medication non-adherence by implementing a threshold of ≥80% of Proportion of Days Covered (PDC), categorizing patients as either adherent or non-adherent. Healthcare quality metrics pertaining to medication use are based on this dichotomous approach of medication adherence, including the Medicare Part D Star Ratings. Among others, the Medicare Part D Star Ratings rewards part D plan sponsors with quality bonus payments based on this dichotomous categorization of beneficiaries’ medication adherence. ObjectivesDescribe the longitudinal adherence trajectories of adults ≥65 years of age covered by Medicare for 3 classes of drugs in the Part D Star Ratings: diabetes medications, statins, and select antihypertensives. MethodsThis study used Medicare healthcare administrative claims data linked to participants from the Health Retirement Study between 2008 and 2016. Group-based trajectory models (GBTM) elicited the number and shape of adherence trajectories from a sample of N = 11,068 participants for the three pharmacotherapeutic classes considered in this study. Medication adherence was estimated using monthly PDC. ResultsGBTM were estimated for the sample population taking antihypertensives (n = 7,272), statins (n = 8,221), and diabetes medications (n = 3,214). The hypertension model found three trajectories: high to very high adherence (47.55%), slow decline (32.99%), and rapid decline (19.47%) trajectories. The statins model found 5 trajectories: high to very high adherence (35.49%), slow decline (17.12%), low then increasing adherence (23.58%), moderate decline (12.62%), and rapid decline (11.20%). The diabetes medications model displayed 6 trajectories: high to very high adherence (24.15%), slow decline (16.84%), high then increasing adherence (25.56%), low then increasing (13.58%), moderate decline (10.60%), and rapid decline (9.27%). ConclusionsThis study showed the fluid nature of long-term medication adherence to the medications considered in the Medicare Part D Star Ratings and how it varies by pharmacotherapeutic class. These challenge previous assumptions about which patients were considered adherent to chronic medications. Policy and methodological implications about medication adherence are discussed.

Harmonizing Medicine and Surgery in the Pursuit of Boolean Remission: A Rheumatological Magnum Opus.

Rheumatic diseases encompass a diverse group of musculoskeletal conditions that often lead to inflammation, pain, and significant limitations in patients' lives. While traditional treatment approaches have primarily centered on medications to control symptoms, recent developments have introduced the concept of Boolean remission. Boolean remission offers a comprehensive evaluation of disease activity by considering clinical, biochemical, and patient-reported outcomes. This narrative review explores the multifaceted landscape of Boolean remission in the context of rheumatic diseases, with a focus on rheumatoid arthritis (RA), as it remains a substantial clinical challenge. The review outlines the definition, criteria, historical context, and development of Boolean remission, shedding light on its emergence as a more patient-centered and stringent treatment goal. The role of pharmacological interventions, including immunomodulators and biologics, in achieving Boolean remission is discussed, emphasizing the significance of treatment protocols that encompass regular monitoring, medication adjustment, shared decision-making, and patient education. Surgical interventions, such as joint replacements and synovectomies, complement medication-based strategies when joint damage becomes severe, with adherence to surgical protocols ensuring sustained Boolean remission. The integration of medicine and surgery through integrated care models and interdisciplinary teams is examined as a critical aspect of optimizing patient outcomes. Boolean remission's broader impact on healthcare policies and clinical trial endpoints is explored, underscoring its growing significance in rheumatic disease management. The review concludes by looking towardthe future, where emerging technologies, biomarkers, and personalized medicine approaches hold promise in refining Boolean remission criteria and making it a more attainable and impactful treatment goal. Policy implications suggest the integration of Boolean remission into healthcare quality metrics, incentivizing healthcare providers to prioritize this rigorous standard of care. Boolean remission represents a pivotal shift in the holistic and patient-centered management of rheumatic diseases, offering hope for improved patient outcomes and enhanced quality of life in this challenging clinical landscape.

Access to Care and Healthcare Quality Metrics for Patients with Advanced Genitourinary Cancers in Urban versus Rural Areas.

Compared to the urban population, patients in rural areas face healthcare disparities and experience inferior healthcare-related outcomes. To compare the healthcare quality metrics and outcomes between patients with advanced genitourinary cancers from rural versus urban areas treated at a tertiary cancer hospital, in this retrospective study, eligible patients with advanced genitourinary cancers were treated at Huntsman Cancer Institute, an NCI-Designated Comprehensive Cancer Center in Utah. Rural-urban commuting area codes were used to classify the patients' residences as being in urban (1-3) or rural (4-10) areas. The straight line distances of the patients' residences from the cancer center were also calculated and included in the analysis. The median household income data were obtained and calculated from "The Michigan Population Studies Center", based on individual zip codes. In this study, 2312 patients were screened, and 1025 eligible patients were included for further analysis (metastatic prostate cancer (n = 679), metastatic bladder cancer (n = 184), and metastatic renal cell carcinoma (n = 162). Most patients (83.9%) came from urban areas, while the remainder were from rural areas. Both groups had comparable demographic profiles and tumor characteristics at baseline. The annual median household income of urban patients was $8604 higher than that of rural patients (p < 0.001). There were fewer urban patients with Medicare (44.9% vs. 50.9%) and more urban patients with private insurance (40.4% vs. 35.1%). There was no difference between the urban and rural patients regarding receiving systemic therapies, enrollment in clinical trials, or tumor genomic profiling. The overall survival rate was not significantly different between the two populations in metastatic prostate, bladder, and kidney cancer, respectively. As available in a tertiary cancer hospital, access to care can mitigate the difference in the quality of healthcare and clinical outcomes in urban versus rural patients.

Improving Health Care Quality Measurement to Combat Clinician Burnout

This Viewpoint explores a critical source of administrative burden and physician frustration—the explosive growth of health care quality metrics—and how improving these metrics could combat clinician burnout.

The Volume and Cost of Quality Metric Reporting

US hospitals report data on many health care quality metrics to government and independent health care rating organizations, but the annual cost to acute care hospitals of measuring and reporting quality metric data, independent of resources spent on quality interventions, is not well known. To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Retrospective time-driven activity-based costing study at the Johns Hopkins Hospital (Baltimore, Maryland) with hospital personnel involved in quality metric reporting processes interviewed between January 1, 2019, and June 30, 2019, about quality reporting activities in the 2018 calendar year. Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. A total of 162 unique metrics were identified, of which 96 (59.3%) were claims-based, 107 (66.0%) were outcome metrics, and 101 (62.3%) were related to patient safety. Preparing and reporting data for these metrics required an estimated 108 478 person-hours, with an estimated personnel cost of $5 038 218.28 (2022 USD) plus an additional $602 730.66 in vendor fees. Claims-based (96 metrics; $37 553.58 per metric per year) and chart-abstracted (26 metrics; $33 871.30 per metric per year) metrics used the most resources per metric, while electronic metrics consumed far less (4 metrics; $1901.58 per metric per year). Significant resources are expended exclusively for quality reporting, and some methods of quality assessment are far more expensive than others. Claims-based metrics were unexpectedly found to be the most resource intensive of all metric types. Policy makers should consider reducing the number of metrics and shifting to electronic metrics, when possible, to optimize resources spent in the overall pursuit of higher quality.

Access to care and health care quality metrics in urban versus rural patients (pts) with advanced prostate cancer (aPC).

37 Background: Compared to the urban population, pts in rural areas face healthcare disparities and experience inferior healthcare-related outcomes. Herein we aimed to compare the health care quality metrics and outcomes between pts with aPC from rural versus urban areas treated at a tertiary cancer hospital. Methods: In this IRB approved retrospective study, eligibility criteria were: presence of aPC, treatment at a single center (NCI-Designated Comprehensive Cancer Center (NCI-CCC), between 10/2017 to 9/2021). Rural-urban commuting area (RUCA) codes from the 2010 census /were used to classify the pts’ residences as urban (1-3) or rural (4-10) areas. The straight-line to distance of the pts’ place of residence from our institute was also calculated and included in the analysis. The median household income data were obtained and calculated from “The Michigan Population Studies Center”, based on individual zip codes. Results: A total of 994 pts were eligible and included (83.9% urban vs 16.1% rural). The baseline demographic profile and tumor characteristics were similar between the two groups. The median household income of pts from urban areas was higher by $8604/annum than that from rural areas (p&lt;0.0001). There was no difference between urban versus rural pts in terms of receipt of lines of systemic therapies, clinical trial accrual, and receipt of tumor genomic profiling. No significant difference was found in the median overall survival between the two population (83.7 versus 92.8 months; p=0.14). Conclusions: These hypothesis generating data show that access to quality care, as available in an NCI-CCC can mitigate the disparities in the quality of health care delivery and clinical outcomes in urban versus rural pts with aPC. [Table: see text]

Unplanned 30-day readmissions, comorbidity and impact on one-year mortality following incident heart failure hospitalisation in Western Australia, 2001–2015

BackgroundReadmissions within 30 days after heart failure (HF) hospitalisation is considered an important healthcare quality metric, but their impact on medium-term mortality is unclear within an Australian setting. We determined the frequency, risk predictors and relative mortality risk of 30-day unplanned readmission in patients following an incident HF hospitalisation.MethodsFrom the Western Australian Hospitalisation Morbidity Data Collection we identified patients aged 25–94 years with an incident (first-ever) HF hospitalisation as a principal diagnosis between 2001 and 2015, and who survived to 30-days post discharge. Unplanned 30-day readmissions were categorised by principal diagnosis. Logistic and Cox regression analysis determined the independent predictors of unplanned readmissions in 30-day survivors and the multivariable-adjusted hazard ratio (HR) of readmission on mortality within the subsequent year.ResultsThe cohort comprised 18,241 patients, mean age 74.3 ± 13.6 (SD) years, 53.5% males, and one-third had a modified Charlson Comorbidity Index score of ≥ 3. Among 30-day survivors, 15.5% experienced one or more unplanned 30-day readmission, of which 53.9% were due to cardiovascular causes; predominantly HF (31.4%). The unadjusted 1-year mortality was 15.9%, and the adjusted mortality HR in patients with 1 and ≥ 2 cardiovascular or non-cardiovascular readmissions (versus none) was 1.96 (95% confidence interval (CI) 1.80–2.14) and 3.04 (95% CI, 2.51–3.68) respectively. Coexistent comorbidities, including ischaemic heart disease/myocardial infarction, peripheral arterial disease, pneumonia, chronic kidney disease, and anaemia, were independent predictors of both 30-day unplanned readmission and 1-year mortality.ConclusionUnplanned 30-day readmissions and medium-term mortality remain high among patients who survived to 30 days after incident HF hospitalisation. Any cardiovascular or non-cardiovascular readmission was associated with a two to three-fold higher adjusted HR for death over the following year, and various coexistent comorbidities were important associates of readmission and mortality risk. Our findings support the need to optimize multidisciplinary HF and multimorbidity management to potentially reduce repeat hospitalisation and improve survival.

Abstract 15805: Content Validity of a Measurement Tool to Assess Provider Concordance to the 2017 High Blood Pressure Clinical Practice Guidelines

Introduction: The AHA/ACC 2017 High Blood Pressure clinical practice guidelines included numerous changes, including a new definition of hypertension (≥130/80 mm Hg) and lower thresholds for medication initiation, that may be challenging for clinicians to adopt. Developing and validating a tool to measure provider compliance to the guidelines is valuable for ascertaining compliance as a metric of healthcare quality. Methods: A five-step process was conducted. 1) Constructing items : 31 items that include five domains (screening, lifestyle, drug therapy, follow-up, laboratory) were compiled by the study investigators from the 2017 guideline. 2) Expert evaluation : A panel of five physicians with expertise in hypertension management reviewed and scored the items on how well they match to the guideline on a scale of 1 to 4 (1=does not match at all, 2=matches somewhat, 3=matches, 4=matches very well). The panel subsequently met face-to-face and came to a consensus on items that received &lt;3 score by any reviewer. 3) Refining items : Using information gathered during step 2, the tool was subsequently modified. 4) Expert reevaluation : experts rescored the match of the refined items to the guideline. 5) Validity score : Item Content Validity Index (I-CVI) was calculated as the proportion of experts who gave a score of ≥3 for an item and Scale Content Validity Index (S-CVI) as the proportion of items that received a score of ≥3 out of total items. I-CVI and S-CVI ≥0.80 were included in the final tool. Results: Twelve out of 31 items had a score of &lt;3 by at least one panel member. After the panel discussion, the contents of 9 of the 12 items were modified. The expert panel eliminated 2 of the 12 items because they were not clearly recommended in the guidelines. One item with ICV-I &lt;80% was eliminated. Each of the remaining 28 items had I-CVI ≥80% (10 had 80% and 18 had 100% I-CVI) and were included in the final tool. S-CVI for all items was 91%. Of 28 items, 3 were related to screening, 1 to lifestyle, 17 to drug therapy, 1 to laboratory, and 7 to follow-up. Conclusions: We developed and refined a measurement tool to evaluate provider level of compliance to hypertension treatment guidelines. This tool will be applied to identify patients at risk of receiving care inconsistent with current guidelines.

Access to Care and Health Care Quality Metrics in Urban Versus Rural Patients With Advanced Genitourinary Cancers

Access to Care and Health Care Quality Metrics in Urban Versus Rural Patients With Advanced Genitourinary Cancers

Editorial introductions

Editorial introductions

Analysis of Factors That Influence Patient Satisfaction After Periacetabular Osteotomy: An Asian Cohort Study

Periacetabular osteotomy (PAO) is an effective joint-preserving procedure for developmental dysplasia of the hip. However, some patients report dissatisfaction after PAO. Because patient satisfaction is increasingly used as a health care quality metric, it is important to gain a better understanding of factors associated with patient satisfaction after PAO. The goal of this study was to investigate patient satisfaction among a cohort of Asian patients undergoing PAO. This study included 227 Asian patients who had undergone PAO at our institution between 1998 and 2016. The study participants completed a questionnaire assessing patient satisfaction, reasons for dissatisfaction, and postoperative Oxford Hip Score (OHS) and University of California, Los Angeles (UCLA), activity scale score. Based on their satisfaction levels, the participants were divided into 4 subgroups, and their demographic characteristics and postoperative patient-reported outcomes were compared. Of the 227 patients, 190 expressed satisfaction that correlated with OHS-pain, OHD-activities of daily living, and UCLA activity scale scores. Primary reasons for dissatisfaction after PAO were persistent pain (24 of 49, 49%), functional limitations (14 of 49, 29%), stiffness around the hip (4 of 49, 8%), unmet expectations (4 of 49, 8%), conversion to total hip arthroplasty (2 of 49, 4%), and complications (1 of 49, 2%). Multivariate analysis showed that preoperative Kellgren-Lawrence grades 1 and 3 were the significant predictive factors for satisfaction and dissatisfaction, respectively. The potential for lower patient satisfaction associated with Kellgren-Lawrence grade 3 because of persistent pain and functional limitations postoperatively suggests that consideration of preoperative severity of osteoarthritis could enhance patient satisfaction after PAO. [Orthopedics. 20XX;4X(X):xx-xx.].

HSR22-151: Access to Care and Health Care Quality Metrics in Urban Versus Rural Patients With Advanced Genitourinary Cancers

HSR22-151: Access to Care and Health Care Quality Metrics in Urban Versus Rural Patients With Advanced Genitourinary Cancers

Radiologist-patient consultation of imaging findings after neck ultrasonography: An opportunity to practice value-based radiology

ObjectiveTo investigate how patients experience a radiologist-patient consultation of imaging findings directly after neck ultrasonography (US), and how much time this consumes. Materials and methodsThis prospective randomized study included 109 consecutive patients who underwent neck US, of whom 44 had a radiologist-patient consultation of US results directly after the examination, and 65 who had not. ResultsThe median ratings of all healthcare quality metrics (friendliness of the radiologist, explanation of the radiologist, skill of the radiologist, radiologist's concern for comfort during the examination, radiologist's concern for patient questions/worries, overall rating of the examination, and likelihood of recommending the examination) were either good/high or very good/very high, without any significant differences between both patient groups. Patients who did not discuss the US results with the radiologist, were significantly more worried during the examination (P = 0.040) and had significantly higher anxiety levels after completion of the US examination (P = 0.027) than patients who discussed the US results with the radiologist. Fifty-one out of 55 responding patients (92.7%) indicated a radiologist-patient consultation of US results to be important. The median duration of US examinations that included a radiologist-patient consultation of US results was 7.57 min (range: 5.15–12.10 min), while the median duration of US examinations without a radiologist-patient consultation of US results was 7.34 min (range: 3.45–14.32 min), without any significant difference (P = 0.637). ConclusionA radiologist-patient consultation of imaging findings after neck US decreases patient anxiety, is desired by most patients, and does not significantly prolong total examination time.

Designing comprehensible healthcare public reports: An investigation of the use of narratives and tests of quality metrics to support healthcare public report sensemaking

A key challenge for designers of healthcare public reports is the development of a presentation format that accurately communicates the variability in the quality of care among healthcare systems. This study conducted in the United States explored whether presenting public report information within narratives and with tests of healthcare quality metrics supported the public report sensemaking process. The study involved 200 participants and employed a 2 (public report information presented in the standard format, presented within a narrative) * 2 (no tests of quality metrics added to standard report, metrics tests added) between-subjects experimental design. The participants viewed the scenario of a patient looking for dialysis facility-related information. They were then asked which dialysis facility they would choose for their care and their level of confidence in their choice. Subsequently, a knowledge quiz evaluating how the participants interpreted the information presented to them, the NASA-TLX workload survey, and a usability questionnaire were administered. The results showed that the probability of choosing the better facility from the perspective of the quality measures included in the report changed from 0.69 to 0.89 when information was presented within a narrative rather than with the standard public report format. The results also found a significantly higher comprehension score (M = 54.58, SD = 18.51) when information was presented within the narrative than when presented in the standard public report format (M = 44.57, SD = 25.13). When information was presented to the participants within a narrative, the narrative may have enabled the participants to visualize themselves as the person depicted in the narrative and this may have increased the perceived relevance of the quality measures. Total workload, mental demand and perceived usability were higher when information was presented within the narrative than when presented in the standard format. The high workload and mental demand may be due to the stress placed on the information processing channels while reading a narrative and the effort expended to relate it to the quality measures. They may also be markers of more deliberative decision making facilitated by the narratives. No significant effect of tests of quality metrics was found on the dependent variables of choice of the better healthcare facility, comprehension, and usability. There was also no significant effect of quality metrics tests on overall workload. However, the effect of quality metrics tests on the mental demand subscale of NASA-TLX was significant. Mental demand was higher without quality metrics tests than with quality metrics tests. No significant interaction was found between the two independent variables on the dependent variables of choice of the better healthcare facility, comprehension, workload, and usability. It is recommended that narratives be used to present public report information to support informed healthcare decisions.

Incidence of Complicated Appendicitis as a Metric of Health Care Delivery.

Complicated acute appendicitis (CAA) has been linked to extremes of age, racial and socioeconomic disparities, public insurance, and remote residency. CAA rate has been used from 2005 to 2018 as a health care quality metric, with the assumption that delay in treatment was a main cause of perforation. We studied factors that could contribute to CAA focusing on modifiable factors which could be altered as part of a health care delivery system. All primary admissions for acute appendicitis (AA) from the 2010 Nationwide Inpatient Sample were linked to 2010 state-level physician density data. CAA was distinguished by codes for perforation, generalized peritonitis, or intra-abdominal abscess. A multivariable logistic regression model for CAA prediction was built. A total of 288556 patients were admitted with AA and 86272 (29.9%) had CAA. Independent factors, linked to CAA, included age outside the 10-39 range (odds ratio (OR) = 2.1-2.4 and all P < .001), male gender (OR = 1.2), malnutrition (OR = 6.2), diabetes mellitus (OR = 2.1), chronic anemias (OR = 1.9), nonprivate insurances (OR 1.2-1.5), nonmetropolitan patient's residence (OR = 1.15), and Midwest region (OR = 1.2). Patient income and physician coverage were not significant factors after adjustment for all other covariates. Highest CAA fraction of 39.6% was noted in rural patients admitted to urban teaching facilities. Although provider coverage at the state level may seem adequate and not related to increased CAA rates, the distance patients traveled for their definitive surgical care correlated with higher rates of CAA. Adjusting physician distribution into nonurban settings closer to patients could decrease rates of CAA by diminishing time to definitive care.

Variation in tuberculosis treatment outcomes and treatment supervision practices in Uganda

BackgroundVariation in healthcare delivery is increasingly recognized as an important metric of healthcare quality. Directly observed therapy (DOT) has been the standard of care for tuberculosis (TB) treatment supervision for decades based on World Health Organization (WHO) guidelines. However, variation in implementation of DOT and associated TB treatment supervision practices remains poorly defined. MethodsWe collected individual patient data from TB treatment registers at 18 TB treatment units in Uganda including District Health Centers, District Hospitals, and Regional Referral Hospitals. We also administered a survey and did observations of TB treatment supervision practices by health workers at each site. We describe variation in TB treatment outcomes and TB treatment supervision practices. ResultsOf 2767 patients treated for TB across the 18 clinical sites between January 1 and December 31, 2017, 1740 (62.9%) were men, most were of working age (median 35 years, interquartile range [IQR] 27 – 46), 2546 (92.0%) had a new TB diagnosis, and nearly half (45.9%, n = 1283) were HIV positive. The pooled treatment success proportion was 69.4% (95% confidence interval [CI] 67.8 – 71.1) but there was substantial variation across sites (range 42.6 – 87.6%, I-squared 92.7%, p < 0.001). The survey and observation of TB treatment practices revealed that the majority of sites practice community-based DOT (66.7%, n = 12) and request a family member, who receives no additional training or supervision, to serve as a treatment supporter (77.8%, n = 14). At TB medication refill visits, all sites screen for side effects and most assess adherence via self-report (83.3%, n = 15). Only 7 (38.9%) sites followed-up patients who missed appointments using either phone calls (22.2%, n = 4/7) or community health workers (16.7%, n = 3/7). All 18 sites counseled patients at treatment initiation, but none provided additional counseling at refill visits other than addressing poor adherence or missed appointments. ConclusionThere was substantial variation in implementation of DOT, including observation and documentation of daily dosing, training and supervision of treatment supporters, and follow-up for missed clinic visits. Identifying best practices and reducing uncontrolled variation in the delivery of TB treatment is critical to improving treatment outcomes.

Causes of hospital readmissions within 7 days from the neurosurgical service of a quaternary referral hospital.

Background: Evaluation of readmission rates as a proxy metric of health-care quality in neurological surgery has grown to become a prevalent area of investigation in the last several years. Significant attention has been paid to 30-day readmission rates due to the financial incentive to health-care providers following the enforcement of the penalties created by the Affordable Care Act. However, relatively little attention has been paid to patients readmitted within 7 days of discharge to large quaternary neurological surgery services. This study was conducted to examine the causes and unique characteristics of 7-day readmission rates from a neurosurgical service at a large quaternary referral hospital.Methods: A retrospective observational analysis of all 7-day readmissions to the neurosurgical surgery service of the University of Pittsburgh Medical Center, Presbyterian Hospital from August 2017 to June 2019, was performed. Patients were organized into seven categories based on their primary reason for readmission: scheduled surgeries, infection, pain, altered mental status or seizures, general postoperative complications, complications directly resulting from a neurosurgical intervention, and unrelated reasons. Demographic information, the time between initial discharge and subsequent readmission, and discharge disposition were also recorded.Results: Of 5274 discharges, 258 patients (4.9%) were readmitted within 7 days (55.0% male; mean age 60 years of age). Two-thirds of patients readmitted initially underwent care for cranial pathologies (57% of 258 patients) as opposed to a third for spine pathologies (33% of 258 patients). Complications that directly arose from the neurosurgical intervention (e.g., shunt infection or misplacement, and hardware misplacement) represented 18.9% of total readmission, while general postoperative complications (e.g., urinary tract infection) accounted for 15.1% of total readmission, in which all together were slightly greater than a third of readmissions. Seizures or altered mental status led to less than a fifth of readmissions (17.0%), followed by readmissions from unrelated diagnosis or miscellaneous reasons (17.0%) and scheduled surgeries (13.1%). Taken together, surgical site infections (9.7%) and postoperative pain (9.3%) accounted for 9.7% and 9.3 % of readmissions, respectively.Conclusion: Approximately 5% of patients discharged in a single year from our quaternary referral center were readmitted within 7-days. Approximately 90% of all 7-day readmissions were unplanned, with one-third resulting directly from perioperative complications. Further investigation to better understand this acutely vulnerable yet previously overlooked population may guide focused efforts to increase the quality of neurosurgical patient care.

Determinants of 30-Day Readmission after Infraumbilical Panniculectomy in a Nation-Wide Cohort

Background: Following implementation of the Affordable Care Act, unplanned readmission has become an important metric of health care quality. We sought to identify determinants of 30-day readmission in a nationwide cohort. Methods: This is a retrospective study of the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP). We identified all patients undergoing infraumbilical panniculectomy from 2007 to 2017 using CPT code 15830. Patient demographics, comorbidities, and postoperative complications were analyzed. Descriptive tests and regression models were used for group comparison, significance was set at p<0.05. Results: We identified 10483 patients who underwent an infraumbilical panniculectomy. Overall, 30-day postoperative complications occurred in 14%, most commonly: surgical site infection (44%), wound dehiscence (9%), sepsis (7%), and urinary tract infection (5%) Death occurred in 14 patients. Unplanned readmission and reoperation within 30 days of discharge were found in 3% and 4% patients, respectively. Race, sex, BMI category, comorbidities, complication status, and undergoing a concurrent operation were not significant predictors of unplanned readmission (p>0.05, all). However, patients who were 50 years and older were 2.2 times more likely to have an unplanned readmission than younger patients (p=0.006). Conclusion: This is the first study of readmission rates after infraumbilical panniculectomy. Awareness of specific risk factors for readmission, particularly those that are modifiable, may serve to identify and manage high risk patients, aid in the development of pre- and postoperative clinical care guidelines, and ultimately improve patient care.

Abstract 261: Improving Hypertension Control Among an Underserved Urban Patient Population

Needs and Objectives: Poorly-controlled hypertension is associated with increased risk of adverse cardiovascular outcomes and thus is an important healthcare quality metric for primary care practices. Yet achieving blood pressure goals among socially-complex, economically-disadvantaged patient populations can be challenging due to cost-related non-adherence, poor health literacy and other social determinant barriers. Indeed, by early 2019, only 59% of hypertensive patients at our inner-city community health clinic had a blood pressure less than 140/90. The goal of this resident-driven quality improvement (QI) project was to increase blood pressure control among our hypertensive patients to a network target of 75% over 6 months. Setting and Participants: Our project was implemented at the Ryan Adair Center, a Federally Qualified Health Center located in Central Harlem that serves as a primary care practice site for Internal Medicine residents. The patient population consists predominantly of Black and Latino patients, most of whom are on Medicaid and live well below the federal poverty line. Our target population was hypertensive patients. Intervention: We used the Plan-Do-Study-Act method to carry out our clinic-based project. PGY1’s at the site served as the QI project leaders with faculty oversight. Cycle 1 focused on nurse education regarding proper blood pressure measurement. Cycle 2 focused on home blood pressure monitoring including patient education on proper technique and the importance of maintaining a daily log. Cycle 3 focused on assessment of health literacy via a patient questionnaire. Cycle 4 focused on provider education by ensuring that our patients were prescribed an appropriate medication regimen based on ACC/AHA Guidelines. Cycle 5 focused on referring patients with continued poor control to community health coaches to identify barriers like nutrition, medication access, and health literacy. Evaluation: Using our clinic’s online hypertensive registry (DRVS), we tracked on a monthly basis the percentage of hypertensive patients who had controlled blood pressure (&lt;140/90). Percent of patients at goal went from 59% in February 2019 to 73% in July 2019. Discussion/lessons learned: Through this project, we demonstrated a meaningful improvement in hypertensive control among an economically-disadvantaged, racially diverse urban patient population. Accurate nurse measurements, engagement of patients in self-management, and resident education on evidence-based medication standards have all contributed to this success. Future directions will explore the impact of community health coaches in hypertension control and use of standard questionnaire to assess health literacy.