Telehealth Expansion and Medicare Beneficiaries' Care Quality and Access.

Importance: Understanding the association of telehealth use with health care outcomes is fundamental to determining whether telehealth waivers implemented during the COVID-19 public health emergency should be made permanent. The current literature has yielded inconclusive findings owing to its focus on select states, practices, or health care systems. Objective: To estimate the association of telehealth use with outcomes for all Medicare fee-for-service (FFS) beneficiaries by comparing hospital service areas (HSAs) with different levels of telehealth use. Design, Setting, and Participants: This US population-based, retrospective cohort study was conducted from July 2022 to April 2023. Participants included Medicare claims of beneficiaries attributed to HSAs with FFS enrollment in Parts A and B. Exposures: Low, medium, or high tercile of telehealth use created by ranking HSAs according to the number of telehealth visits per 1000 beneficiaries. Main Outcomes and Measures: The primary outcomes were quality (ambulatory care-sensitive [ACS] hospitalizations and emergency department [ED] visits per 1000 FFS beneficiaries), access to care (clinician encounters per FFS beneficiary), and cost (total cost of care for Part A and/or B services per FFS Medicare beneficiary) determined with a difference-in-difference analysis. Results: In this cohort study of claims from approximately 30 million Medicare beneficiaries (mean [SD] age in 2019, 71.04 [1.67] years; mean [SD] percentage female in 2019, 53.83% [2.14%]) within 3436 HSAs, between the second half of 2019 and the second half of 2021, mean ACS hospitalizations and ED visits declined sharply, mean clinician encounters per beneficiary declined slightly, and mean total cost of care per beneficiary per semester increased slightly. Compared with the low group, the high group had more ACS hospitalizations (1.63 additional hospitalizations per 1000 beneficiaries; 95% CI, 1.03-2.22 hospitalizations), more clinician encounters (0.30 additional encounters per beneficiary per semester; 95% CI, 0.23-0.38 encounters), and higher total cost of care ($164.99 higher cost per beneficiary per semester; 95% CI, $101.03-$228.96). There was no statistically significant difference in ACS ED visits between the low and high groups. Conclusions and Relevance: In this cohort study of Medicare beneficiaries across all 3436 HSAs, high levels of telehealth use were associated with more clinician encounters, more ACS hospitalizations, and higher total health care costs. COVID-19 cases were still high during the period of study, which suggests that these findings partially reflect a higher capacity for providing health services in HSAs with higher telehealth intensity than other HSAs.

Influence of external assessment on quality and safety in surgery: a qualitative study of surgeons' perspectives.

INTRODUCTION: Transparency about the occurrence of adverse events has been a decades-long governmental priority, defining external feedback to healthcare providers as a key measure to improve the services and reduce the number of adverse events. This study aimed to explore surgeons' experiences of assessment by external bodies, with a focus on its impact on transparency, reporting and learning from serious adverse events. External bodies were defined as external inspection, police internal investigation, systems of patient injury compensation and media. METHODS: Based on a qualitative study design, 15 surgeons were recruited from four Norwegian university hospitals and examined with individual semi-structured interviews. Data were analysed by deductive content analysis. RESULTS: Four overarching themes were identified, related to influence of external inspection, police investigation, patient injury compensation and media publicity, (re)presented by three categories: (1) sense of criminalisation and reinforcement of guilt, being treated as suspects, (2) lack of knowledge and competence among external bodies causing and reinforcing a sense of clashing cultures between the 'medical and the outside world' with minor influence on quality improvement and (3) involving external bodies could stimulate awareness about internal issues of quality and safety, depending on relevant competence, knowledge and communication skills. CONCLUSIONS AND IMPLICATIONS: This study found that external assessment might generate criminalisation and scapegoating, reinforcing the sense of having medical perspectives on one hand and external regulatory perspectives on the other, which might hinder efforts to improve quality and safety. External bodies could, however, inspire useful adjustment of internal routines and procedures. The study implies that the variety and interconnections between external bodies may expose the surgeons to challenging pressure. Further studies are required to investigate these challenges to quality and safety in surgery.

COVID-19 Admission Rates and Changes in Care Quality in US Hospitals.

Importance: Unprecedented increases in hospital occupancy rates during COVID-19 surges in 2020 caused concern over hospital care quality for patients without COVID-19. Objective: To examine changes in hospital nonsurgical care quality for patients without COVID-19 during periods of high and low COVID-19 admissions. Design, Setting, and Participants: This cross-sectional study used data from the 2019 and 2020 Agency for Healthcare Research and Quality's Healthcare Cost and Utilization Project State Inpatient Databases. Data were obtained for all nonfederal, acute care hospitals in 36 states with admissions in 2019 and 2020, and patients without a diagnosis of COVID-19 or pneumonia who were at risk for selected quality indicators were included. The data analysis was performed between January 1, 2023, and March 15, 2024. Exposure: Each hospital and week in 2020 was categorized based on the number of COVID-19 admissions per 100 beds: less than 1.0, 1.0 to 4.9, 5.0 to 9.9, 10.0 to 14.9, and 15.0 or greater. Main Outcomes and Measures: The main outcomes were rates of adverse outcomes for selected quality indicators, including pressure ulcers and in-hospital mortality for acute myocardial infarction, heart failure, acute stroke, gastrointestinal hemorrhage, hip fracture, and percutaneous coronary intervention. Changes in 2020 compared with 2019 were calculated for each level of the weekly COVID-19 admission rate, adjusting for case-mix and hospital-month fixed effects. Changes during weeks with high COVID-19 admissions (≥15 per 100 beds) were compared with changes during weeks with low COVID-19 admissions (<1 per 100 beds). Results: The analysis included 19 111 629 discharges (50.3% female; mean [SD] age, 63.0 [18.0] years) from 3283 hospitals in 36 states. In weeks 18 to 48 of 2020, 35 851 hospital-weeks (36.7%) had low COVID-19 admission rates, and 8094 (8.3%) had high rates. Quality indicators for patients without COVID-19 significantly worsened in 2020 during weeks with high vs low COVID-19 admissions. Pressure ulcer rates increased by 0.09 per 1000 admissions (95% CI, 0.01-0.17 per 1000 admissions; relative change, 24.3%), heart failure mortality increased by 0.40 per 100 admissions (95% CI, 0.18-0.63 per 100 admissions; relative change, 21.1%), hip fracture mortality increased by 0.40 per 100 admissions (95% CI, 0.04-0.77 per 100 admissions; relative change, 29.4%), and a weighted mean of mortality for the selected indicators increased by 0.30 per 100 admissions (95% CI, 0.14-0.45 per 100 admissions; relative change, 10.6%). Conclusions and Relevance: In this cross-sectional study, COVID-19 surges were associated with declines in hospital quality, highlighting the importance of identifying and implementing strategies to maintain care quality during periods of high hospital use.

Exploring the impact of compassion and leadership on patient safety and quality in healthcare systems: a narrative review.

BACKGROUND: Patient safety and healthcare quality are considered integral parts of the healthcare system that are driven by a dynamic combination of human and non-human factors. This review article provides an insight into the two major human factors that impact patient safety and quality including compassion and leadership. It also discusses how compassion is different from empathy and explores the impact of both compassion and leadership on patient safety and healthcare quality. In addition, this review also provides strategies for the improvement of patient safety and healthcare quality through compassion and effective leadership. METHODS: This narrative review explores the existing literature on compassion and leadership and their combined impact on patient safety and healthcare quality. The literature for this purpose was gathered from published research articles, reports, recommendations and guidelines. RESULTS: The findings from the literature suggest that both compassion and transformational leadership can create a positive culture where healthcare professionals (HCPs) prioritise patient safety and quality. Leaders who exhibit compassion are more likely to inspire their teams to deliver patient-centred care and focus on error prevention. CONCLUSION: Compassion can become an antidote for the burnout of HCPs. Compassion is a behaviour that is not only inherited but can also be learnt. Both compassionate care and transformational leadership improve organisational culture, patient experience, patient engagement, outcomes and overall healthcare excellence. We propose that transformational leadership that reinforces compassion remarkably improves patient safety, patient engagement and quality.

Calculation of Overall Hospital Quality Star Ratings With and Without Inclusion of the Peer Grouping Step.

Importance: The Centers for Medicare & Medicaid Services (CMS) Overall Star Rating is widely used by patients and consumers, and there is continued stakeholder curiosity surrounding the inclusion of a peer grouping step, implemented to the 2021 Overall Star Rating methods. Objective: To calculate hospital star rating scores with and without the peer grouping step, with the former approach stratifying hospitals into 3-, 4-, and 5-measure group peer groups based on the number of measure groups with at least 3 reported measures. Design, Setting, and Participants: This cross-sectional study used Care Compare website data from January 2023 for 3076 hospitals that received a star rating in 2023. Data were analyzed from April 2023 to December 2023. Exposure: Peer grouping vs no peer grouping. Main Outcomes and Measures: The primary outcome was the distribution of star ratings, with 1 star being the lowest-performing hospitals and 5 stars, the highest. Analyses additionally identified the number of hospitals with a higher, lower, or identical star rating with the use of the peer grouping step compared with its nonuse, stratified by certain hospital characteristics. Results: Among 3076 hospitals that received a star rating in 2023, most were nonspecialty (1994 hospitals [64.8%]), nonteaching (1807 hospitals [58.7%]), non-safety net (2326 hospitals [75.6%]), non-critical access (2826 hospitals [91.9%]) hospitals with fewer than 200 beds (1822 hospitals [59.2%]) and located in an urban geographic designations (1935 hospitals [62.9%]). The presence of the peer grouping step resulted in 585 hospitals (19.0%) being assigned a different star rating than if the peer grouping step was absent, including considerably more hospitals receiving a higher star rating (517 hospitals) rather than a lower (68 hospitals) star rating. Hospital characteristics associated with a higher star rating included urbanicity (351 hospitals [67.9%]), non-safety net status (414 hospitals [80.1%]), and fewer than 200 beds (287 hospitals [55.6%]). Collectively, the presence of the peer grouping step supports a like-to-like comparison among hospitals and supports the ability of patients to assess overall hospital quality. Conclusions and Relevance: In this cross-sectional study, inclusion of the peer grouping in the CMS star rating method resulted in modest changes in hospital star ratings compared with application of the method without peer grouping. Given improvement in face validity and the close association between the current peer grouping approach and stakeholder needs for peer-comparison, the current CMS Overall Star Rating method allows for durable comparisons in hospital performance.

Quality of health care for patients with coronary heart disease and comorbid mental disorders: a prospective cohort study.

BACKGROUND: Coronary heart disease (CHD) is often associated with mental disorders (MDs). Comorbid MDs reduce the quality of life and increase cardiac morbidity and mortality. Nevertheless, there is little and inconsistent research on the management of MDs in CHD patients. To bridge this gap, this study aims to gain insight into the long-term course of MD-related health care for patients with CHD, in order to identify opportunities for care improvement. METHODS: In this prospective cohort study, we investigated whether CHD patients with or without expert-rated MD at baseline (N = 364) received different MD-related health care from either their general practitioner (GP) or cardiologist at follow-up, M = 2.7 [2.0-4.0] years later. In the follow-up assessment, N = 131 CHD patients participated and received questionnaires capturing sociodemographic, mental health, and MD-related health care characteristics. Descriptive statistics, t-tests and chi-squared tests were used for analyses. RESULTS: We found significant differences in MD-related health care. CHD patients with MD were more likely to be examined psychologically/psychiatrically (MD 55.9%, non-MD 16.7%, p = < .001) and diagnosed with MD (MD 55.9%, non-MD 13.5%, p = .020) by their GP or cardiologist. Recommendations for and responses to requests for psychotherapy were more likely in MD patients compared to non-MD patients (MD 38.7%, non-MD 11.8%, p = .012 and MD 38.5%, non-MD 11.8%, p = .031, respectively). No significant differences were found concerning physicians' active demand for patients' mental health, referral to a specialist for additional diagnostics, provision of information about the diagnosed MD and further treatment options, response to the patients' request for psychopharmacotherapy, help received in finding psychotherapy or psychopharmacotherapy, and actual receipt of these treatments. CONCLUSIONS: The results indicate differences in MD-related health care of CHD patients with and without comorbid MD. However, they still highlight the need to further encourage primary care physicians treating CHD to adequately address MDs, provide further diagnostics, support, and information to affected patients. To address this, physicians may benefit from awareness training on the association between CHD and MDs and on appropriate communication with MD patients. TRIAL REGISTRATION: German clinical trials register (Deutsches Register Klinischer Studien, DRKS) Registration Number: ID DRKS00022154, date of registration: 02.11.2021.

Hospital Readmission Rates for Patients Receiving In-Person vs. Telemedicine Discharge Follow-Up Care.

INTRODUCTION: Unplanned readmissions can be avoided by standardizing and improving the coordination of care after discharge. Telemedicine has been increasingly utilized; however, the quality of this care has not been well studied. Standardized measures can provide an objective comparison of care quality. The purpose of our study was to compare quality performance transitions of care management in the office vs telemedicine. METHODS: The Epic SlicerDicer tool was used to compare the percentage of encounters that were completed via telemedicine (video visits); or via in-person for comparison, Chi-squared tests were used. RESULTS: A total of 13,891 patients met the inclusion criteria during the study time frame. There were 12,846 patients in the office and 1,048 in the telemedicine cohort. The office readmission rate was 11.9% with 1,533 patients out of 12,846 compared with telemedicine with the rate of readmission at 12.1% with 126 patients out of 1,045 patients. The P-value for the Chi-squared test between the prepandemic and study time frame was 0.15 and 0.95, respectively. Demographic comparability was seen. DISCUSSION: Our study found a comparable readmission rate between patients seen via in-office and telemedicine for Transitions of Care Management (TCM) encounters. The findings of this study support the growing body of evidence that telemedicine augments quality performance while reducing cost and improving access without negatively impacting HEDIS performance in health care systems. CONCLUSION: Telemedicine poses little threat of negatively impacting HEDIS performance and might be as effective as posthospitalization traditional office care transitions of care management.

Hospital competition and health outcomes: Evidence from acute myocardial infarction admissions in Germany.

Countries increasingly rely on competition among hospitals to improve health outcomes. However, there is limited empirical evidence on the effect of competition on health outcomes in Germany. We examined the effect of hospital competition on quality of care, which is assessed using health outcomes (risk-adjusted in-hospital and post-hospitalization mortality and cardiac-related readmissions), focusing on acute myocardial infarction (AMI) treatment. We obtained data on all hospital utilizations and mortality of 13.2% of the population from a large statutory health insurer and all AMI admission records from Diagnosis-Related Groups Statistic from 2015-19. We constructed the measures of hospital competition, which mitigates the possibility of endogeneity bias. The relationships between health outcomes and competition measures are estimated using linear probability models. Intense competition was associated with lower quality of care in terms of mortality and cardiac-related readmissions. Patients treated in hospitals facing high competition were 0.9 (1.2) percentage points more likely to die within 90 days (2 years) of admission, and 1.4 (1.6) percentage points more likely to be readmitted within 90 days (2 years) of discharge than patients treated in hospitals facing low competition. Our results indicate that hospital competition does not lead to better health outcomes for AMI patients in Germany. Therefore, additional measures are necessary to achieve quality improvement.

Influence of Health Insurance Types on Clinical Cancer Care Accessibility and Quality Using All of Us Database.

Background and Objectives: Cancer, as the second leading cause of death in the United States, poses a huge healthcare burden. Barriers to access to advanced therapies influence the outcome of cancer treatment. In this study, we examined whether insurance types affect the quality of cancer clinical care. Materials and Methods: Data for 13,340 cancer patients with Purchased or Medicaid insurance from the All of Us database were collected for this study. The chi-squared test of proportions was employed to determine the significance of patient cohort characteristics and the accessibility of healthcare services between the Purchased and Medicaid insurance groups. Results: Cancer patients who are African American, with lower socioeconomic status, or with lower educational attainment are more likely to be insured by Medicaid. An analysis of the survey questions demonstrated the relationship between income and education level and insurance type, as Medicaid cancer patients were less likely to receive primary care and specialist physician access and more likely to request lower-cost medications. Conclusions: The inequities of the US healthcare system are observed for cancer patient care; access to physicians and medications is highly varied and dependent on insurance types. Socioeconomic factors further influence insurance types, generating a significant impact on the overall clinical care quality for cancer patients that eventually determines treatment outcomes and the quality of life.

Characterizing provider bias in contraceptive care in Tanzania and Burkina Faso: A mixed-methods study.

Provider bias based on age, marital status, and parity may be a barrier to quality contraceptive care. However, the extent to which bias leads to disparities in care quality is not well understood. In this mixed-methods study, we used four different data sources from the same facilities to assess the extent of bias and how much it affects contraceptive care. First, we surveyed providers in Tanzania and Burkina Faso (N = 295) to assess provider attitudes about young, unmarried, and nulliparous clients. Second, mystery clients anonymously visited providers for contraceptive care and we randomly assigned the reported age, marital status, and parity of each visit (N = 306). We used data from these visits to investigate contraceptive care disparities across 3 domains: information provision and counseling quality, contraceptive method provision, and perceived treatment. Third, we complemented mystery client data with client exit surveys (N = 31,023) and client in-depth interviews (N = 36). In surveys, providers reported biased attitudes against young, unmarried, and nulliparous clients seeking contraceptives. Similarly, we found disparities according to these characteristics in the reporting of contraceptive care quality; however, we found that each characteristic affected a different quality of care domain. Among mystery clients we found age-related disparities in the provision of methods; 16/17-year-old clients were 18 and 11 percentage points less likely to perceive they could take a contraceptive method relative to 24-year-old clients in Tanzania and Burkina Faso, respectively. Unmarried mystery clients perceived worse treatment from providers compared to married clients. Nulliparous mystery clients reported lower quality contraceptive counseling than their parous counterparts. These results suggest that clients of different characteristics likely experience bias across different elements of care. Improving care quality and reducing disparities will require attention to which elements of care are deficient for different types of clients.

Service quality: perspective of people with type 2 diabetes mellitus and hypertension in rural and urban public primary healthcare centers in Iran.

OBJECTIVE: This study aimed to assess the service quality (SQ) for Type 2 diabetes mellitus (T2DM) and hypertension in primary healthcare settings from the perspective of service users in Iran. METHODS: The Cross-sectional study was conducted from January to March 2020 in urban and rural public health centers in the East Azerbaijan province of Iran. A total of 561 individuals aged 18 or above with either or both conditions of T2DM and hypertension were eligible to participate in the study. The study employed a two-step stratified sampling method in East Azerbaijan province, Iran. A validated questionnaire assessed SQ. Data were analyzed using One-way ANOVA and multiple linear regression statistical models in STATA-17. RESULTS: Among the 561 individuals who participated in the study 176 (31.3%) were individuals with hypertension, 165 (29.4%) with T2DM, and 220 (39.2%) with both hypertension and T2DM mutually. The participants' anthropometric indicators and biochemical characteristics showed that the mean Fasting Blood Glucose (FBG) in individuals with T2DM was 174.4 (Standard deviation (SD) = 73.57) in patients with T2DM without hypertension and 159.4 (SD = 65.46) in patients with both T2DM and hypertension. The total SQ scores were 82.37 (SD = 12.19), 82.48 (SD = 12.45), and 81.69 (SD = 11.75) for hypertension, T2DM, and both conditions, respectively. Among people with hypertension and without diabetes, those who had specific service providers had higher SQ scores (b = 7.03; p = 0.001) compared to their peers who did not have specific service providers. Those who resided in rural areas had lower SQ scores (b = -6.07; p = 0.020) compared to their counterparts in urban areas. In the group of patients with T2DM and without hypertension, those who were living in non-metropolitan cities reported greater SQ scores compared to patients in metropolitan areas (b = 5.09; p = 0.038). Additionally, a one-point increase in self-management total score was related with a 0.13-point decrease in SQ score (P = 0.018). In the group of people with both hypertension and T2DM, those who had specific service providers had higher SQ scores (b = 8.32; p < 0.001) compared to the group without specific service providers. CONCLUSION: Study reveals gaps in T2DM and hypertension care quality despite routine check-ups. Higher SQ correlates with better self-care. Improving service quality in primary healthcare settings necessitates a comprehensive approach that prioritizes patient empowerment, continuity of care, and equitable access to services, particularly for vulnerable populations in rural areas.

Health Equity Adjustment and Hospital Performance in the Medicare Value-Based Purchasing Program.

Importance: Medicare's Hospital Value-Based Purchasing (HVBP) program will provide a health equity adjustment (HEA) to hospitals that have greater proportions of patients dually eligible for Medicare and Medicaid and that offer high-quality care beginning in fiscal year 2026. However, which hospitals will benefit most from this policy change and to what extent are unknown. Objective: To estimate potential changes in hospital performance after HEA and examine hospital patient mix, structural, and geographic characteristics associated with receipt of increased payments. Design, Setting, and Participants: This cross-sectional study analyzed all 2676 hospitals participating in the HVBP program in fiscal year 2021. Publicly available data on program performance and hospital characteristics were linked to Medicare claims data on all inpatient stays for dual-eligible beneficiaries at each hospital to calculate HEA points and HVBP payment adjustments. Exposures: Hospital Value-Based Purchasing program HEA. Main Outcomes and Measures: Reclassification of HVBP bonus or penalty status and changes in payment adjustments across hospital characteristics. Results: Of 2676 hospitals participating in the HVBP program in fiscal year 2021, 1470 (54.9%) received bonuses and 1206 (45.1%) received penalties. After HEA, 102 hospitals (6.9%) were reclassified from bonus to penalty status, whereas 119 (9.9%) were reclassified from penalty to bonus status. At the hospital level, mean (SD) HVBP payment adjustments decreased by $4534 ($90 033) after HEA, ranging from a maximum reduction of $1 014 276 to a maximum increase of $1 523 765. At the aggregate level, net-positive changes in payment adjustments were largest among safety net hospitals ($28 971 708) and those caring for a higher proportion of Black patients ($15 468 445). The likelihood of experiencing increases in payment adjustments was significantly higher among safety net compared with non-safety net hospitals (574 of 683 [84.0%] vs 709 of 1993 [35.6%]; adjusted rate ratio [ARR], 2.04 [95% CI, 1.89-2.20]) and high-proportion Black hospitals compared with non-high-proportion Black hospitals (396 of 523 [75.7%] vs 887 of 2153 [41.2%]; ARR, 1.40 [95% CI, 1.29-1.51]). Rural hospitals (374 of 612 [61.1%] vs 909 of 2064 [44.0%]; ARR, 1.44 [95% CI, 1.30-1.58]), as well as those located in the South (598 of 1040 [57.5%] vs 192 of 439 [43.7%]; ARR, 1.25 [95% CI, 1.10-1.42]) and in Medicaid expansion states (801 of 1651 [48.5%] vs 482 of 1025 [47.0%]; ARR, 1.16 [95% CI, 1.06-1.28]), were also more likely to experience increased payment adjustments after HEA compared with their urban, Northeastern, and Medicaid nonexpansion state counterparts, respectively. Conclusions and Relevance: Medicare's implementation of HEA in the HVBP program will significantly reclassify hospital performance and redistribute program payments, with safety net and high-proportion Black hospitals benefiting most from this policy change. These findings suggest that HEA is an important strategy to ensure that value-based payment programs are more equitable.

Nurses' safety climate, quality of care, and standard precautions adherence and compliance: A cross-sectional study.

INTRODUCTION: Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach. DESIGN: Cross-sectional design complying with STROBE guidelines. METHODS: Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis. RESULTS: Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance. CONCLUSIONS: The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance. CLINICAL RELEVANCE: Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice. PATIENT OR PUBLIC CONTRIBUTION: This study had no patient contribution or public funding.

Measuring Equity in Readmission as a Distinct Assessment of Hospital Performance.

Importance: Equity is an essential domain of health care quality. The Centers for Medicare & Medicaid Services (CMS) developed 2 Disparity Methods that together assess equity in clinical outcomes. Objectives: To define a measure of equitable readmissions; identify hospitals with equitable readmissions by insurance (dual eligible vs non-dual eligible) or patient race (Black vs White); and compare hospitals with and without equitable readmissions by hospital characteristics and performance on accountability measures (quality, cost, and value). Design, Setting, and Participants: Cross-sectional study of US hospitals eligible for the CMS Hospital-Wide Readmission measure using Medicare data from July 2018 through June 2019. Main Outcomes and Measures: We created a definition of equitable readmissions using CMS Disparity Methods, which evaluate hospitals on 2 methods: outcomes for populations at risk for disparities (across-hospital method); and disparities in care within hospitals' patient populations (within-a-single-hospital method). Exposures: Hospital patient demographics; hospital characteristics; and 3 measures of hospital performance-quality, cost, and value (quality relative to cost). Results: Of 4638 hospitals, 74% served a sufficient number of dual-eligible patients, and 42% served a sufficient number of Black patients to apply CMS Disparity Methods by insurance and race. Of eligible hospitals, 17% had equitable readmission rates by insurance and 30% by race. Hospitals with equitable readmissions by insurance or race cared for a lower percentage of Black patients (insurance, 1.9% [IQR, 0.2%-8.8%] vs 3.3% [IQR, 0.7%-10.8%], P < .01; race, 7.6% [IQR, 3.2%-16.6%] vs 9.3% [IQR, 4.0%-19.0%], P = .01), and differed from nonequitable hospitals in multiple domains (teaching status, geography, size; P < .01). In examining equity by insurance, hospitals with low costs were more likely to have equitable readmissions (odds ratio, 1.57 [95% CI, 1.38-1.77), and there was no relationship between quality and value, and equity. In examining equity by race, hospitals with high overall quality were more likely to have equitable readmissions (odds ratio, 1.14 [95% CI, 1.03-1.26]), and there was no relationship between cost and value, and equity. Conclusion and Relevance: A minority of hospitals achieved equitable readmissions. Notably, hospitals with equitable readmissions were characteristically different from those without. For example, hospitals with equitable readmissions served fewer Black patients, reinforcing the role of structural racism in hospital-level inequities. Implementation of an equitable readmission measure must consider unequal distribution of at-risk patients among hospitals.

Quality of hospital care and clinical outcomes: a comparison between the Lombardy Region and the Italian national data.

Background: Improving the quality and effectiveness of healthcare is a key priority in health policy. The emergence of the COVID-19 pandemic has exerted considerable pressure on hospital networks, requiring unprecedented reorganization and restructuring actions. This study analyzed data from the Italian National Outcomes Program to compare some volumes and outcomes of public and private accredited hospitals in the Lombardy Region with national data. Study design: Observational study. Methods: A thorough examination of hospital outcomes between 2019 and 2021 was conducted, considering 45 volume indicators and 48 process and outcome indicators, comparing Lombardy with other Italian regions and public versus private accredited hospitals. Results: In 2020, Italy and Lombardy experienced a considerable reduction in overall hospital admissions, with Lombardy showing a deeper decline (21.3% compared with 16.0% in Italy). In 2021, both experienced a partial recovery, especially marked in the Lombardy region (+7.3%, compared with national data). Focusing specifically on the private sector in Lombardy, a recovery of +9.3% in hospitalization was observed. In the analysis of clinical outcomes, Lombardy outperformed the national average for 63% of the indicators in 2020 and 83.3% in 2021. Conclusions: The study shows the continuing decline in volumes compared to 2019 (pre-COVID), the excellent performance of hospitals in Lombardy and a relevant contribution for the volumes and the quality of outcomes of private accredited hospitals.

Changes in Hospital Adverse Events and Patient Outcomes Associated With Private Equity Acquisition.

Importance: The effects of private equity acquisitions of US hospitals on the clinical quality of inpatient care and patient outcomes remain largely unknown. Objective: To examine changes in hospital-acquired adverse events and hospitalization outcomes associated with private equity acquisitions of US hospitals. Design, Setting, and Participants: Data from 100% Medicare Part A claims for 662 095 hospitalizations at 51 private equity-acquired hospitals were compared with data for 4 160 720 hospitalizations at 259 matched control hospitals (not acquired by private equity) for hospital stays between 2009 and 2019. An event study, difference-in-differences design was used to assess hospitalizations from 3 years before to 3 years after private equity acquisition using a linear model that was adjusted for patient and hospital attributes. Main Outcomes and Measures: Hospital-acquired adverse events (synonymous with hospital-acquired conditions; the individual conditions were defined by the US Centers for Medicare & Medicaid Services as falls, infections, and other adverse events), patient mix, and hospitalization outcomes (including mortality, discharge disposition, length of stay, and readmissions). Results: Hospital-acquired adverse events (or conditions) were observed within 10 091 hospitalizations. After private equity acquisition, Medicare beneficiaries admitted to private equity hospitals experienced a 25.4% increase in hospital-acquired conditions compared with those treated at control hospitals (4.6 [95% CI, 2.0-7.2] additional hospital-acquired conditions per 10 000 hospitalizations, P = .004). This increase in hospital-acquired conditions was driven by a 27.3% increase in falls (P = .02) and a 37.7% increase in central line-associated bloodstream infections (P = .04) at private equity hospitals, despite placing 16.2% fewer central lines. Surgical site infections doubled from 10.8 to 21.6 per 10 000 hospitalizations at private equity hospitals despite an 8.1% reduction in surgical volume; meanwhile, such infections decreased at control hospitals, though statistical precision of the between-group comparison was limited by the smaller sample size of surgical hospitalizations. Compared with Medicare beneficiaries treated at control hospitals, those treated at private equity hospitals were modestly younger, less likely to be dually eligible for Medicare and Medicaid, and more often transferred to other acute care hospitals after shorter lengths of stay. In-hospital mortality (n = 162 652 in the population or 3.4% on average) decreased slightly at private equity hospitals compared with the control hospitals; there was no differential change in mortality by 30 days after hospital discharge. Conclusions and Relevance: Private equity acquisition was associated with increased hospital-acquired adverse events, including falls and central line-associated bloodstream infections, along with a larger but less statistically precise increase in surgical site infections. Shifts in patient mix toward younger and fewer dually eligible beneficiaries admitted and increased transfers to other hospitals may explain the small decrease in in-hospital mortality at private equity hospitals relative to the control hospitals, which was no longer evident 30 days after discharge. These findings heighten concerns about the implications of private equity on health care delivery.

The Volume and Cost of Quality Metric Reporting.

Importance: 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. Objective: To evaluate externally reported inpatient quality metrics for adult patients and estimate the cost of data collection and reporting, independent of quality-improvement efforts. Design, Setting, and Participants: 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. Main Outcomes and Measures: Outcomes included the number of metrics, annual person-hours per metric type, and annual personnel cost per metric type. Results: 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). Conclusions and Relevance: 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.

Quality of Care and Clinical Outcomes for Patients With Heart Failure at Hospitals Caring for a High Proportion of Black Adults: Get With The Guidelines-Heart Failure Registry.

Importance: Black adults with heart failure (HF) disproportionately experience higher population-level mortality than White adults with HF. Whether quality of care for HF differs at hospitals with high proportions of Black patients compared with other hospitals is unknown. Objective: To compare quality and outcomes for patients with HF at hospitals with high proportions of Black patients vs other hospitals. Design, Setting, and Participants: Patients hospitalized for HF at Get With The Guidelines (GWTG) HF sites from January 1, 2016, through December 1, 2019. These data were analyzed from May 2022 through November 2022. Exposures: Hospitals caring for high proportions of Black patients. Main Outcomes and Measures: Quality of HF care based on 14 evidence-based measures, overall defect-free HF care, and 30-day readmissions and mortality in Medicare patients. Results: This study included 422 483 patients (224 270 male [53.1%] and 284 618 White [67.4%]) with a mean age of 73.0 years. Among 480 hospitals participating in GWTG-HF, 96 were classified as hospitals with high proportions of Black patients. Quality of care was similar between hospitals with high proportions of Black patients compared with other hospitals for 11 of 14 GWTG-HF measures, including use of angiotensin-converting enzyme inhibitors/angiotensin receptor blocker/angiotensin receptor neprilysin inhibitors for left ventricle systolic dysfunction (high-proportion Black hospitals: 92.7% vs other hospitals: 92.4%; adjusted odds ratio [OR], 0.91; 95% CI, 0.65-1.27), evidence-based ß-blockers (94.7% vs 93.7%; OR, 1.02; 95% CI, 0.82-1.28), angiotensin receptor neprilysin inhibitors at discharge (14.3% vs 16.8%; OR, 0.74; 95% CI, 0.54-1.02), anticoagulation for atrial fibrillation/flutter (88.8% vs 87.5%; OR, 1.05; 95% CI, 0.76-1.45), and implantable cardioverter-defibrillator counseling/placement/prescription at discharge (70.9% vs 71.0%; OR, 0.75; 95% CI, 0.50-1.13). Patients at high-proportion Black hospitals were less likely to be discharged with a follow-up visit made within 7 days or less (70.4% vs 80.1%; OR, 0.68; 95% CI, 0.53-0.86), receive cardiac resynchronization device placement/prescription (50.6% vs 53.8%; OR, 0.63; 95% CI, 0.42-0.95), or an aldosterone antagonist (50.4% vs 53.5%; OR, 0.69; 95% CI, 0.50-0.97). Overall defect-free HF care was similar between both groups of hospitals (82.6% vs 83.4%; OR, 0.89; 95% CI, 0.67-1.19) and there were no significant within-hospital differences in quality for Black patients vs White patients. Among Medicare beneficiaries, the risk-adjusted hazard ratio (HR) for 30-day readmissions was higher at high-proportion Black vs other hospitals (HR, 1.14; 95% CI, 1.02-1.26), but similar for 30-day mortality (HR 0.92; 95% CI,0.84-1.02). Conclusions and Relevance: Quality of care for HF was similar across 11 of 14 measures at hospitals caring for high proportions of Black patients compared with other hospitals, as was overall defect-free HF care. There were no significant within-hospital differences in quality for Black patients vs White patients.

Patients satisfaction with dental service, school of dentistry, University of Costa Rica / Satisfacción de los usuarios del Servicio de Odontología, Universidad de Costa Rica

The objective of this research was to use the Dental Satisfaction Questionnaire to determine the level of patient's satisfaction who come to the School of Dentistry of the University of Costa Rica. The research was conducted with the entire population of patients who received dental care in the Undergraduate Student Clinics of the School of Dentistry between April and September 2021. A digital survey was generated with the questions of the DSQ and sociodemographic variables, which was sent by email. Descriptive statistics were performed to establish the absolute and relative frequency, as well as measures of central tendency and variability, according to the nature of the variables. The Kolmogorov-Smirnov test was used in the conformity assessment of the data for the normal distribution. The relationships between the scores obtained from the Dental Satisfaction Questionnaire and the sociodemographic variables were analyzed using the Mann-Whitney U Test and the Kruskal-Wallis Test. A response rate of 36% was obtained. 98.5% of the subjects were satisfied with the services received. There was a statistically significant difference between the frequency of visits and the dental satisfaction scale (p=0.001). The scoring by type of clinic with regards to access, pain management, cost and availability were statistically significant (p=0.001, p=0.014, p=0.001, p=0.001, respectively). The differences in the relationship between the age groups and access was significant (p=0.014); in addition to that between education level and cost (p=0.001). A large majority of patients who come to the services of the School of Dentistry UCR are satisfied with the service received.

El objetivo de esta investigación fue utilizar el cuestionario DSQ para determinar el nivel de satisfacción de los pacientes que acuden a la Facultad de Odontología de la UCR. La investigación se realizó con toda la población de pacientes que recibieron atención dental en las Clínicas de pregrado y grado de la Facultad de Odontología UCR entre abril y setiembre del 2021. Se generó una encuesta digital con las preguntas del cuestionario DSQ y variables sociodemográficas, la cual se envió por medio del correo electrónico. Se realizó estadística descriptiva estableciendo la frecuencia absoluta y relativa, así como medidas de tendencia central y variabilidad, según la naturaleza de las variables. La prueba de Kolmogorov-Smirnov fue utilizada en la evaluación de la conformidad de los datos para la distribución normal. Las relaciones entre las puntuaciones obtenidas del Cuestionario de Satisfacción Dental y las variables sociodemográficas se analizaron mediante las pruebas de Prueba U de Mann-Whitney y la Prueba de Kruskal-Wallis. Se obtuvo un índice de respuesta del 36%. El 98,5% de los sujetos estuvo satisfecho con los servicios recibidos. Hubo diferencia estadísticamente significativa entre la frecuencia de visitas y la escala de satisfacción dental (p=0,001). También hubo diferencia estadísticamente significativa entre las diferentes clínicas y el acceso, manejo del dolor, costo y disponibilidad (p=0,001, p=0,014, p=0,001, p=0,001, respectivamente). De igual forma, hubo diferencia significativa en los grupos de edad y el acceso (p=0,014) y entre el nivel educativo y el costo (p=0,001). Una gran mayoría de los pacientes que acuden a los servicios de la Facultad de Odontología UCR están satisfechos con el servicio recibido.