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.

Relation between pre-existing quality management measures and prevention and containment of COVID-19 outbreaks in 159 nursing homes in Tuscany: a mixed methods study

BACKGROUND

Nursing homes were often the focus of COVID-19 outbreaks. Many factors are known to influence the ability of a nursing home to prevent and contain a COVID-19 outbreak. The role of an organisation's quality management prior to the pandemic is not yet clear. In the Italian region of Tuscany nursing home performance indicators have been regularly collected since before the pandemic, providing the opportunity to better understand this relationship.

OBJECTIVES

To test if there is a difference in the results achieved by nursing homes in Tuscany on 13 quality management indicators, when grouped by severity of COVID-19 outbreaks; and to better understand how these indicators may be related to the ability to control COVID-19 outbreaks, from the perspective of nursing homes.

METHODS

We used a mixed methods sequential explanatory design. Based on regional and national databases, 159 nursing homes in Tuscany were divided into four groups by outbreak severity. We tested the significance of the differences between the groups with respect to 13 quality management indicators. The potential relation of these indicators to COVID-19 outbreaks was discussed with 29 managers and other nursing homes' staff through four group interviews.

RESULTS

The quantitative analysis showed significant differences between the groups of nursing homes for 3 of the 13 indicators. From the perspective of nursing homes, the indicators might not be good at capturing important aspects of the ability to control COVID-19 outbreaks. For example, while staffing availability is seen as essential, the staff-to-bed ratio does not capture the turn-over of staff and temporary absences due to positive COVID-19 testing of staff.

CONCLUSIONS

Though currently collected indicators are key for overall performance monitoring and improvement, further refinement of the set of quality management indicators is needed to clarify the relationship with nursing homes' ability to control COVID-19 outbreaks.

Evaluation of ICUs and weight of quality control indicators: an exploratory study based on Chinese ICU quality data from 2015 to 2020

This study aimed to explore key quality control factors that affected the prognosis of intensive care unit (ICU) patients in Chinese mainland over six years (2015-2020). The data for this study were from 31 provincial and municipal hospitals (3425 hospital ICUs) and included 2 110 685 ICU patients, for a total of 27 607 376 ICU hospitalization days. We found that 15 initially established quality control indicators were good predictors of patient prognosis, including percentage of ICU patients out of all inpatients (%), percentage of ICU bed occupancy of total inpatient bed occupancy (%), percentage of all ICU inpatients with an APACHE II score ⩾15 (%), three-hour (surviving sepsis campaign) SSC bundle compliance (%), six-hour SSC bundle compliance (%), rate of microbe detection before antibiotics (%), percentage of drug deep venous thrombosis (DVT) prophylaxis (%), percentage of unplanned endotracheal extubations (%), percentage of patients reintubated within 48 hours (%), unplanned transfers to the ICU (%), 48-h ICU readmission rate (%), ventilator associated pneumonia (VAP) (per 1000 ventilator days), catheter related blood stream infection (CRBSI) (per 1000 catheter days), catheter-associated urinary tract infections (CAUTI) (per 1000 catheter days), in-hospital mortality (%). When exploratory factor analysis was applied, the 15 indicators were divided into 6 core elements that varied in weight regarding quality evaluation: nosocomial infection management (21.35%), compliance with the Surviving Sepsis Campaign guidelines (17.97%), ICU resources (17.46%), airway management (15.53%), prevention of deep-vein thrombosis (14.07%), and severity of patient condition (13.61%). Based on the different weights of the core elements associated with the 15 indicators, we developed an integrated quality scoring system defined as F score=21.35%xnosocomial infection management + 17.97%xcompliance with SSC guidelines + 17.46%×ICU resources + 15.53%×airway management + 14.07%×DVT prevention + 13.61%×severity of patient condition. This evidence-based quality scoring system will help in assessing the key elements of quality management and establish a foundation for further optimization of the quality control indicator system.

Readmission Reduction as a Hospital Quality Measure: Time to Move on to More Pressing Concerns?

The authors of this Viewpoint argue that the focus on hospital readmission rates as a measure of quality during the past decade, although undoubtedly leading to some improvements in care, has had minimal demonstrable benefit and has even distracted clinicians and health system leaders from other crucial quality concerns.

A population-based study of administrative data linkage to measure melanoma surgical and pathology quality

Background

Continuous quality improvement is important for cancer systems. However, collecting and compiling quality indicator data can be time-consuming and resource-intensive. Here we explore the utility and feasibility of linked routinely collected health data to capture key elements of quality of care for melanoma in a single-payer, universal health care setting.

Method

This pilot study utilized a retrospective population-based cohort from a previously developed linked administrative data set, with a 65% random sample of all invasive cutaneous melanoma cases diagnosed 2007–2012 in the province of Ontario. Data from the Ontario Cancer Registry was utilized, supplemented with linked pathology report data from Cancer Care Ontario, and other linked administrative data describing health care utilization. Quality indicators identified through provincial guidelines and international consensus were evaluated for potential collection with administrative data and measured where possible.

Results

A total of 7,654 cases of melanoma were evaluated. Ten of 25 (40%) candidate quality indicators were feasible to be collected with the available administrative data. Many indicators (8/25) could not be measured due to unavailable clinical information (e.g. width of clinical margins). Insufficient pathology information (6/25) or health structure information (1/25) were less common reasons. Reporting of recommended variables in pathology reports varied from 65.2% (satellitosis) to 99.6% (body location). For stage IB-II or T1b-T4a melanoma patients where SLNB should be discussed, approximately two-thirds met with a surgeon experienced in SLNB. Of patients undergoing full lymph node dissection, 76.2% had adequate evaluation of the basin.

Conclusions

We found that use of linked administrative data sources is feasible for measurement of melanoma quality in some cases. In those cases, findings suggest opportunities for quality improvement. Consultation with surgeons offering SLNB was limited, and pathology report completeness was sub-optimal, but was prior to routine synoptic reporting. However, to measure more quality indicators, text-based data sources will require alternative approaches to manual collection such as natural language processing or standardized collection. We recommend development of robust data platforms to support continuous re-evaluation of melanoma quality indicators, with the goal of optimizing quality of care for melanoma patients on an ongoing basis.

Applicability of contemporary quality indicators in vestibular surgery-do they accurately measure tumor inherent postoperative complications of vestibular schwannomas?

Background

Due to rising costs in health care delivery, reimbursement decisions have progressively been based on quality measures. Such quality indicators have been developed for neurosurgical procedures, collectively. We aimed to evaluate their applicability in patients that underwent surgery for vestibular schwannoma and to identify potential new disease-specific quality indicators.

Methods

One hundred and three patients operated due to vestibular schwannoma were subject to analysis. The primary outcomes of interest were 30-day and 90-day reoperation, readmission, mortality, nosocomial infection and surgical site infection (SSI) rates, postoperative cerebral spinal fluid (CSF) leak, facial, and hearing function. The secondary aim was the identification of prognostic factors for the mentioned primary outcomes.

Results

Thirty-day (90-days) outcomes in terms of reoperation were 10.7% (14.6%), readmission 9.7% (13.6%), mortality 1% (1%), nosocomial infection 5.8%, and SSI 1% (1%). A 30- versus 90-day outcome in terms of CSF leak were 6.8% vs. 10.7%, new facial nerve palsy 16.5% vs. 6.1%. Hearing impairment from serviceable to non-serviceable hearing was 6.8% at both 30- and 90-day outcome. The degree of tumor extension has a significant impact on reoperation (p < 0.001), infection (p = 0.015), postoperative hemorrhage (p < 0.001), and postoperative hearing loss (p = 0.026).

Conclusions

Our data demonstrate the importance of entity-specific quality measurements being applied even after 30 days. We identified the occurrence of a CSF leak within 90 days postoperatively, new persistent facial nerve palsy still present 90 days postoperatively, and persisting postoperative hearing impairment to non-serviceable hearing as potential new quality measurement variables for patients undergoing surgery for vestibular schwannoma.

Significant Gains in Rheumatoid Arthritis Quality Measures Among RISE Registry Practices

OBJECTIVE

Using the American College of Rheumatology Rheumatology Informatics System for Effectiveness (RISE) registry, our objective was to examine performance on rheumatoid arthritis (RA) quality measures and to assess the association between practice characteristics and changes in performance over time among participating practices.

METHODS

We analyzed data from practices enrolled in RISE between January 1, 2015 and December 31, 2017. Eight quality measures in the areas of RA disease management, cardiovascular risk reduction, and patient safety were examined. Variability in performance was evaluated at the practice level. Multivariate linear models were used to predict change in measure performance by year and to determine the effect of practice characteristics on change in performance over time.

RESULTS

Data from 59,986 patients from 54 practices were examined. The mean ± SD age was 62 ± 14 years, 77% were female, 69% were Caucasian, and most patients were seen in a single-specialty group practice (46%). The average performance on measures related to RA treatments was consistently high (>90%) across the study period. Measures related to RA functional status and disease activity assessment had the greatest improvements over time (8.4% and 13.0% increase per year, respectively; P < 0.001). Single-specialty group practices had the fastest rates of improvement over time across all measures.

CONCLUSION

Among practices participating in RISE between 2015 and 2017, performance on most RA quality measures improved. Single-specialty group practices saw the fastest rates of improvement over time. Identification of workflow patterns leading to dramatic improvements in quality of care will help guide process redesign to address gaps in priority areas, such as tuberculosis screening and blood pressure control.

The 2018 Merit-based Incentive Payment System: Participation, Performance, and Payment Across Specialties

BACKGROUND

The Merit-based Incentive Payment System (MIPS) incorporates financial incentives and penalties intended to drive clinicians towards value-based purchasing, including alternative payment models (APMs). Newly available Medicare-approved qualified clinical data registries (QCDRs) offer specialty-specific quality measures for clinician reporting, yet their impact on clinician performance and payment adjustments remains unknown.

OBJECTIVES

We sought to characterize clinician participation, performance, and payment adjustments in the MIPS program across specialties, with a focus on clinician use of QCDRs.

RESEARCH DESIGN

We performed a cross-sectional analysis of the 2018 MIPS program.

RESULTS

During the 2018 performance year, 558,296 clinicians participated in the MIPS program across the 35 specialties assessed. Clinicians reporting as individuals had lower overall MIPS performance scores (median [interquartile range (IQR)], 80.0 [39.4-98.4] points) than those reporting as groups (median [IQR], 96.3 [76.9-100.0] points), who in turn had lower adjustments than clinicians reporting within MIPS APMs (median [IQR], 100.0 [100.0-100.0] points) (P<0.001). Clinicians reporting as individuals had lower payment adjustments (median [IQR], +0.7% [0.1%-1.6%]) than those reporting as groups (median [IQR], +1.5% [0.6%-1.7%]), who in turn had lower adjustments than clinicians reporting within MIPS APMs (median [IQR], +1.7% [1.7%-1.7%]) (P<0.001). Within a subpopulation of 202,685 clinicians across 12 specialties commonly using QCDRs, clinicians had overall MIPS performance scores and payment adjustments that were significantly greater if reporting at least 1 QCDR measure compared with those not reporting any QCDR measures.

CONCLUSIONS

Collectively, these findings highlight that performance score and payment adjustments varied by reporting affiliation and QCDR use in the 2018 MIPS.

Association Between the Physician Quality Score in the Merit-Based Incentive Payment System and Hospital Performance in Hospital Compare in the First Year of the Program

IMPORTANCE

The scientific validity of the Merit-Based Incentive Payment System (MIPS) quality score as a measure of hospital-level patient outcomes is unknown.

OBJECTIVE

To examine whether better physician performance on the MIPS quality score is associated with better hospital outcomes.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study of 38 830 physicians used data from the Centers for Medicare & Medicaid Services (CMS) Physician Compare (2017) merged with CMS Hospital Compare data. Data analysis was conducted from September to November 2020.

MAIN OUTCOMES AND MEASURES

Linear regression was used to examine the association between physician MIPS quality scores aggregated at the hospital level and hospitalwide measures of (1) postoperative complications, (2) failure to rescue, (3) individual postoperative complications, and (4) readmissions.

RESULTS

The study cohort of 38 830 clinicians (5198 [14.6%] women; 12 103 [31.6%] with 11-20 years in practice) included 6580 (17.2%) general surgeons, 8978 (23.4%) orthopedic surgeons, 1617 (4.2%) vascular surgeons, 582 (1.5%) cardiac surgeons, 904 (2.4%) thoracic surgeons, 18 149 (47.4%) anesthesiologists, and 1520 (4.0%) intensivists at 3055 hospitals. The MIPS quality score was not associated with the hospital composite rate of postoperative complications. MIPS quality scores for vascular surgeons in the 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.55-percentage point higher hospital rate of failure to rescue (95% CI, 0.06-1.04 percentage points; P = .03). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile, compared with those in the 51st to 100th percentile, were associated with a 0.41-percentage point higher hospital coronary artery bypass graft (CABG) mortality rate (95% CI, 0.10-0.71 percentage points; P = .01). MIPS quality scores for cardiac surgeons in the 1st to 10th percentile and 11th to 25th percentile, compared with those in the 51st to 100th percentile, were associated with 0.65-percentage point (95% CI, 0.013-1.16 percentage points; P = .02) and 0.48-percentage point (95% CI, 0.07-0.90 percentage points; P = .02) higher hospital CABG readmission rates, respectively.

CONCLUSIONS AND RELEVANCE

In this study, better performance on the physician MIPS quality score was associated with better hospital surgical outcomes for some physician specialties during the first year of MIPS.

Global surgery, obstetric, and anaesthesia indicator definitions and reporting: An Utstein consensus report

BACKGROUND

Indicators to evaluate progress towards timely access to safe surgical, anaesthesia, and obstetric (SAO) care were proposed in 2015 by the Lancet Commission on Global Surgery. These aimed to capture access to surgery, surgical workforce, surgical volume, perioperative mortality rate, and catastrophic and impoverishing financial consequences of surgery. Despite being rapidly taken up by practitioners, data points from which to derive the indicators were not defined, limiting comparability across time or settings. We convened global experts to evaluate and explicitly define-for the first time-the indicators to improve comparability and support achievement of 2030 goals to improve access to safe affordable surgical and anaesthesia care globally.

METHODS AND FINDINGS

The Utstein process for developing and reporting guidelines through a consensus building process was followed. In-person discussions at a 2-day meeting were followed by an iterative process conducted by email and virtual group meetings until consensus was reached. The meeting was held between June 16 to 18, 2019; discussions continued until August 2020. Participants consisted of experts in surgery, anaesthesia, and obstetric care, data science, and health indicators from high-, middle-, and low-income countries. Considering each of the 6 indicators in turn, we refined overarching descriptions and agreed upon data points needed for construction of each indicator at current time (basic data points), and as each evolves over 2 to 5 (intermediate) and >5 year (full) time frames. We removed one of the original 6 indicators (one of 2 financial risk protection indicators was eliminated) and refined descriptions and defined data points required to construct the 5 remaining indicators: geospatial access, workforce, surgical volume, perioperative mortality, and catastrophic expenditure. A strength of the process was the number of people from global institutes and multilateral agencies involved in the collection and reporting of global health metrics; a limitation was the limited number of participants from low- or middle-income countries-who only made up 21% of the total attendees.

CONCLUSIONS

To track global progress towards timely access to quality SAO care, these indicators-at the basic level-should be implemented universally as soon as possible. Intermediate and full indicator sets should be achieved by all countries over time. Meanwhile, these evolutions can assist in the short term in developing national surgical plans and collecting more detailed data for research studies.

A Gastrointestinal Endoscopy Quality Control System Incorporated With Deep Learning Improved Endoscopist Performance in a Pretest and Post-Test Trial

INTRODUCTION

Gastrointestinal endoscopic quality is operator-dependent. To ensure the endoscopy quality, we constructed an endoscopic audit and feedback system named Endo.Adm and evaluated its effect in a form of pretest and posttest trial.

METHODS

Endo.Adm system was developed using Python and Deep Convolutional Neural Ne2rk models. Sixteen endoscopists were recruited from Renmin Hospital of Wuhan University and were randomly assigned to undergo feedback of Endo.Adm or not (8 for the feedback group and 8 for the control group). The feedback group received weekly quality report cards which were automatically generated by Endo.Adm. We then compared the adenoma detection rate (ADR) and gastric precancerous conditions detection rate between baseline and postintervention phase for endoscopists in each group to evaluate the impact of Endo.Adm feedback. In total, 1,191 colonoscopies and 3,515 gastroscopies were included for analysis.

RESULTS

ADR was increased after Endo.Adm feedback (10.8%-20.3%, P < 0.01,

DISCUSSION

Endo.Adm feedback contributed to multifaceted gastrointestinal endoscopic quality improvement. This system is practical to implement and may serve as a standard model for quality improvement in routine work (http://www.chictr.org.cn/, ChiCTR1900024153).

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Key Words Collapse

MESH Headings

• Adenoma/diagnostic imaging
• Adenoma/epidemiology
• Adult
• China
• Clinical Competence
• Colonoscopy/standards
• Deep Learning
• Early Detection of Cancer
• Feedback
• Female
• Humans
• Male
• Middle Aged
• Quality Improvement
• Quality Indicators, Health Care/statistics & numerical data
• Risk Factors

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Affiliation(s)

Liwen Yao Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Jun Liu Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Lianlian Wu Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Lihui Zhang Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Xiao Hu Wuhan ENDOANGEL Medical Technology Company, Wuhan, China;
Jinzhu Liu Wuhan ENDOANGEL Medical Technology Company, Wuhan, China;
Zihua Lu Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Dexin Gong Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Ping An Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Jun Zhang Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Guiying Hu Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Di Chen Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Renquan Luo Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;
Shan Hu Wuhan ENDOANGEL Medical Technology Company, Wuhan, China;
Yanning Yang Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan, China.
Honggang Yu Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China; Key Laboratory of Hubei Province for Digestive System Disease, Renmin Hospital of Wuhan University, Wuhan, China; Hubei Provincial Clinical Research Center for Digestive Disease Minimally Invasive Incision, Renmin Hospital of Wuhan University, Wuhan, China;

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Quality of end-of-life care of home-based care with or without palliative services for patients with advanced illnesses

Palliative care has improved quality of end-of-life (EOL) care for patients with cancer, and these benefits may be extended to patients with other serious illnesses. EOL care quality for patients with home-based care is a critical problem for health care providers. We compare EOL quality care between patients with advanced illnesses receiving home-based care with and without palliative services.The medical records of deceased patients who received home-based care at a community teaching hospital in south Taiwan from January to December 2019 were collected retrospectively. We analyzed EOL care quality indicators during the last month of life.A total of 164 patients were included for analysis. Fifty-two (31.7%) received palliative services (HP group), and 112 (68.3%) did not receive palliative services (non-HP group). Regarding the quality indicators of EOL care, we discovered that a lower percentage of the HP group died in a hospital than did that of the non-HP group (34.6% vs 62.5%, P = .001) through univariate analysis. We found that the HP group had lower scores on the aggressiveness of EOL care than did the non-HP group (0.5 ± 0.9 vs 1.0 ± 1.0, P<.001). Furthermore, palliative services were a significant and negative factor of dying in a hospital after adjustment (OR = 0.13, 95%CI = 0.05-0.36, P < .001).For patients with advanced illnesses receiving home-based care, palliative services are associated with lower scores on the aggressiveness of EOL care and a reduced probability of dying in a hospital.

Predictors of patient safety culture in hospitals in Venezuela: A cross-sectional study

An organization's culture with regard to patient safety is important because it defines the beliefs and practices of the organization, and consequently its efficiency and productivity.Knowing the level of this and the factors that influence or not their dynamic represents a challenge, due to the degree of complexity and specificity of the elements involved.The aim of this study was to analyze predictors of patient safety culture in public and private hospitals and examining the factors that contribute to it, constructing a new and specific theoretical and methodological model.This study was carried out by reviewing medical records, detecting healthcare professionals directly involved in caring (N = 588), for patients in 2 public hospitals and 2 private hospitals in Venezuela (N = 566), conducting an "Analysis of Patient Safety Culture" questionnaire. The results were subsequently analyzed, derived 3 predictors factors and using a Patient Safety Culture Index (PSCI) for specific determination to evaluate patient safety culture level.The analysis showed that all hospitals had a "moderately unfavorable" PSCI (public = 52.96, private = 52.67, sig = 0.90). The PSCI was calculated by assessing the weight of the following factors in the index: occupational factors (factor loading = 32.03), communication factors (factor loading = 11.83), and organizational factors (factor loading = 9.10). Traumatology presented the lowest PSCI of all the care units, falling into the "unfavorable" category (36.48), and Laboratory the highest (70.02) (sig = 0.174), falling into the "moderately favorable" category. When analyzing professional groups, nurses had the highest PSCI, with a "moderately unfavorable" rating (PSCI = 61.1) and medical residents the lowest, falling into the "unfavorable" category (35.2). Adverse event reporting is determined by "management expectations and actions" (sig = 0.048) and "direct interaction with the patient" (sig = 0.049).The use of this theoretical and methodological approach in other contexts may provide a more objective system for identifying more specific needs and factors that influence in patient safety culture, and consequently, opportunities for improvement when constructing a patient safety culture in healthcare institutions. Efforts need to be made to improve safety culture in the hospitals studied, irrespective of whether they are public or private.

Incorporating Present-on-Admission Indicators in Medicare Claims to Inform Hospital Quality Measure Risk Adjustment Models

Importance

Present-on-admission (POA) indicators in administrative claims data allow researchers to distinguish between preexisting conditions and those acquired during a hospital stay. The impact of adding POA information to claims-based measures of hospital quality has not yet been investigated to better understand patient underlying risk factors in the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision setting.

Objective

To assess POA indicator use on Medicare claims and to assess the hospital- and patient-level outcomes associated with incorporating POA indicators in identifying risk factors for publicly reported outcome measures used by the Centers for Medicare & Medicaid Services (CMS).

Design, Setting, and Participants

This comparative effectiveness study used national CMS claims data between July 1, 2015, and June 30, 2018. Six hospital quality measures assessing readmission and mortality outcomes were modified to include POA indicators in risk adjustment models. The models using POA were then compared with models using the existing complications-of-care algorithm to evaluate changes in risk model performance. Patient claims data were included for all Medicare fee-for-service and Veterans Administration beneficiaries aged 65 years or older with inpatient hospitalizations for acute myocardial infarction, heart failure, or pneumonia within the measurement period. Data were analyzed between September 2019 and March 2020.

Main Outcomes and Measures

Changes in patient-level (C statistics) and hospital-level (quintile shifts in risk-standardized outcome rates) model performance after including POA indicators in risk adjustment.

Results

Data from a total of 6 027 988 index admissions were included for analysis, ranging from 491 366 admissions (269 209 [54.8%] men; mean [SD] age, 78.2 [8.3] years) for the acute myocardial infarction mortality outcome measure to 1 395 870 admissions (677 158 [48.5%] men; mean [SD] age, 80.3 [8.7] years) for the pneumonia readmission measure. Use of POA indicators was associated with improvements in risk adjustment model performance, particularly for mortality measures (eg, the C statistic increased from 0.728 [95% CI, 0.726-0.730] to 0.774 [95% CI, 0.773-0.776] when incorporating POA indicators into the acute myocardial infarction mortality measure).

Conclusions and Relevance

The findings of this quality improvement study suggest that leveraging POA indicators in the risk adjustment methodology for hospital quality outcome measures may help to more fully capture patients' risk factors and improve overall model performance. Incorporating POA indicators does not require extra effort on the part of hospitals and would be easy to implement in publicly reported quality outcome measures.

The Diagnostic Error Index: A Quality Improvement Initiative to Identify and Measure Diagnostic Errors

OBJECTIVE

To develop a diagnostic error index (DEI) aimed at providing a practical method to identify and measure serious diagnostic errors.

STUDY DESIGN

A quality improvement (QI) study at a quaternary pediatric medical center. Five well-defined domains identified cases of potential diagnostic errors. Identified cases underwent an adjudication process by a multidisciplinary QI team to determine if a diagnostic error occurred. Confirmed diagnostic errors were then aggregated on the DEI. The primary outcome measure was the number of monthly diagnostic errors.

RESULTS

From January 2017 through June 2019, 105 cases of diagnostic error were identified. Morbidity and mortality conferences, institutional root cause analyses, and an abdominal pain trigger tool were the most frequent domains for detecting diagnostic errors. Appendicitis, fractures, and nonaccidental trauma were the 3 most common diagnoses that were missed or had delayed identification.

CONCLUSIONS

A QI initiative successfully created a pragmatic approach to identify and measure diagnostic errors by utilizing a DEI. The DEI established a framework to help guide future initiatives to reduce diagnostic errors.

Survey of women's report for 33 maternal and newborn indicators: EN-BIRTH multi-country validation study

BACKGROUND

Population-based household surveys, notably the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), remain the main source of maternal and newborn health data for many low- and middle-income countries. As part of the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study, this paper focuses on testing validity of measurement of maternal and newborn indicators around the time of birth (intrapartum and postnatal) in survey-report.

METHODS

EN-BIRTH was an observational study testing the validity of measurement for selected maternal and newborn indicators in five secondary/tertiary hospitals in Bangladesh, Nepal and Tanzania, conducted from July 2017 to July 2018. We compared women's report at exit survey with the gold standard of direct observation or verification from clinical records for women with vaginal births. Population-level validity was assessed by validity ratios (survey-reported coverage: observer-assessed coverage). Individual-level accuracy was assessed by sensitivity, specificity and percent agreement. We tested indicators already in DHS/MICS as well as indicators with potential to be included in population-based surveys, notably the first validation for small and sick newborn care indicators.

RESULTS

33 maternal and newborn indicators were evaluated. Amongst nine indicators already present in DHS/MICS, validity ratios for baby dried or wiped, birthweight measured, low birthweight, and sex of baby (female) were between 0.90-1.10. Instrumental birth, skin-to-skin contact, and early initiation of breastfeeding were highly overestimated by survey-report (2.04-4.83) while umbilical cord care indicators were massively underestimated (0.14-0.22). Amongst 24 indicators not currently in DHS/MICS, two newborn contact indicators (kangaroo mother care 1.00, admission to neonatal unit 1.01) had high survey-reported coverage amongst admitted newborns and high sensitivity. The remaining indicators did not perform well and some had very high "don't know" responses.

CONCLUSIONS

Our study revealed low validity for collecting many maternal and newborn indicators through an exit survey instrument, even with short recall periods among women with vaginal births. Household surveys are already at risk of overload, and some specific clinical care indicators do not perform well and may be under-powered. Given that approximately 80% of births worldwide occur in facilities, routine registers should also be explored to track coverage of key maternal and newborn health interventions, particularly for clinical care.

Respectful maternal and newborn care: measurement in one EN-BIRTH study hospital in Nepal

BACKGROUND

Respectful maternal and newborn care (RMNC) is an important component of high-quality care but progress is impeded by critical measurement gaps for women and newborns. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study was an observational study with mixed methods assessing measurement validity for coverage and quality of maternal and newborn indicators. This paper reports results regarding the measurement of respectful care for women and newborns.

METHODS

At one EN-BIRTH study site in Pokhara, Nepal, we included additional questions during exit-survey interviews with women about their experiences (July 2017-July 2018). The questionnaire was based on seven mistreatment typologies: Physical; Sexual; or Verbal abuse; Stigma/discrimination; Failure to meet professional standards of care; Poor rapport between women and providers; and Health care denied due to inability to pay. We calculated associations between these typologies and potential determinants of health - ethnicity, age, sex, mode of birth - as possible predictors for reporting poor care.

RESULTS

Among 4296 women interviewed, none reported physical, sexual, or verbal abuse. 15.7% of women were dissatisfied with privacy, and 13.0% of women reported their birth experience did not meet their religious and cultural needs. In descriptive analysis, adjusted odds ratios and multivariate analysis showed primiparous women were less likely to report respectful care (β = 0.23, p-value < 0.0001). Women from Madeshi (a disadvantaged ethnic group) were more likely to report poor care (β = - 0.34; p-value 0.037) than women identifying as Chettri/Brahmin. Women who had caesarean section were less likely to report poor care during childbirth (β = - 0.42; p-value < 0.0001) than women with a vaginal birth. However, babies born by caesarean had a 98% decrease in the odds (aOR = 0.02, 95% CI, 0.01-0.05) of receiving skin-to-skin contact than those with vaginal births.

CONCLUSIONS

Measurement of respectful care at exit interview after hospital birth is challenging, and women generally reported 100% respectful care for themselves and their baby. Specific questions, with stratification by mode of birth, women's age and ethnicity, are important to identify those mistreated during care and to prioritise action. More research is needed to develop evidence-based measures to track experience of care, including zero separation for the mother-newborn pair, and to improve monitoring.

Antibiotic use for inpatient newborn care with suspected infection: EN-BIRTH multi-country validation study

BACKGROUND

An estimated 30 million neonates require inpatient care annually, many with life-threatening infections. Appropriate antibiotic management is crucial, yet there is no routine measurement of coverage. The Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study aimed to validate maternal and newborn indicators to inform measurement of coverage and quality of care. This paper reports validation of reported antibiotic coverage by exit survey of mothers for hospitalized newborns with clinically-defined infections, including sepsis, meningitis, and pneumonia.

METHODS

EN-BIRTH study was conducted in five hospitals in Bangladesh, Nepal, and Tanzania (July 2017-July 2018). Neonates were included based on case definitions to focus on term/near-term, clinically-defined infection syndromes (sepsis, meningitis, and pneumonia), excluding major congenital abnormalities. Clinical management was abstracted from hospital inpatient case notes (verification) which was considered as the gold standard against which to validate accuracy of women's report. Exit surveys were conducted using questions similar to The Demographic and Health Surveys (DHS) approach for coverage of childhood pneumonia treatment. We compared survey-report to case note verified, pooled across the five sites using random effects meta-analysis.

RESULTS

A total of 1015 inpatient neonates admitted in the five hospitals met inclusion criteria with clinically-defined infection syndromes. According to case note verification, 96.7% received an injectable antibiotic, although only 14.5% of them received the recommended course of at least 7 days. Among women surveyed (n = 910), 98.8% (95% CI: 97.8-99.5%) correctly reported their baby was admitted to a neonatal ward. Only 47.1% (30.1-64.5%) reported their baby's diagnosis in terms of sepsis, meningitis, or pneumonia. Around three-quarters of women reported their baby received an injection whilst in hospital, but 12.3% reported the correct antibiotic name. Only 10.6% of the babies had a blood culture and less than 1% had a lumbar puncture.

CONCLUSIONS

Women's report during exit survey consistently underestimated the denominator (reporting the baby had an infection), and even more so the numerator (reporting known injectable antibiotics). Admission to the neonatal ward was accurately reported and may have potential as a contact point indicator for use in household surveys, similar to institutional births. Strengthening capacity and use of laboratory diagnostics including blood culture are essential to promote appropriate use of antibiotics. To track quality of neonatal infection management, we recommend using inpatient records to measure specifics, requiring more research on standardised inpatient records.

Birthweight: EN-BIRTH multi-country validation study

BACKGROUND

Accurate birthweight is critical to inform clinical care at the individual level and tracking progress towards national/global targets at the population level. Low birthweight (LBW) < 2500 g affects over 20.5 million newborns annually. However, data are lacking and may be affected by heaping. This paper evaluates birthweight measurement within the Every Newborn Birth Indicators Research Tracking in Hospitals (EN-BIRTH) study.

METHODS

The EN-BIRTH study took place in five hospitals in Bangladesh, Nepal and Tanzania (2017-2018). Clinical observers collected time-stamped data (gold standard) for weighing at birth. We compared accuracy for two data sources: routine hospital registers and women's report at exit interview survey. We calculated absolute differences and individual-level validation metrics. We analysed birthweight coverage and quality gaps including timing and heaping. Qualitative data explored barriers and enablers for routine register data recording.

RESULTS

Among 23,471 observed births, 98.8% were weighed. Exit interview survey-reported weighing coverage was 94.3% (90.2-97.3%), sensitivity 95.0% (91.3-97.8%). Register-reported coverage was 96.6% (93.2-98.9%), sensitivity 97.1% (94.3-99%). Routine registers were complete (> 98% for four hospitals) and legible > 99.9%. Weighing of stillbirths varied by hospital, ranging from 12.5-89.0%. Observed LBW rate was 15.6%; survey-reported rate 14.3% (8.9-20.9%), sensitivity 82.9% (75.1-89.4%), specificity 96.1% (93.5-98.5%); register-recorded rate 14.9%, sensitivity 90.8% (85.9-94.8%), specificity 98.5% (98-99.0%). In surveys, "don't know" responses for birthweight measured were 4.7%, and 2.9% for knowing the actual weight. 95.9% of observed babies were weighed within 1 h of birth, only 14.7% with a digital scale. Weight heaping indices were around two-fold lower using digital scales compared to analogue. Observed heaping was almost 5% higher for births during the night than day. Survey-report further increased observed birthweight heaping, especially for LBW babies. Enablers to register birthweight measurement in qualitative interviews included digital scale availability and adequate staffing.

CONCLUSIONS

Hospital registers captured birthweight and LBW prevalence more accurately than women's survey report. Even in large hospitals, digital scales were not always available and stillborn babies not always weighed. Birthweight data are being captured in hospitals and investment is required to further improve data quality, researching of data flow in routine systems and use of data at every level.

Comparison of clinical outcomes between nurse practitioner and registrar-led medical emergency teams: a propensity-matched analysis

OBJECTIVE

Medical emergency teams (MET) are mostly led by physicians. Some hospitals are currently using nurse practitioners (NP) to lead MET calls. These are no studies comparing clinical outcomes between these two care models. To determine whether NP-led MET calls are associated with lower risk of acute patient deterioration, when compared to intensive care (ICU) registrar (ICUR)-led MET calls.

METHODS

The composite primary outcome included recurrence of MET call, occurrence of code blue or ICU admission within 24 h. Secondary outcomes were mortality within 24 h of MET call, length of hospital stay, hospital mortality and proportion of patients discharged home. Propensity score matching was used to reduce selection bias from confounding factors between the ICUR and NP group.

RESULTS

A total of 1343 MET calls were included (1070 NP, 273 ICUR led). On Univariable analysis, the incidence of the primary outcome was higher in ICUR-led MET calls (26.7% vs. 20.6%, p = 0.03). Of the secondary outcome measures, mortality within 24 h (3.4% vs. 7.7%, p = 0.002) and hospital mortality (12.7% vs. 20.5%, p = 0.001) were higher in ICUR-led MET calls. Propensity score-matched analysis of 263 pairs revealed the composite primary outcome was comparable between both groups, but NP-led group was associated with reduced risk of hospital mortality (OR 0.57, 95% CI 0.35-0.91, p = 0.02) and higher likelihood of discharge home (OR 1.55, 95% CI 1.09-2.2, p = 0.015).

CONCLUSION

Acute patient deterioration was comparable between ICUR- and NP-led MET calls. NP-led MET calls were associated with lower hospital mortality and higher likelihood of discharge home.

Association between 30-day readmission rates and health information technology capabilities in US hospitals

Health information technology (IT) is often proposed as a solution to fragmentation of care, and has been hypothesized to reduce readmission risk through better information flow. However, there are numerous distinct health IT capabilities, and it is unclear which, if any, are associated with lower readmission risk.To identify the specific health IT capabilities adopted by hospitals that are associated with hospital-level risk-standardized readmission rates (RSRRs) through path analyses using structural equation modeling.This STROBE-compliant retrospective cross-sectional study included non-federal U.S. acute care hospitals, based on their adoption of specific types of health IT capabilities self-reported in a 2013 American Hospital Association IT survey as independent variables. The outcome measure included the 2014 RSRRs reported on Hospital Compare website.A 54-indicator 7-factor structure of hospital health IT capabilities was identified by exploratory factor analysis, and corroborated by confirmatory factor analysis. Subsequent path analysis using Structural equation modeling revealed that a one-point increase in the hospital adoption of patient engagement capability latent scores (median path coefficient ß = -0.086; 95% Confidence Interval, -0.162 to -0.008), including functionalities like direct access to the electronic health records, would generally lead to a decrease in RSRRs by 0.086%. However, computerized hospital discharge and information exchange capabilities with other inpatient and outpatient providers were not associated with readmission rates.These findings suggest that improving patient access to and use of their electronic health records may be helpful in improving hospital performance on readmission; however, computerized hospital discharge and information exchange among clinicians did not seem as beneficial - perhaps because of the quality or timeliness of information transmitted. Future research should use more recent data to study, not just adoption of health IT capabilities, but also whether their usage is associated with lower readmission risk. Understanding which capabilities impact readmission risk can help policymakers and clinical stakeholders better focus their scarce resources as they invest in health IT to improve care delivery.

Pressure Injury Prevention in Patients with Prolonged ED Stays Prior to Admission

PURPOSE

The purpose of this project was to examine whether initiating a standardized pressure injury (PI) assessment and prevention protocol early in adult patients' ED stay reduces hospital-acquired PIs (HAPIs) in those patients admitted from the ED to acute care inpatient medical units.

METHODS

A nurse-led evidence-based practice team studied the problem of increasing HAPIs on four acute care inpatient units and found that, among patients who had been admitted to inpatient care from the ED, longer ED boarding times correlated with a higher rate of HAPIs. ED staff and acute care unit nurses collaborated to develop new protocols to prevent HAPIs in the ED, including staff education and standardized assessments and prevention care for at-risk patients. Data collection was performed at three time periods over approximately two and a half years: baseline, intervention, and postintervention.

RESULTS

The incidence rate for HAPIs decreased from 3.56 per 1,000 patient-days at baseline to 1.31 per 1,000 patient-days during the intervention period. This reduction was sustained over the next five months, during which the HAPI incidence rate was 1.53 per 1,000 patient-days.

IMPLICATIONS

At a time when ED length of stay is difficult to manage and continues to increase, the use of evidence-based interventions and protocols can reduce the rate of PIs in high-risk patients waiting for hospital admission, leading to a reduction in PI rates and overall hospital costs.

Funnel plots of patient-reported outcomes to evaluate health-care quality: Basic principles, pitfalls and considerations

A funnel plot is a graphical method to evaluate health-care quality by comparing hospital performances on certain outcomes. So far, in nephrology, this method has been applied to clinical outcomes like mortality and complications. However, patient-reported outcomes (PROs; eg, health-related quality of life [HRQOL]) are becoming increasingly important and should be incorporated into this quality assessment. Using funnel plots has several advantages, including clearly visualized precision, detection of volume-effects, discouragement of ranking hospitals and easy interpretation of results. However, without sufficient knowledge of underlying methods, it is easy to stumble into pitfalls, such as overinterpretation of standardized scores, incorrect direct comparisons of hospitals and assuming a hospital to be in-control (ie, to perform as expected) based on underpowered comparisons. Furthermore, application of funnel plots to PROs is accompanied by additional challenges related to the multidimensional nature of PROs and difficulties with measuring PROs. Before using funnel plots for PROs, high and consistent response rates, adequate case mix correction and high-quality PRO measures are required. In this article, we aim to provide insight into the use and interpretation of funnel plots by presenting an overview of the basic principles, pitfalls and considerations when applied to PROs, using examples from Dutch routine dialysis care.

Key indicators for appraising adolescent sexual and reproductive health in South Asia: international expert consensus exercise using the Delphi technique

BACKGROUND

There is a need for an accurate assessment of the patterns and determinants of sexual and reproductive health in South Asia owing to high fertility rates and high incidence of unplanned pregnancy among adolescents. Health indicator sets, with a wide range of health dimensions, also support in formulating evidence-based policies. For attaining this, indicators should be developed and prioritized based on consensus and relevance.

OBJECTIVE

This study aimed to develop a comprehensive list of adolescent sexual and reproductive health (ASRH) key indicators for South Asia through systematic participatory expert consultation exercise using the Delphi technique.

METHODS

Experts were invited to two rounds of an indicator rating exercise and a third round to discuss the results in a broader regional perspective. A list of nine indicator categories, including 41 adolescent health indicators, was rated by the expert panel. Prioritization was based on mean Likert scores while consensus was established using Kendall's W.

RESULTS

24, 16 and six experts participated in the first, second and third round, respectively. Out of the nine indicator categories, demographics, reproductive health, violence, and nutrition were ranked high in relevance by the expert panel. Experts had a strong consensus on the relevance of parental control and connection, and behavioral indicators while there was moderate consensus on the relevance of nutrition, infectious disease, and mortality indicators.

CONCLUSION

As far as we know, this is the first study that employs the Delphi technique for prioritizing ASRH indicators for South Asia. Engaging a diverse group of experts, using an online platform, we developed a comprehensive list of key indicators for appraising ASRH relevant to South Asia based on expert panel consensus and recommendations. Our results also highlight that there is a need for developing a region-specific prioritized list of indicators which might assist in identifying regional health needs.

Assessing Nursing Homes Quality Indicators' Between-Provider Variability and Reliability: A Cross-Sectional Study Using ICCs and Rankability

Nursing home quality indicators are often used to publicly report the quality of nursing home care. In Switzerland, six national nursing home quality indicators covering four clinical domains (polypharmacy, pain, use of physical restraints and weight loss) were recently developed. To allow for meaningful comparisons, these indicators must reliably show differences in quality of care levels between nursing homes. This study’s objectives were to assess nursing home quality indicators’ between-provider variability and reliability using intraclass correlations and rankability. This approach has not yet been used in long-term care contexts but presents methodological advantages. This cross-sectional multicenter study uses data of 11,412 residents from a convenience sample of 152 Swiss nursing homes. After calculating intraclass correlation 1 (ICC1) and rankability, we describe between-provider variability for each quality indicator using empirical Bayes estimate-based caterpillar plots. To assess reliability, we used intraclass correlation 2 (ICC2). Overall, ICC1 values were high, ranging from 0.068 (95% confidence interval (CI) 0.047–0.086) for polypharmacy to 0.396 (95% CI 0.297–0.474) for physical restraints, with quality indicator caterpillar plots showing sufficient between-provider variability. However, testing for rankability produced mixed results, with low figures for two indicators (0.144 for polypharmacy; 0.471 for self-reported pain) and moderate to high figures for the four others (from 0.692 for observed pain to 0.976 for physical restraints). High ICC2 figures, ranging from 0.896 (95% CI 0.852–0.917) (self-reported pain) to 0.990 (95% CI 0.985–0.993) (physical restraints), indicated good reliability for all six quality indicators. Intraclass correlations and rankability can be used to assess nursing home quality indicators’ between-provider variability and reliability. The six selected quality indicators reliably distinguish care differences between nursing homes and can be recommended for use, although the variability of two—polypharmacy and self-reported pain—is substantially chance-driven, limiting their utility.

The association between the composite quality measure "textbook outcome" and long term survival in operated colon cancer

The aim of this study was to investigate the relationship between textbook outcome and survival in patients with surgically treated colon cancer. A total of 804 surgical cases were enrolled between June 1, 2010 and December 31, 2014. Textbook outcome was defined as patients who had colon cancer surgery and met the six healthcare parameters of surgery within 6 weeks, radical resection, lymph node (LN) yield ≥12, no ostomy, no adverse outcome and colonoscopy before/after surgery within 6 months. The effect of textbook outcome on 5-year disease-specific survival (DSS) was calculated using the Kaplan-Meier method. A Cox regression model was used to find significant independent variables and stratified analysis used to determine whether text-book outcome had a survival benefit. A textbook outcome was achieved in 59.5% of patients undergoing colon cancer surgery. Important obstacles to achieving textbook outcome were no stomy, no adverse outcome and LN yield ≥12. Patients with text-book outcome had statistically significant better 5-year DSS compared to those with-out (80.1% vs. 58.3%). Multivariate analyses indicated that colon cancer patients with textbook outcome had better 5-year DSS after adjusting for various confounders ([aHR], 0.44; 95% CI, 0.34-0.57). Thus, besides being an index of short-term quality of care, textbook outcomes could be used as a prognosticator of long-term outcomes, such as 5-year survival rates.

Family and Friend Perceptions of Quality of End-of-Life Care in Medicare Advantage vs Traditional Medicare

IMPORTANCE

Medicare Advantage (MA) insures an increasing proportion of Medicare beneficiaries, but evidence is lacking on patient or family perceptions of the quality of end-of-life care in MA vs traditional Medicare.

OBJECTIVE

To determine if there is a difference in quality of care reported by family and friends of individuals who died while insured by MA vs traditional Medicare at the end of life.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study used the 2011 to 2017 Medicare-linked National Health and Aging Trends Study to conduct population-based survey research representing 8 668 829 Medicare enrollees. Included individuals were 2119 enrollees who died when aged 65 years or older, with quality of care reported by a family member or close friend familiar with the individual's last month of life. Analysis was conducted in July 2020.

EXPOSURES

MA enrollment at the time of death or before hospice enrollment.

MAIN OUTCOMES AND MEASURES

Perception of end-of-life care was measured with 9 validated items, with the primary outcome variable being overall care rated not excellent. We conducted a propensity score-weighted multivariable model to examine the association of each item with MA vs traditional Medicare enrollment. The propensity score and multivariable model included covariates capturing demographic and socioeconomic factors, function and health, and relationship of the respondent to the individual who died. The sample was then stratified by hospice enrollment and setting of care in the last month.

RESULTS

Of 2119 people in the sample, 670 individuals were enrolled in MA at the time of death or prior to hospice (32.7%) and 1449 were enrolled in traditional Medicare (67.3%). In survey-weighted percentages, 53.6% (95% CI, 51.0% to 56.1%) were women and 43.4% (95% CI, 41.5% to 45.3%) were older than 85 years at the time of death. In the adjusted model, family and friends of individuals in MA were more likely to report that care was not excellent (odds ratio, 1.28; 95% CI, 1.01 to 1.61; P = .04) and that they were not kept informed (odds ratio, 1.48; 95% CI, 1.06 to 2.05; P = .02). For those in nursing homes, there was an estimated probability of 57.2% of respondents reporting that care was not excellent for individuals with traditional Medicare, compared with 77.9% of respondents for individuals with MA (marginal increase for those in MA, 0.21; 95% CI, 0.08 to 0.32; P = .001).

CONCLUSIONS AND RELEVANCE

In this cross-sectional study of people who died while enrolled in Medicare, friends and family of those in MA reported lower-quality end-of-life care compared with friends and family of those enrolled in traditional Medicare. These findings suggest that, given the rapid growth of MA, Medicare should take steps to ensure that MA plans are held accountable for quality of care at the end of life.

Factors That Influence Data Use to Improve Health Service Delivery in Low- and Middle-Income Countries

BACKGROUND

Health service delivery indicators are designed to reveal how well health services meet a community's needs. Effective use of the data can enable targeted improvements in health service delivery. We conducted a systematic review to identify the factors that influence the use of health service delivery indicators to improve delivery of primary health care services in low- and middle-income settings.

METHODS

We reviewed empirical studies published in 2005 or later that provided evidence on the use of health service delivery data at the primary care level in low- and middle-income countries. We searched Scopus, Medline, the Cochrane Library, and citations of included studies. We also searched the gray literature, using a separate strategy. We extracted information on study design, setting, study population, study objective, key findings, and any identified lessons learned.

RESULTS

Twelve studies met the inclusion criteria. This small number of studies suggests there is insufficient evidence to draw reliable conclusions. However, a content analysis identified the following potentially influential factors, which we classified into 3 categories: governance (leadership, participatory monitoring, regular review of data); production of information (presentation of findings, data quality, qualitative data); and health information system resources (electronic health management information systems, organizational structure, training). Contextual factors and performance-based financing were also each found to have a role; however, discussing these as mediating factors may not be practical in terms of promoting data use.

CONCLUSION

Scant evidence exists regarding factors that influence the use of health service delivery indicators to improve delivery of primary health care services in low- and middle-income countries. However, the existing evidence highlights some factors that may have a role in improving data use. Further research may benefit from comparing data use factors across different types of program indicators or using our classification as a framework for field experiments.

Monitoring and evaluation of breast cancer screening programmes: selecting candidate performance indicators

BACKGROUND

In the scope of the European Commission Initiative on Breast Cancer (ECIBC) the Monitoring and Evaluation (M&E) subgroup was tasked to identify breast cancer screening programme (BCSP) performance indicators, including their acceptable and desirable levels, which are associated with breast cancer (BC) mortality. This paper documents the methodology used for the indicator selection.

METHODS

The indicators were identified through a multi-stage process. First, a scoping review was conducted to identify existing performance indicators. Second, building on existing frameworks for making well-informed health care choices, a specific conceptual framework was developed to guide the indicator selection. Third, two group exercises including a rating and ranking survey were conducted for indicator selection using pre-determined criteria, such as: relevance, measurability, accurateness, ethics and understandability. The selected indicators were mapped onto a BC screening pathway developed by the M&E subgroup to illustrate the steps of BC screening common to all EU countries.

RESULTS

A total of 96 indicators were identified from an initial list of 1325 indicators. After removing redundant and irrelevant indicators and adding those missing, 39 candidate indicators underwent the rating and ranking exercise. Based on the results, the M&E subgroup selected 13 indicators: screening coverage, participation rate, recall rate, breast cancer detection rate, invasive breast cancer detection rate, cancers > 20 mm, cancers ≤10 mm, lymph node status, interval cancer rate, episode sensitivity, time interval between screening and first treatment, benign open surgical biopsy rate, and mastectomy rate.

CONCLUSION

This systematic approach led to the identification of 13 BCSP candidate performance indicators to be further evaluated for their association with BC mortality.

High Frequency of Non-Compliance with Quality Indicators of Enteral and Parenteral Nutritional Therapy in Hospitalized Patients

Quality indicators in nutritional therapy (QINT) are measures of the effectiveness and quality of nutrition support. The purpose of this study was to evaluate the frequency of the QINT adequacy of Enteral Nutritional Therapy (EN) and/or Parenteral (PN) in hospitalized patients and identify the best indicators according to health professionals. A prospective study was performed, including data from patients aged 18 years or over admitted to clinical or surgical wards. The patients who had received EN and/or PN were followed from the first day of nutritional prescription until discharge. Twelve indicators were calculated, as recommended by the literature. Regarding professional opinion, the QINT adequacy was evaluated by observing its utility, simplicity, objectivity, and cost. Of the 727 hospitalized patients, 101 were on EN and/or PN. Regarding the 12 QINT evaluated, only 25% (3) achieved the goals: involuntary withdrawal of enteral feeding tube (0.01%); feeding tube occlusion or withdrawal per occlusion (0%); the measurement of energy and protein requirements (92%). A high frequency of non-compliance (75% of QINT) was observed in clinical and surgical patients on EN and/or PN. With knowledge of the six best indicators chosen by health professionals in this service, it will be possible to elaborate protocols according to the real-life situation in the institution.

Towards an integrated perinatal care pathway for vulnerable women: The development and validation of quality indicators

OBJECTIVE

Development and validation of a set of quality indicators for vulnerable women during the perinatal period.

DESIGN

A three-phase method was used. Phase 1 consisted of a literature review to identify publications for the development of care domains and potential QIs, as well as a quality assessment by the research team. In phase 2 an expert panel assessed the set of concept QIs in a modified three-round Delphi survey. Finally, semi-structured interviews with vulnerable women were conducted as a final quality assessment of a set of indicators (phase 3). Ethical approval was obtained from the ethics committee of the University Hospital Brussels and from the Ethics Committees of all the participating hospitals.

SETTING

The Flemish Region and the Brussels Capital Region in Belgium.

PARTICIPANTS

Healthcare and social care professionals (n = 40) with expertise in the field of perinatal care provision for vulnerable families. Vulnerable women (n = 11) who gave birth in one of the participating hospitals.

FINDINGS

The literature review resulted in a set of 49 potential quality indicators in five care domains: access to healthcare, assessment and screening, informal support, formal support and continuity of care. After assessment by the expert panel and vulnerable women, a final set of 21 quality indicators in five care domains was identified. First of all, organisation of care must involve an integrated multidisciplinary approach taking account of financial, administrative and social barriers (care domain 1: access to healthcare). Second, qualitative care includes the timely initiation of care, a general screening of the various aspects of vulnerability (biological, psychological, social and cognitive) and a risk assessment for all women (care domain 2: assessment and screening). Vulnerable women benefit from intensive formal and informal support taking account of individual needs and strengths (care domain 3: formal support; care domain 4: informal support). Finally, continuity of care needs to be guaranteed in line with vulnerable woman's individual needs (care domain 5: continuity of care).

KEY CONCLUSIONS AND IMPLICATIONS FOR PRACTICE

Implementing quality indicators in existing and new care pathways offers an evidence-based approach facilitating an integrated view promoting a healthy start for woman and child. These quality indicators can assist healthcare providers, organisations and governmental agencies to improve the quality of perinatal care for vulnerable women.

Association of Do-Not-Resuscitate Patient Case Mix With Publicly Reported Risk-Standardized Hospital Mortality and Readmission Rates

IMPORTANCE

The Centers for Medicare and Medicaid Services's (CMS's) 30-day risk-standardized mortality rate (RSMR) and risk-standardized readmission rate (RSRR) models do not adjust for do-not-resuscitate (DNR) status of hospitalized patients and may bias Hospital Readmissions Reduction Program (HRRP) financial penalties and Overall Hospital Quality Star Ratings.

OBJECTIVE

To identify the association between hospital-level DNR prevalence and condition-specific 30-day RSMR and RSRR and the implications of this association for HRRP financial penalty.

DESIGN, SETTING, AND PARTICIPANTS

This cross-sectional study obtained patient-level data from the Medicare Limited Data Set Inpatient Standard Analytical File and hospital-level data from the CMS Hospital Compare website for all consecutive Medicare inpatient encounters from July 1, 2015, to June 30, 2018, in 4484 US hospitals. Hospitalized patients had a principal diagnosis of acute myocardial infarction (AMI), heart failure (HF), stroke, pneumonia, or chronic obstructive pulmonary disease (COPD). Incoming acute care transfers, discharges against medical advice, and patients coming from or discharged to hospice were among those excluded from the analysis.

EXPOSURES

Present-on-admission (POA) DNR status was defined as an International Classification of Diseases, Ninth Revision diagnosis code of V49.86 (before October 1, 2015) or as an International Statistical Classification of Diseases and Related Health Problems, Tenth Revision diagnosis code of Z66 (beginning October 1, 2015). Hospital-level prevalence of POA DNR status was calculated for each of the 5 conditions.

MAIN OUTCOMES AND MEASURES

Hospital-level 30-day RSMRs and RSRRs for 5 condition-specific cohorts (mortality cohorts: AMI, HF, stroke, pneumonia, and COPD; readmission cohorts: AMI, HF, pneumonia, and COPD) and HRRP financial penalty status (yes or no).

RESULTS

Included in the study were 4 884 237 inpatient encounters across condition-specific 30-day mortality cohorts (patient mean [SD] age, 78.8 [8.5] years; 2 608 182 women [53.4%]) and 4 450 378 inpatient encounters across condition-specific 30-day readmission cohorts (patient mean [SD] age, 78.6 [8.5] years; 2 349 799 women [52.8%]). Hospital-level median (interquartile range [IQR]) prevalence of POA DNR status in the mortality cohorts varied: 11% (7%-16%) for AMI, 13% (7%-23%) for HF, 14% (9%-22%) for stroke, 17% (9%-26%) for pneumonia, and 10% (5%-18%) for COPD. For the readmission cohorts, the hospital-level median (IQR) POA DNR prevalence was 9% (6%-15%) for AMI, 12% (6%-22%) for HF, 16% (8%-24%) for pneumonia, and 9% (4%-17%) for COPD. The 30-day RSMRs were significantly higher for hospitals in the highest quintiles vs the lowest quintiles of DNR prevalence (eg, AMI: 12.9 [95% CI, 12.8-13.1] vs 12.5 [95% CI, 12.4-12.7]; P < .001). The inverse was true among the readmission cohorts, with the highest quintiles of DNR prevalence exhibiting the lowest RSRRs (eg, AMI: 15.3 [95% CI, 15.1-15.5] vs 15.9 [95% CI, 15.7-16.0]; P < .001). A 1% absolute increase in risk-adjusted hospital-level DNR prevalence was associated with greater odds of avoiding HRRP financial penalty (odds ratio, 1.06; 95% CI, 1.04-1.08; P < .001).

CONCLUSIONS AND RELEVANCE

This cross-sectional study found that the lack of adjustment in CMS 30-day RSMR and RSRR models for POA DNR status of hospitalized patients may be associated with biased readmission penalization and hospital-level performance.

Trends in measles cases in Bayelsa state, Nigeria: a five-year review of case-based surveillance data (2014-2018)

BACKGROUND

Measles is a vaccine preventable, highly transmissible viral infection that affects mostly children under five years. It has been ear marked for elimination and Nigeria adopted the measles elimination strategies of the World Health Organization (WHO) African region to reduce cases and deaths. This study was done to determine trends in measles cases in Bayelsa state, to describe cases in terms of person and place, identify gaps in the case-based surveillance data collection system and identify risk factors for measles infection.

METHODS

We carried out a secondary data analysis of measles case-based surveillance data for the period of January 2014 to December 2018 obtained in Microsoft Excel from the State Ministry of Health. Cases were defined according to WHO standard case definitions. We calculated frequencies, proportions, estimated odds ratios (OR), 95% confidence intervals (CI) and multivariate analysis.

RESULTS

A total of 449 cases of measles were reported. There were 245(54.6%) males and the most affected age group was 1-4 years with 288(64.1%) cases. Of all cases, 289(9.35%) were confirmed and 70 (48.27%) had received at least one dose of measles vaccine. There was an all-year transmission with increased cases in the 4th quarter of the year. Yenegoa local government area had the highest number of cases. Timeliness of specimen reaching the laboratory and the proportion of specimens received at the laboratory with results sent to the national level timely were below WHO recommended 80% respectively. Predictors of measles infection were, age less than 5 years (AOR: 0.57, 95% CI: 0.36-0.91) and residing in an urban area (AOR: 1.55, 95% CI:1.02-2.34).

CONCLUSIONS

Measles infection occurred all-year round, with children less than 5 years being more affected. Measles case-based surveillance system showed high levels of case investigation with poor data quality and poor but improving indicators. Being less than 5 years was protective of measles while living in urban areas increased risk for infection. We recommended to the state government to prioritize immunization activities in the urban centers, start campaigns by the 4th quarter and continue to support measles surveillance activities and the federal government to strengthen regional laboratory capacities.

Determinants of Insufficient Optimal Medical Therapy after Acute Myocardial Infarction

Objective Although the importance of evidence-based optimal medical therapy (OMT) after acute myocardial infarction (AMI) has been recognized, the prescription rate of OMT is not sufficiently high in real-word clinical settings. The purpose of this study was to identify the clinical characteristics of AMI patients who did not receive OMT. Methods The present study was a retrospective study. OMT was defined as the combination of antiplatelet therapy, angiotensin-converting enzyme (ACE) inhibitors/angiotensin II receptor blockers (ARBs), beta-blockers, and statins at the time of hospital discharge. Non-OMT was defined as the lack of either antiplatelet therapy, ACE inhibitors/ARBs, beta-blockers, or statins. Results A total of 457 AMI patients were included as the final study population, and 98 patients (22.4%) lacked at least 1 OMT medication. The prescription rates of antiplatelet therapy, ACE inhibitors/ARBs, beta-blockers, and statins were 98.7%, 87.5%, 90.4%, and 96.7%, respectively. In the multivariate logistic regression analysis, age [per 1-year increase: odds ratio (OR) 1.033, 95% confidence interval (CI) 1.007-1.059, p=0.014], hemodialysis (vs. no hemodialysis: OR 2.707, 95% CI 1.082-6.774, p=0.033), estimated glomerular filtration rate <30 mL/min/1.73 m² without hemodialysis (OR 4.585, 95% CI 1.975-10.644, p<0.001), AMI caused by vasospastic angina (VSA) (vs. no VSA: OR 13.198, 95% CI 1.809-96.260, p=0.011), and asthma (vs. no asthma: OR 7.241, 95% CI 1.716-30.559, p=0.007) were significantly associated with non-OMT, whereas heart rate on admission (per 1-bpm increase: 0.987, 95% CI 0.975-0.999, p=0.033), any PCI (vs. no PCI: OR 0.156, 95% CI 0.066-0.373, p<0.001), and ST-elevation myocardial infarction (STEMI) (vs. NSTEMI: OR 0.384, 95% CI 0.218-0.675, p=0.001) were inversely associated with non-OMT. Conclusion An advanced age, VSA, bradycardia, asthma, impaired renal function, non-PCI revascularization, and non-ST-elevation myocardial infarction were significantly associated with non-OMT.

Musculoskeletal injury quality outcome indicators for the emergency department

High standards of care for musculoskeletal injuries presenting to emergency departments (ED) must be maintained despite financial constraints, the model of care in place, or the pressure to reach time-based performance measures. Outcome quality indicators (QIs) provide a tangible way of assessing and improving the outcomes of health-care delivery. This study aimed to develop a set of outcome QIs for musculoskeletal injuries in the ED that are meaningful, valid, feasible to collect, simple to use for clinical quality improvement and chosen by experts in the field. The study used a multi-phase mixed methods design, commencing with a systematic review of available outcome QIs. An expert panel then developed a set of preliminary QIs based on the available scientific evidence. Prospective observational data collection was undertaken across eight EDs with subsequent retrospective chart audits, follow-up phone calls and audit of administrative databases. After statistical analysis, validated results were presented to the expert panel who discussed, refined and formally voted on a final outcome QI set. A total of 41 preliminary outcome QIs were field tested in EDs, with data collected on 633 patients. Using the field study results, the expert panel voted 11 outcome QIs into the final set. These covered effectiveness of pain management, timeliness to discharge, re-presentations to the ED and unplanned visits to health professionals in the community, missed injuries, opioids side effects and the patient experience. An evidence-based set of outcome quality indicators is now available to support clinical quality improvement of musculoskeletal injury care in the ED setting.

Vaccination Status and Adherence to Quality Measures for Acute Respiratory Tract Illnesses

OBJECTIVES

To assess the relationship between vaccination status and clinician adherence to quality measures for children with acute respiratory tract illnesses.

METHODS

We conducted a multicenter prospective cohort study of children aged 0 to 16 years who presented with 1 of 4 acute respiratory tract illness diagnoses (community-acquired pneumonia, croup, asthma, and bronchiolitis) between July 2014 and June 2016. The predictor variable was provider-documented up-to-date (UTD) vaccination status. Our primary outcome was clinician adherence to quality measures by using the validated Pediatric Respiratory Illness Measurement System (PRIMES). Across all conditions, we examined overall PRIMES composite scores and overuse (including indicators for care that should not be provided, eg, C-reactive protein testing in community-acquired pneumonia) and underuse (including indicators for care that should be provided, eg, dexamethasone in croup) composite subscores. We examined differences in length of stay, costs, and readmissions by vaccination status using adjusted linear and logistic regression models.

RESULTS

Of the 2302 participants included in the analysis, 92% were documented as UTD. The adjusted mean difference in overall PRIMES scores by UTD status was not significant (adjusted mean difference -0.3; 95% confidence interval: -1.9 to 1.3), whereas the adjusted mean difference was significant for both overuse (-4.6; 95% confidence interval: -7.5 to -1.6) and underuse (2.8; 95% confidence interval: 0.9 to 4.8) composite subscores. There were no significant adjusted differences in mean length of stay, cost, and readmissions by vaccination status.

CONCLUSIONS

We identified lower adherence to overuse quality indicators and higher adherence to underuse quality indicators for children not UTD, which suggests that clinicians "do more" for hospitalized children who are not UTD.

Physician characteristics correlate with hospital readmission rates

Hospital readmission rates are used as a metric to measure quality patient care. While several tools predict readmissions based on patient-specific characteristics, this study assesses if physician characteristics correlate with hospital readmission rates.In a 5-year retrospective electronic record review at a single institution, 31 internal medicine attending physicians' discharges were tracked for a total of 70 physician years, and 15,933 hospital discharges. Each physician's yearly 7-day, 8 to 30-day, and 30-day readmission rates were compared. Each rate was also correlated with years of post-graduate clinical experience, discharge volume, physician sex, and fiscal year.Individual physicians had significantly different 7-day, 8 to 30-day, and 30-day readmission rates from each other. The rates were not related to sex, years after post-graduate training, or fiscal year. However, physician patient volume correlated with 7-day readmission rates. Physicians who discharged ≤100 patients per year had a higher 7-day readmission rate than physicians who discharged >100 patients per year. This correlation with patient volume did not hold for the 8 to 30-day and 30-day readmission rates.Individual physicians differ in their patient readmission rates in 7-day, 8 to 30-day, and 30-day categories. A critical level of a physician's hospital activity, as reflected by the number of patient discharges per year (>100), results in lower 7-day readmission rates. Sex, post-graduate years of clinical experience, and fiscal year did not play a role. The lack of correlation between each physicians' 7-day and 8 to 30-day readmission rates suggests that different physician factors are involved in these 2 rates.

Developing a framework for performance assessment of the public long-term care system in Korea: methodological and policy lessons

BACKGROUND

Limited evidence exists on how to assess long-term care system performance. This study aims to report on the process and results of developing a performance assessment framework to evaluate the long-term care system financed by the public long-term care insurance in South Korea.

METHODS

The framework was developed through a six-step approach, including setting the goals and scope of performance assessment in the given policy context, reviewing existing performance frameworks, developing a framework with a wide range of potential indicators, refining the framework through a series of Delphi surveys and expert meetings, examining the feasibility of generated indicators through a pilot test, receiving the comments of stakeholders, and finalising the performance framework.

RESULTS

The finalised framework has 4 domains - coverage, quality of care, quality of life and system sustainability - and 28 indicators, including 10 core indicators to monitor long-term care system performance. Usability and feasibility along with policy relevance were important criteria in selecting these indicators. The proposed framework can be used to assess the performance of the long-term care system in Korea, and the framework and its methodological approach can be benchmarks for other countries developing their own framework.

CONCLUSIONS

It is critical to reconcile and prioritise various stakeholders' views and information needs as well as to balance methodological rigor with practical usefulness and feasibility in the development and implementation of a long-term care performance monitoring system.

Identifying optimal indicators and purposes of population segmentation through engagement of key stakeholders: a qualitative study

BACKGROUND

Various population segmentation tools have been developed to inform the design of interventions that improve population health. However, there has been little consensus on the core indicators and purposes of population segmentation. The existing frameworks were further limited by their applicability in different practice settings involving stakeholders at all levels. The aim of this study was to generate a comprehensive set of indicators and purposes of population segmentation based on the experience and perspectives of key stakeholders involved in population health.

METHODS

We conducted in-depth semi-structured interviews using purposive sampling with key stakeholders (e.g. government officials, healthcare professionals, social service providers, researchers) involved in population health at three distinct levels (micro, meso, macro) in Singapore. The interviews were audio-recorded and transcribed verbatim. Thematic content analysis was undertaken using NVivo 12.

RESULTS

A total of 25 interviews were conducted. Eight core indicators (demographic characteristics, economic characteristics, behavioural characteristics, disease state, functional status, organisation of care, psychosocial factors and service needs of patients) and 21 sub-indicators were identified. Age and financial status were commonly stated as important indicators that could potentially be used for population segmentation across three levels of participants. Six intended purposes for population segmentation included improving health outcomes, planning for resource allocation, optimising healthcare utilisation, enhancing psychosocial and behavioural outcomes, strengthening preventive efforts and driving policy changes. There was consensus that planning for resource allocation and improving health outcomes were considered two of the most important purposes for population segmentation.

CONCLUSIONS

Our findings shed light on the need for a more person-centric population segmentation framework that incorporates upstream and holistic indicators to be able to measure population health outcomes and to plan for appropriate resource allocation. Core elements of the framework may apply to other healthcare settings and systems responsible for improving population health.

TRIAL REGISTRATION

The study was approved by the SingHealth Institutional Review Board (CIRB Reference number: 2017/2597).

Benefits of implementing a rapid access clinic in a high-volume inflammatory bowel disease center: Access, resource utilization and outcomes

BACKGROUND

Emergency situations in inflammatory bowel diseases (IBD) put significant burden on both the patient and the healthcare system.

AIM

To prospectively measure Quality-of-Care indicators and resource utilization after the implementation of the new rapid access clinic service (RAC) at a tertiary IBD center.

METHODS

Patient access, resource utilization and outcome parameters were collected from consecutive patients contacting the RAC between July 2017 and March 2019 in this observational study. For comparing resource utilization and healthcare costs, emergency department (ED) visits of IBD patients with no access to RAC services were evaluated between January 2018 and January 2019. Time to appointment, diagnostic methods, change in medical therapy, unplanned ED visits, hospitalizations and surgical admissions were calculated and compared.

RESULTS

488 patients (Crohn’s disease: 68.4%/ulcerative colitis: 31.6%) contacted the RAC with a valid medical reason. Median time to visit with an IBD specialist following the index contact was 2 d. Patients had objective clinical and laboratory assessment (C-reactive protein and fecal calprotectin in 91% and 73%). Fast-track colonoscopy/sigmoidoscopy was performed in 24.6% of the patients, while computed tomography/magnetic resonance imaging in only 8.1%. Medical therapy was changed in 54.4%. ED visits within 30 d following the RAC visit occurred in 8.8% (unplanned ED visit rate: 5.9%). Diagnostic procedures and resource utilization at the ED (n = 135 patients) were substantially different compared to RAC users: Abdominal computed tomography was more frequent (65.7%, P < 0.001), coupled with multiple specialist consults, more frequent hospital admission (P < 0.001), higher steroid initiation (P < 0.001). Average medical cost estimates of diagnostic procedures and services per patient was $403 CAD vs $1885 CAD comparing all RAC and ED visits.

CONCLUSION

Implementation of a RAC improved patient care by facilitating easier access to IBD specific medical care, optimized resource utilization and helped avoiding ED visits and subsequent hospitalizations.

Direct-to-Patient Telehealth: Opportunities and Challenges

Provision of healthcare services through telehealth continues to increase. This rise is driven by the several factors, such as improved access, decreased cost, patient convenience and positive patient satisfaction. Direct-to-patient (DTP) care delivery is the most popular form of telehealth. However, barriers exist to its widespread use in practice, such as lack of reimbursement, concern that the convenience of these services may raise utilization to the point that spending increases without increasing quality of care, concern about quality of care provided and low uptake by underrepresented or at risk populations. DTP offers opportunities to improve population health and provide value-based care within integrated health systems, but requires thoughtful implementation strategies that address patient and provider barriers to its use.

Trends in Mental and Physical Health-Related Quality of Life in Low-Income Older Persons in the United States, 2003 to 2017

This cross-sectional study of respondents to the Behavioral Risk Factor Surveillance System survey assesses trends between 2003 and 2017 in mental and physical health-related quality of life in low-income US individuals 60 years or older.

Development of summary indices of antenatal care service quality in Haiti, Malawi and Tanzania

INTRODUCTION

Measuring quality of care in low-income and middle-income countries is complicated by the lack of a standard, universally accepted definition for 'quality' for any particular service, as well as limited guidance on which indicators to include in measures of quality of care, and how to incorporate those indicators into summary indices. The aim of this paper is to develop, characterise and compare a set of antenatal care (ANC) indices for facility readiness and provision of care.

METHODS

We created nine indices for facility readiness using three methods for selecting items and three methods for combining items. In addition, we created three indices for provision of care using one method for selecting items and three methods for combining items. For each index, we calculated descriptive statistics, categorised the continuous index scores using tercile cut points to assess comparability of facility classification, and examined the variability and distribution of scores.

RESULTS

Our results showed that, within a country, the indices were quite similar in terms of mean index score, facility classification, coefficient of variation, floor and ceiling effects, and the inclusion of items in an index with a range of variability. Notably, the indices created using principal components analysis to combine the items were the most different from the other indices. In addition, the index created by taking a weighted average of a core set of items had lower agreement with the other indices when looking at facility classification.

CONCLUSIONS

As improving quality of care becomes integral to global efforts to produce better health outcomes, demand for guidance on creating standardised measures of service quality will grow. This study provides health systems researchers with a comparison of methodologies commonly used to create summary indices of ANC service quality and it highlights the similarities and differences between methods.

Variation in Facility-Level Rates of All-Cause and Potentially Preventable 30-Day Hospital Readmissions Among Medicare Fee-for-Service Beneficiaries After Discharge From Postacute Inpatient Rehabilitation

IMPORTANCE

The Improving Medicare Post-Acute Care Transformation Act of 2014 mandated a quality measure of potentially preventable 30-day hospital readmission for inpatient rehabilitation facilities (IRFs). Examining IRF performance nationally may help inform health care quality initiatives for Medicare beneficiaries.

OBJECTIVE

To examine variation in Centers for Medicare & Medicaid Services Quality Reporting Program measures for US facility-level risk-adjusted all-cause and potentially preventable hospital readmission rates after inpatient rehabilitation.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study of Medicare claims data included 454 378 Medicare beneficiaries discharged from 1162 IRFs between June 1, 2013, and July 1, 2015. Data were analyzed March 23, 2018, through June 24, 2019.

MAIN OUTCOMES AND MEASURES

All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities and the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation. Specifications from the Centers for Medicare & Medicaid Services were followed to identify the cohort, define outcomes, and calculate risk-standardized facility-level rates.

RESULTS

Among a cohort of 454 378 patients, the mean (SD) age was 76.2 (10.6) years and 263 546 (58.0%) were women. The all-cause readmission rate was 12.3% (95% CI, 12.2%-12.4%), and the potentially preventable readmission rate was 5.3% (95% CI, 5.3%-5.4%). Across 1162 included IRFs, risk-standardized all-cause readmission rates ranged from 10.1% (95% CI, 8.9%-11.6%) to 15.9% (95% CI, 13.6-18.6%) and potentially preventable readmission rates ranged from 4.3% (95% CI, 3.7%-5.4%) to 7.3% (95% CI, 5.7%-8.3%). Using the All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities, 16 IRFs (1.4%) had 95% CIs above the national mean rate, 1137 IRFs (97.9%) had 95% CIs containing the national mean rate, and 9 IRFs (0.8%) had 95% CIs below the national mean rate. Using the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation, 8 IRFs (0.7%) had 95% CIs above the national mean rate, 1153 IRFs (99.2%) had 95% CIs containing the national mean rate, and 1 IRF (0.1%) had a 95% CI below the national mean rate.

CONCLUSIONS AND RELEVANCE

This cohort study found that readmission rates were lower when using the Potentially Preventable 30-Day Post-Discharge Readmission Measure for Inpatient Rehabilitation and further reduced discrimination between facilities compared with the recently discontinued All-Cause Unplanned Readmission Measure for 30 Days Post Discharge From Inpatient Rehabilitation Facilities. This finding may indicate there is a lack of room for improvement in readmission rates. Given the rationale of the Centers for Medicare & Medicaid Services for removing measures that fail to discriminate quality performance, this suggests that the current readmission measure should not be implemented as part of the Inpatient Rehabilitation Quality Reporting Program.

Multiyear Rehospitalization Rates and Hospital Outcomes in an Integrated Health Care System

IMPORTANCE

Since the introduction of the rehospitalization rate as a quality measure, multiple changes have taken place in the US health care delivery system. Interpreting rehospitalization rates without taking a global view of these changes and new data elements from comprehensive electronic medical records yields a limited assessment of the quality of care.

OBJECTIVE

To examine hospitalization outcomes from a broad perspective, including the implications of numerator and denominator definitions, all adult patients with all diagnoses, and detailed clinical data.

DESIGN, SETTING, AND PARTICIPANTS

This cohort study obtained data from 21 hospitals in Kaiser Permanente Northern California (KPNC), an integrated health care delivery system that serves patients with Medicare Advantage plans, Medicaid, and/or Kaiser Foundation Health Plan. The KPNC electronic medical record system was used to capture hospitalization data for adult patients who were 18 years of age or older; discharged from June 1, 2010, through December 31, 2017; and hospitalized for reasons other than childbirth. Hospital stays for transferred patients were linked using public and internal sources.

EXPOSURES

Hospitalization type (inpatient, for observation only), comorbidity burden, acute physiology score, and care directives.

MAIN OUTCOMES AND MEASURES

Mortality (inpatient, 30-day, and 30-day postdischarge), nonelective rehospitalization, and discharge disposition (home, home with home health assistance, regular skilled nursing facility, or custodial skilled nursing facility).

RESULTS

In total, 1 384 025 hospitalizations were identified, of which 1 155 034 (83.5%) were inpatient and 228 991 (16.5%) were for observation only. These hospitalizations involved 679 831 patients (mean [SD] age, 61.4 [18.1] years; 362 582 female [53.3%]). The number of for-observation-only hospitalizations increased from 16 497 (9.4%) in the first year of the study to 120 215 (20.5%) in the last period of the study, whereas inpatient hospitalizations with length of stay less than 24 hours decreased by 33% (from 12 008 [6.9%] to 27 108 [4.6%]). Illness burden measured using administrative data or acute physiology score increased significantly. The proportion of patients with a Comorbidity Point Score of 65 or higher increased from 20.5% (range across hospitals, 18.4%-26.4%) to 28.8% (range, 22.3%-33.0%), as did the proportion with a Charlson Comorbidity Index score of 4 or higher, which increased from 28.8% (range, 24.6%-35.0%) to 38.4% (range, 31.9%-43.4%). The proportion of patients at or near critical illness (Laboratory-based Acute Physiology Score [LAPS2] ≥110) increased by 21.4% (10.3% [range across hospitals, 7.4%-14.7%] to 12.5% [range across hospitals, 8.3%-16.6%]; P < .001), reflecting a steady increase of 0.07 (95% CI, 0.04-0.10) LAPS2 points per month. Unadjusted inpatient mortality in the first year of the study was 2.78% and in the last year was 2.71%; the corresponding numbers for 30-day mortality were 5.88% and 6.15%, for 30-day postdischarge mortality were 3.94% and 4.22%, and for nonelective rehospitalization were 12.00% and 12.81%, respectively. All outcomes improved after risk adjustment. Compared with the first month, the final observed to expected ratio was 0.79 (95% CI, 0.73-0.84) for inpatient mortality, 0.86 (95% CI, 0.82-0.89) for 30-day mortality, 0.90 (95% CI, 0.85-0.95) for 30-day nonelective rehospitalization, and 0.87 (95% CI, 0.83-0.92) for 30-day postdischarge mortality. The proportion of nonelective rehospitalizations meeting public reporting criteria decreased substantially over the study period (from 58.0% in 2010-2011 to 45.2% in 2017); most of this decrease was associated with the exclusion of observation stays.

CONCLUSIONS AND RELEVANCE

This study found that in this integrated system, the hospitalization rate decreased and risk-adjusted hospital outcomes improved steadily over the 7.5-year study period despite worsening case mix. The comprehensive results suggest that future assessments of care quality should consider the implications of numerator and denominator definitions, display multiple metrics concurrently, and include all hospitalization types and detailed data.

Rhode Island's investment in primary care transformation: A case study

INTRODUCTION

Rhode Island has received national recognition as a leader in statewide, multipayer, multistakeholder initiatives that focus on investments in primary care as a strategy to build a strong delivery system foundation that delivers high-quality, affordable health care.

METHOD

For this case study we summarize key structural, process and outcomes factors and lessons learned from internal and external evaluations and project based and stakeholder-engaged quality improvement efforts that helped Rhode Island become the most improved U.S. health system over the past 5 years.

RESULTS

Rhode Island's Office of the Insurance Commissioner through a collaborative process contractually established per-member, per-month payments to practices that engaged in the statewide transformation program to the patient-centered medical home model of care and paid incentives for achieving quality, patient experience, and hospital utilization targets.

DISCUSSION

Critical lessons learned include the importance of engaging stakeholders in systems change, measuring and monitoring primary care spending, and continuous learning and best-practice sharing. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

The Quality of Nursing Homes That Serve Patients With Human Immunodeficiency Virus

BACKGROUND/OBJECTIVES

As the national population of persons living with human immunodeficiency virus (HIV) ages, they will require greater postacute and long-term care use. Little is known about the quality of nursing homes (NHs) to which patients with HIV are admitted. In this study, we assess the association between the number of persons with HIV admitted annually to a given NH (HIV concentration) and that NH's quality outcomes.

DESIGN

A cross-sectional comparative study.

SETTING

NHs in nine states, from 2001 to 2012.

PARTICIPANTS

A total of 46 918 NH-years accounting for 67 301 admissions by patients with HIV.

MEASUREMENTS

We used 100% Medicaid Analytic Extract, Minimum Dataset 2.0 and 3.0, and Medicare claims from 2001 to 2012 from nine states to examine the association between HIV concentration and NH quality. Persons were classified as HIV positive on the basis of all available data sources, and a NH's percentage of new admissions with HIV was calculated (HIV concentration). We then compared differences in star ratings, rehospitalization rates, NH survey deficiencies, and restraint use by a NH's percentage of admissions with HIV, using linear random effects models.

RESULTS

After adjusting for NH characteristics, zip code characteristics, and state and year fixed effects, NHs with greater than 0% to 5% of admissions with HIV had a 0.6 lower star rating (P < .001), and a 0.4% percentage point higher 30-day rehospitalization rate (P < .01), compared to those with no HIV admissions. NHs with 5% to 50% of admissions with HIV had 7.0 more deficiencies (P < .001), a 0.1 lower star rating (P < .001), and a 1.5 percentage point higher rehospitalization rate (P < .001).

CONCLUSION

Persons with HIV were generally admitted to lower-quality NHs compared to persons without HIV. More efforts are needed to ensure that persons with HIV have access to high-quality NHs. J Am Geriatr Soc 67:2615-2621, 2019.

Benchmarking Cancer Centers: From Care Pathways to Integrated Practice Units

Background: Structuring cancer care into pathways can reduce variability in clinical practice and improve patient outcomes. International benchmarking can help centers with regard to development, implementation, and evaluation. A further step in the development of multidisciplinary care is to organize care in integrated practice units (IPUs), encompassing the whole pathway and relevant organizational aspects. However, research on this topic is limited. This article describes the development and results of a benchmark tool for cancer care pathways and explores IPU development in cancer centers. Methods: The benchmark tool was developed according to a 13-step benchmarking method and piloted in 7 European cancer centers. Centers provided data and site visits were performed to understand the context in which the cancer center operates and to clarify additional questions. Benchmark data were structured into pathway development and evaluation and assessed against key IPU features. Results: Benchmark results showed that most centers have formalized multidisciplinary pathways and that care teams differed in composition, and found almost 2-fold differences in mammography use efficiency. Suggestions for improvement included positioning pathways formally and structurally evaluating outcomes at a sufficiently high frequency. Based on the benchmark, 3 centers indicating that they had a breast cancer IPU were scored differently on implementation. Overall, we found that centers in Europe are in various stages of development of pathways and IPUs, ranging from an informal pathway structure to a full IPU-type of organization. Conclusions: A benchmark tool for care pathways was successfully developed and tested, and is available in an open format. Our tool allows for the assessment of pathway organization and can be used to assess the status of IPU development. Opportunities for improvement were identified regarding the organization of care pathways and the development toward IPUs. Three centers are in varying degrees of implementation and can be characterized as breast cancer IPUs. Organizing cancer care in an IPU could yield multiple performance improvements.