Clinical Quality Measures Research Articles

Adapted Kaizen: Multi-Organizational Complex Process Redesign for Adapting Clinical Guidelines for the Digital Age.

The need for a method to examine complex, multidisciplinary processes involving many diverse organizations initially led multiple US federal agencies to adopt the traditional Kaizen, a Lean process improvement method typically used within a single organization, to encompass multiple organizations each with its own leadership and priorities. First, the Centers for Medicare and Medicaid Services and the Office of the National Coordinator for Health Information Technology adapted Kaizen to federal agency processes for the development of electronic clinical quality measures. Later, the Centers for Disease Control and Prevention (CDC) further modified this adapted Kaizen during its Adapting Clinical Guidelines for the Digital Age (ACG) initiative, which aimed to improve the broader scope of guideline development and implementation. This is a methods article to document the adapted Kaizen method for future use in similar complex processes, illustrating how to apply the adapted Kaizen through CDC's ACG initiative and showing the reach achieved by using the adapted Kaizen method. The adapted Kaizen includes pre-Kaizen planning, a Kaizen event, and post-Kaizen implementation that accommodate multidisciplinary and multi-organizational participation. ACG included 5 workgroups that each developed products to support their respective scope: Guideline Creation, Informatics Framework, Translation and Implementation, Communication and Dissemination, and Evaluation. Despite challenges gathering diverse perspectives and balancing the competing priorities of multiple organizations, the ACG participants produced interrelated standards, processes, and tools-further described in separate publications-that programs and partners have leveraged. Use of a siloed approach may not have supported the development and dissemination of these products.

Socioeconomic factors and colorectal cancer incidence, stage and quality of care in Denmark during the COVID-19 pandemic

AimEfforts to control the COVID-19 pandemic might reduce accessibility for diagnostics and treatment of colorectal cancer. A universal public healthcare system may modify the availability of healthcare services. The aim of this study was to investigate changes in the quality of care for patients with colorectal cancer during the COVID-19 pandemic. MethodNationwide data from the Danish Colorectal Cancer database and Statistics Denmark on the number of new diagnoses, disease and health behaviour measures, socioeconomic measures, clinical quality measures and time to adjuvant chemotherapy were retrieved. Measures during the COVID-19 pandemic in 2020 and the different pandemic periods were compared to the pre-pandemic period. ResultIn 2020, 4035 patients were diagnosed with colorectal cancer, compared with 4346 in 2019 and 4496 in 2018. During the pandemic, patients were more likely to have UICC stage I disease (25.0% vs 23.4%; PR=1.07(95% confidence interval: 1.00;1.15)), belonging to the highest income quintile (PR=1.06(0.98;1.14), receive surgery with a curative aim (PR=1.02(1.01;1.03)), and to be operated on by a specialist (PR=1.07(1.06;1.08)), and less likely to be 60–69 years of age (PR=0.93(0.86;1.00)), non-western immigrants (PR=0.93(0.86;1.00)), diagnosed by screening (PR=0.79(0.73;0.86)) and receiving an acute operation (PR=0.77(0.66;0.91)). Furthermore, during the pandemic, 11.4% fewer patients waited 28 days or longer for initiation of adjuvant oncological treatment. ConclusionBased on nationwide data, we observed no major adverse effect on disease measures or clinical quality in a tax funded health care system. However, small changes in the socioeconomic composition of the patient population were observed.

Rationale and design for Healthy Hearts for Michigan (HH4M): A pragmatic single-arm hybrid effectiveness-implementation study

BackgroundThe burden of cardiovascular disease (CVD) is particularly high in several US states, which include the state of Michigan. Hypertension and smoking are two major risk factors for mortality due to CVD. Rural Michigan is disproportionally affected by CVD and by primary care shortages. The Healthy Hearts for Michigan (HH4M) study aims to promote hypertension management and smoking cessation through practice facilitation and quality improvement efforts and is part of the multi-state EvidenceNOW: Building State Capacity initiative to provide external support to primary care practices to improve care delivery. MethodsPrimary care practices in rural and underserved areas of Michigan were recruited to join HH4M, a pragmatic, single-arm hybrid Type 2 effectiveness-implementation study during which practice facilitation was delivered at the practice level for 12 months, followed by a 3-month maintenance period. ResultsFifty-four practices were enrolled over a 12-month recruitment period. At baseline, the mean proportion (standard deviation) of patients at the practice level meeting the clinical quality measures were: blood pressure, 0.72 (0.12); tobacco screening, 0.80 (0.30); tobacco cessation intervention, 0.57 (0.28); tobacco screening and cessation intervention: 0.78 (0.26). ConclusionThis three-year research program will evaluate the ability of rural and medically underserved primary care practices to implement the quality improvement model by identifying drivers of and barriers to sustainable implementation, and test whether the model improves (a) blood pressure control and (b) tobacco use screening and cessation.

2023 AHA/ACC Clinical Performance and Quality Measures for Coronary Artery Revascularization: A Report of the American College of Cardiology/American Heart Association Joint Committee on Performance Measures.

2023 AHA/ACC Clinical Performance and Quality Measures for Coronary Artery Revascularization: A Report of the American College of Cardiology/American Heart Association Joint Committee on Performance Measures.

Will your insurance type influence clinical quality outcomes? An investigation of contributing factors, underlying mechanism, and consequences

Although past studies have found differences in clinical quality outcomes based on patients' insurance type, the extent of these discrepancies, the underlying mechanisms supporting this relationship, and factors that can moderate this effect have not yet been addressed. We seek to fill this gap by studying the relationship between insurance type and clinical quality outcomes using the level of care received, that is, treatment intensity, as a mediator. Using agency theory, we argue that underinsured patients (patients insured by Medicaid) will experience more adverse clinical quality outcomes due to lower treatment intensity compared to privately insured patients. We then explore whether two contextual factors—patient complexity and resource utilization—influence the relationship between insurance type and treatment intensity, and in turn clinical quality outcomes. We use 2010–2016 data from California to test these relationships. The insurance types used for comparison are private and Medi‐Cal (California's equivalent of Medicaid, representing underinsured patients). A patient's 30‐day readmission rate is used as a measure of clinical quality and the log of charges normalized by wage index and inflation (called treatment intensity) is used as a proxy for the level of care they received. We use within‐hospital coarsened exact score matching to create a comparable group of patients using private and Medi‐Cal insurance followed by a hospital fixed effects regression with errors clustered by hospital to test these relationships. Results indicate that treatment intensity mediates the relationship between insurance type and clinical quality outcomes. Further, the difference in treatment intensity based on insurance type is reduced as patient complexity increases, while higher utilization at a hospital lowers its incentive to provide equitable care to underinsured patients.

Developing electronic clinical quality measures to assess the cancer diagnostic process.

Measures of diagnostic performance in cancer are underdeveloped. Electronic clinical quality measures (eCQMs) to assess quality of cancer diagnosis could help quantify and improve diagnostic performance. We developed 2 eCQMs to assess diagnostic evaluation of red-flag clinical findings for colorectal (CRC; based on abnormal stool-based cancer screening tests or labs suggestive of iron deficiency anemia) and lung (abnormal chest imaging) cancer. The 2 eCQMs quantified rates of red-flag follow-up in CRC and lung cancer using electronic health record data repositories at 2 large healthcare systems. Each measure used clinical data to identify abnormal results, evidence of appropriate follow-up, and exclusions that signified follow-up was unnecessary. Clinicians reviewed 100 positive and 20 negative randomly selected records for each eCQM at each site to validate accuracy and categorized missed opportunities related to system, provider, or patient factors. We implemented the CRC eCQM at both sites, while the lung cancer eCQM was only implemented at the VA due to lack of structured data indicating level of cancer suspicion on most chest imaging results at Geisinger. For the CRC eCQM, the rate of appropriate follow-up was 36.0% (26 746/74 314 patients) in the VA after removing clinical exclusions and 41.1% at Geisinger (1009/2461 patients; P < .001). Similarly, the rate of appropriate evaluation for lung cancer in the VA was 61.5% (25 166/40 924 patients). Reviewers most frequently attributed missed opportunities at both sites to provider factors (84 of 157). We implemented 2 eCQMs to evaluate the diagnostic process in cancer at 2 large health systems. Health care organizations can use these eCQMs to monitor diagnostic performance related to cancer.

The Global Malnutrition Composite Score Quality Measure-Seize this Opportunity to Benefit Older Adult Care and Health Equity!

In August 2022, the Centers for Medicare and Medicaid Services (CMS) adopted its first-ever nutrition electronic clinical quality measure (eCQM), known as the Global Malnutrition Composite Score (GMCS) as part of the Inpatient Hospital Quality Reporting (IQR) Program. Starting in January 2024, hospitals can self-select to include the GMCS as one of three optional eCQMs for reporting. This article focuses on the importance of addressing malnutrition to improve the overall health of the aging population, reduce preventable healthcare expenditures and achieve greater health equity. A detailed explanation of the development of the GMCS, its components, its utility, and the critical role of registered dietitian nutritionists (RDNs) in promoting its adoption are discussed. The successful implementation of malnutrition quality measures and their positive impact on patient care and business operations is exemplified through the experience of the Novant Health New Hanover Regional Medical Center of Southeastern North Carolina. A recommended process for RDNs to pursue to secure the adoption of the GMCS at their respective hospitals and supporting resources are reviewed.

Measuring Pediatric Palliative Care Quality: Challenges and Opportunities.

Pediatric palliative care (PPC) programs vary widely in structure, staffing, funding, and patient census, resulting in inconsistency in service provision. Improving the quality of palliative care for children living with serious illness and their families requires measuring care quality, ensuring that quality measurement is embedded into day-to-day clinical practice, and aligning quality measurement with healthcare policy priorities. Yet, numerous challenges exist in measuring PPC quality. This paper provides an overview of PPC quality measurement, including challenges, current initiatives, and future opportunities. While important strides toward addressing quality measurement challenges in PPC have been made, including ongoing quality measurement initiatives like the Cambia Metrics Project, the PPC What Matters Most study, and collaborative learning networks, more work remains. Providing high-quality PPC to all children and families will require a multi-pronged approach. In this paper, we suggest several strategies for advancing high-quality PPC, which includes 1) considering how and by whom success is defined, 2) evaluating, adapting, and developing PPC measures, including those that address care disparities within PPC for historically marginalized and excluded communities, 3) improving the infrastructure with which to routinely and prospectively measure, monitor, and report clinical and administrative quality measures, 4) increasing endorsement of PPC quality measures by prominent quality organizations to facilitate accountability and possible reimbursement, and 5) integrating PPC-specific quality measures into the administrative, funding, and policy landscape of pediatric healthcare.

Changes in Primary Care Quality Associated With Implementation of the Veterans Health Administration Preventive Health Inventory

The COVID-19 pandemic caused significant disruptions in primary care delivery. The Veterans Health Administration (VHA) launched the Preventive Health Inventory (PHI) program-a multicomponent care management intervention, including a clinical dashboard and templated electronic health record note-to support primary care in delivering chronic disease care and preventive care that had been delayed by the pandemic. To describe patient, clinician, and clinic correlates of PHI use in primary care clinics and to examine associations between PHI adoption and clinical quality measures. This quality improvement study used VHA administrative data from February 1, 2021, through February 28, 2022, from a national cohort of 216 VHA primary care clinics that have implemented the PHI. Participants comprised 829 527 veterans enrolled in primary care in clinics with the highest and lowest decile of PHI use as of February 2021. Templated electronic health record note documenting use of the PHI. Diabetes and blood pressure clinical quality measures were the primary outcomes. Interrupted time series models were applied to estimate changes in diabetes and hypertension quality measures associated with PHI implementation. Low vs high PHI use was stratified at the facility level to measure whether systematic differences in uptake were associated with quality. A total of 216 primary clinics caring for 829 527 unique veterans (mean [SD] age, 64.1 [16.9] years; 755 158 of 829 527 [91%] were men) formed the study cohort. Use of the PHI varied considerably across clinics. The clinics in the highest decile of PHI use completed a mean (SD) of 32 997.4 (14 019.3) notes in the electronic health record per 100 000 veterans compared with 56.5 (35.3) notes per 100 000 veterans at the clinics in the lowest decile of use (P < .001). Compared with the clinics with the lowest use of the PHI, clinics with the highest use had a larger mean (SD) clinic size (12 072 [7895] patients vs 5713 [5825] patients; P < .001), were more likely to be urban (91% vs 57%; P < .001), and served more non-Hispanic Black veterans (16% vs 5%; P < .001) and Hispanic veterans (14% vs 4%; P < .001). Staffing did not differ meaningfully between high- and low-use clinics (mean [SD] ratio of full-time equivalent staff to clinician, 3.4 [1.2] vs 3.4 [0.8], respectively; P < .001). After PHI implementation, compared with the clinics with the lowest use, those with the highest use had fewer veterans with a hemoglobin A1c greater than 9% or missing (mean [SD], 6577 [3216] per 100 000 veterans at low-use clinics; 9928 [4236] per 100 000 veterans at high-use clinics), more veterans with an annual hemoglobin A1c measurement (mean [SD], 13 181 [5625] per 100 000 veterans at high-use clinics; 8307 [3539] per 100 000 veterans at low-use clinics), and more veterans with adequate blood pressure control (mean [SD], 20 582 [12 201] per 100 000 veterans at high-use clinics; 12 276 [6850] per 100 000 veterans at low-use clinics). This quality improvement study of the implementation of the VHA PHI suggests that higher use of a multicomponent care management intervention was associated with improved quality-of-care metrics. The study also found significant variation in PHI uptake, with higher uptake associated with clinics with more racial and ethnic diversity and larger, urban clinic sites.

A novel cardio-oncology service line model in optimizing care access, quality and equity for large, multi-hospital health systems

BackgroundDespite the rapid growth of cardio-oncology as a subspecialty, cancer patients are still underserved from a cardiovascular perspective. A new care model is needed to integrate comprehensive cardio-oncology care with community-based facilities to improve care access, quality, and equity. Here, we present a cardio-oncology service line model for large, multi-hospital health systems to address this need.MethodsAn academic cardio-oncology program was first established using a multidisciplinary approach. Five infrastructure elements for a service line model were created, including strategic accountability, standardized care, dedicated resources, patient experience/education, and branding/identity. We then utilized these elements across our healthcare system to establish a quality-controlled and centrally governed cardio-oncology service line structure. Protocols were created to standardize care and ensure consistency and quality, including referral workflow, imaging, cardiotoxicity surveillance, and clinical management. An IRB-approved cardio-oncology registry was established for outcome tracking.ResultsThe standardized cardio-oncology services were expanded to eight hospitals and ten outpatient care centers, including rural outreach offices, resulting in increased patient access and improved clinical quality measures. The service area expanded 17-fold, and an estimated rural population of 204,133 gained access to care. Cardio-oncology office visits increased by approximately 600% three years after implementation of the service line model.ConclusionsA cardio-oncology service line with standardized care is a feasible and effective care model to improve cardio-oncology care quality, patient access, and health equity in large, multi-hospital health systems. It can be used in conjunction with academic cardio-oncology programs to improve the overall cardio-oncology healthcare efficacy in the US.

Exploring the Association Between Physician Continuity of Care and Diagnosing Hypertension.

Context. The American Board of Family Medicine was funded by the Gordon Betty Moore Foundation to study the association between physician continuity of care, a clinical quality measure, and its impact on accurate, timely, efficient, and cost-effective diagnosis of target conditions that contribute to cardiovascular disease. In this exploratory analysis, we used electronic health records data from the PRIME registry to examine the association of continuity with factors leading to a hypertension diagnosis. Objective. 1) to determine the rate and timeliness of hypertension diagnosis, 2) to investigate the number of hypertension-level blood pressure (BP) readings in the 12 months prior to the diagnosis, and 3) to explore the association between physician continuity of care and these variables. Study Design and Population Studied. In this cohort study, we created two patient cohorts. Our prospective cohort consisted of patients who had 2 or more BP readings greater than SBP of 130 or DBP of 80 mm Hg in 2017-2018 and who did not have a hypertension diagnosis prior to the date of the second reading. Our retrospective cohort consisted of patients who had a hypertension diagnosis in 2018-2019. Dataset. Electronic health records extracted from the PRIME registry Outcome Measures. The rate of diagnosis was calculated by dividing the number of patients with a hypertension diagnosis by the number of patients whose BP readings exceeded the thresholds for hypertension per clinical guidelines. We investigated the timeliness of diagnosis by counting the average days between the second reading and the diagnosis dates. We also identified the number of hypertension-level BP readings in the past 12 months for patients diagnosed with hypertension. Results. Of 7,615 eligible patients from 4 pilot practices, the rate of hypertension diagnosis varied from 39.6% (solo practice) to 11.5% (large practice). The average days until diagnosis ranged from 142 days (solo practice) to 247 days (medium practice). Among patients diagnosed with hypertension (n=104,727), 25.7% had 0, 39.8% had 1, 14.7% had 2 and 19.7 had 3 or more hypertension-level BP readings in the 12 months prior to the diagnosis. We found no significant association between physician continuity of care and the rate or timeliness of the hypertension diagnosis. Conclusions. Factors leading to a hypertension diagnosis may be influenced more by other unobserved variables than by physician continuity of care.

Use of Clinical Practice Guidelines and Quality Metrics to Assess Primary Care Management of Osteoporosis.

Background: Clinical practice guidelines and quality measures provide recommendations for physicians addressing osteoporosis management. This study explored the alignment of osteoporosis clinical practice in a primary care geriatric clinic with recommended guidelines. Methods: This retrospective chart review included 388 patients 65 or older from a primary care geriatric clinic diagnosed with osteopenia or osteoporosis, with or without a fragility fracture. Data included history of falls and use of DXA scans, FRAX® fracture risk assessment tool, osteoporosis medication, and fall risk mitigation plans. Results: For age-related primary fracture prevention, 68% of women and 87% of men had documented DXA scans, and 45% of patients diagnosed with osteoporosis and 42% determined at high risk were prescribed osteoporosis medication. For secondary fracture prevention, 72% of women aged 67 to 85 had DXA scans and 21% were prescribed osteoporosis medication. Only 10% of patients with a history of falls had documented fall risk management plans. Conclusion: Although showing higher rates of primary and secondary prevention outcomes than did research results from general primary care, gaps were identified for high fracture risk patients and fall risk management documentation. Medical record review may not provide sufficient data to capture factors influencing decision-making for fracture prevention.

Consensus Quality Measures and Dose Constraints for Prostate Cancer From the Veterans Affairs Radiation Oncology Quality Surveillance Program and American Society for Radiation Oncology Expert Panel

PurposeThere are no agreed upon measures to comprehensively determine the quality of radiation oncology (RO) care delivered for prostate cancer. Consequently, it is difficult to assess the implementation of scientific advances and adherence to best practices in routine clinical practice. To address this need, the US Department of Veterans Affairs (VA) National Radiation Oncology Program established the VA Radiation Oncology Quality Surveillance (VA ROQS) Program to develop clinical quality measures to assess the quality of RO care delivered to Veterans with cancer. This article reports the prostate cancer consensus measures. Methods and MaterialsThe VA ROQS Program contracted with the American Society for Radiation Oncology to commission a Blue Ribbon Panel of prostate cancer experts to develop a set of evidence-based measures and performance expectations. From February to June 2021, the panel developed quality, aspirational, and surveillance measures for (1) initial consultation and workup, (2) simulation, treatment planning, and delivery, and (3) follow-up. Dose-volume histogram (DVH) constraints to be used as quality measures for definitive and post-prostatectomy radiation therapy were selected. The panel also identified the optimal Common Terminology Criteria for Adverse Events, version 5.0 (CTCAE V5.0), toxicity terms to assess in follow-up. ResultsEighteen prostate-specific measures were developed (13 quality, 2 aspirational, and 3 surveillance). DVH metrics tailored to conventional, moderately hypofractionated, and ultrahypofractionated regimens were identified. Decision trees to determine performance for each measure were developed. Eighteen CTCAE V5.0 terms were selected in the sexual, urinary, and gastrointestinal domains as highest priority for assessment during follow-up. ConclusionsThis set of measures and DVH constraints serves as a tool for assessing the comprehensive quality of RO care for prostate cancer. These measures will be used for ongoing quality surveillance and improvement among veterans receiving care across VA and community sites. These measures can also be applied to clinical settings outside of those serving veterans.

Human tibial cortical bone with high porosity in type 2 diabetes mellitus is accompanied by distinctive bone material properties.

Diabetes mellitus is a metabolic disease affecting bone tissue at different length-scales. Higher fracture risk in diabetic patients is difficult to detect with common clinical fracture risk assessment due to normal or high bone mineral density in diabetic patients. The observed higher fracture risk despite normal to high areal bone mineral density in diabetic patients points towards impaired bone material quality. Here, we analyze tibial bone from individuals with type 2 diabetes mellitus using a multiscale-approach, which includes clinical and laboratory-based bone quality measures. Tibial cortical bone tissue from individuals with type 2 diabetes mellitus (T2DM) and age-matched healthy controls (n=15 each) was analyzed with in situ impact indentation, dual energy X-ray absorptiometry (DXA), high resolution peripheral microcomputed tomography (HR-pQCT), micro-computed tomography (microCT), cyclic indentation, quantitative backscattered electron microscopy (qBEI), vibrational spectroscopy (Raman), nanoindentation, and fluorescence spectroscopy. With this approach, a high cortical porosity subgroup of individuals with T2DM was discriminated from two study groups: individuals with T2DM and individuals without T2DM, while both groups were associated with similar cortical porosity quantified by means of microCT. The high porosity T2DM group, but not the T2DM group, showed compromised bone quality expressed by altered cyclic indentation properties (transversal direction) in combination with a higher carbonate-to-amide I ratio in endocortical bone. In addition, in the T2DM group with high cortical porosity group, greater cortical pore diameter was identified with HR-pQCT and lower tissue mineral density using microCT, both compared to T2DM group. Micromechanical analyses of cross-sectioned osteons (longitudinal direction) with cyclic indentation, qBEI, and nanoindentation showed no differences between the three groups. High tibial cortical porosity in T2DM can be linked to locally altered bone material composition. As the tibia is an accessible skeletal site for fracture risk assessment in the clinics (CT, indentation), our findings may contribute to further understanding the site-specific structural and compositional factors forming the basis of bone quality in diabetes mellitus. Refined diagnostic strategies are needed for a comprehensive fracture risk assessment in diabetic bone disease.

How Timely Is Diagnosis of Lung Cancer? Cohort Study of Individuals with Lung Cancer Presenting in Ambulatory Care in the United States.

The diagnosis of lung cancer in ambulatory settings is often challenging due to non-specific clinical presentation, but there are currently no clinical quality measures (CQMs) in the United States used to identify areas for practice improvement in diagnosis. We describe the pre-diagnostic time intervals among a retrospective cohort of 711 patients identified with primary lung cancer from 2012-2019 from ambulatory care clinics in Seattle, Washington USA. Electronic health record data were extracted for two years prior to diagnosis, and Natural Language Processing (NLP) applied to identify symptoms/signs from free text clinical fields. Time points were defined for initial symptomatic presentation, chest imaging, specialist consultation, diagnostic confirmation, and treatment initiation. Median and interquartile ranges (IQR) were calculated for intervals spanning these time points. The mean age of the cohort was 67.3 years, 54.1% had Stage III or IV disease and the majority were diagnosed after clinical presentation (94.5%) rather than screening (5.5%). Median intervals from first recorded symptoms/signs to diagnosis was 570 days (IQR 273-691), from chest CT or chest X-ray imaging to diagnosis 43 days (IQR 11-240), specialist consultation to diagnosis 72 days (IQR 13-456), and from diagnosis to treatment initiation 7 days (IQR 0-36). Symptoms/signs associated with lung cancer can be identified over a year prior to diagnosis using NLP, highlighting the need for CQMs to improve timeliness of diagnosis.

Measuring the Value Functions of Primary Care: Physician-Level Continuity of Care Quality Measure.

Care continuity is foundational to the clinician/patient relationship; however, little has been done to operationalize continuity of care (CoC) as a clinical quality measure. The American Board of Family Medicine developed the Primary Care CoC clinical quality measure as part of the Measures That Matter to Primary Care initiative. Using 12-month Optum Clinformatics Data Mart claims data, we calculated the Bice-Boxerman Continuity of Care Index for each patient, which we rolled up to create an aggregate, physician-level CoC score. The physician quality score is the percent of patients with a Bice-Boxerman Index ≥0.7 (70%). We tested validity in 2 ways. First, we explored the validity of using 0.7 as a threshold for patient CoC within the Optum claims database to validate its use for reflecting patient-level continuity. Second, we explored the validity of the physician CoC measure by examining its association with patient outcomes. We assessed reliability using signal-to-noise methodology. Mean performance on the measure was 27.6%; performance ranged from 0% to 100% (n = 555,213 primary care physicians). Higher levels of CoC were associated with lower levels of care utilization. The measure indicated acceptable levels of validity and reliability. Continuity is associated with desirable health and cost outcomes as well as patient preference. The CoC clinical quality measure meets validity and reliability requirements for implementation in primary care payment and accountability. Care continuity is important and complementary to access to care, and prioritizing this measure could help shift physician and health system behavior to support continuity.

Centers for Medicare & Medicaid Services' Hospital Harm Measures for Severe Hypoglycemia and Hyperglycemia: Is Your Hospital Ready?

Poor inpatient glycemic management is associated with increased lengths of stay and in-hospital morbidity and mortality. Improving inpatient glycemic outcomes can be difficult because there are no standardized benchmarks, and many hospitals lack the capacity to electronically extract and analyze glucose data. The Centers for Medicare & Medicaid Services recently proposed new electronic clinical quality measures to be incorporated into its mandatory Hospital Inpatient Quality Reporting Program. Among these measures is an assessment of hospital harm from severe hypoglycemia and severe hyperglycemia. Hospitals must be ready to collect the necessary data for these new measures by January 2023. The new measures could bring welcome attention to the need to implement guideline-based inpatient glycemic management. However, some hospitals that serve high-risk populations may be at risk for losing funding if they are unable to comply.

The First Year of the COVID-19 Pandemic: Changes in Preventive Services in Community Health Centers

IntroductionCommunity Health Centers provide comprehensive primary healthcare services to many underserved populations. It is unknown how routine preventive and chronic care services in Community Health Centers may have changed nationwide during the COVID-19 pandemic.MethodsThe 2014–2020 Health Resources and Services Administration Uniform Data System of Community Health Centers was used, and data analysis was conducted from November 2021 to May 2022. Data for clinical quality measures in 2020 were treated as during the pandemic, whereas receipt of care in 2019 and before were treated as before the pandemic. Outcomes included 6 clinical quality measures of being up to date for colorectal cancer screening, cervical cancer screening, tobacco screening and cessation counseling, BMI screening and follow-up, depression screening and follow-up, and aspirin use for ischemic vascular disease. A mixed effects regression model was used to estimate changes in measures by year.ResultsBetween 2019 and 2020, receipt of preventive services declined for each of the 6 clinical quality measures: from 40.8% to 37.7% for colorectal cancer screening, from 48.8% to 44.9% for cervical cancer screening, from 85.8% to 83.4% for tobacco screening and cessation counseling, from 70.7% to 65.4% for BMI screening and follow-up, from 71.1% to 64.9% for depression screening and follow-up, and from 81.5% to 79.4% for aspirin use for ischemic vascular disease.ConclusionsReceipt of preventive services in Community Health Centers declined during the COVID-19 pandemic for each of the 6 clinical quality measures considered in the study. Immediate action is required to support ongoing high-quality, primary healthcare services in Community Health Centers across the nation.

Investigation of clinical characteristics and genome associations in the 'UK Lipoedema' cohort.

Lipoedema is a chronic adipose tissue disorder mainly affecting women, causing excess subcutaneous fat deposition on the lower limbs with pain and tenderness. There is often a family history of lipoedema, suggesting a genetic origin, but the contribution of genetics is currently unclear. A tightly phenotyped cohort of 200 lipoedema patients was recruited from two UK specialist clinics. Objective clinical characteristics and measures of quality of life data were obtained. In an attempt to understand the genetic architecture of the disease better, genome-wide single nucleotide polymorphism (SNP) genotype data were obtained, and a genome wide association study (GWAS) was performed on 130 of the recruits. The analysis revealed genetic loci suggestively associated with the lipoedema phenotype, with further support provided by an independent cohort taken from the 100,000 Genomes Project. The top SNP rs1409440 (ORmeta ≈ 2.01, Pmeta ≈ 4 x 10-6) is located upstream of LHFPL6, which is thought to be involved with lipoma formation. Exactly how this relates to lipoedema is not yet understood. This first GWAS of a UK lipoedema cohort has identified genetic regions of suggestive association with the disease. Further replication of these findings in different populations is warranted.

Clinical performance and quality measures for heart failure management in China: the China-Heart Failure registry study.

Heart failure (HF) remains a major public health problem with increasing prevalence in China. This study evaluated the clinical performance and quality measures for HF management to identify gaps in the standardization of care for patients hospitalized for HF in China. Following the results of China-HF stage I (2012-2015), the second stage of the China-HF was launched in 2017. Among 113 hospitals with ≥100 cases, the China-HF Stage II assessed the quality of care measures for HF and compared results with previous data in China and the US-based Get with The Guidelines-Heart Failure (GWTG-HF) registries. In total, 34938 patients hospitalized with HF were enrolled from January 2017 to October 2020. Echocardiographic left ventricular function and natriuretic peptide test were performed in 93.7% and 93.0% of the cases, respectively. Adherence to standardized guidelines in China-HF stage II was higher than that in the China-HF stage I, but generally lower than GWTG-HF registry with 78.2% of eligible patients was prescribed oral diuretics, 78.7% renin-angiotensin-system inhibitors, and 82.2% beta-blockers. Implantable cardioverter-defibrillators and cardiac resynchronization devices were implanted in 3.9% and 14.6%, respectively. In contrast, the proportion of eligible patients discharged with spironolactone (87.8%) was higher than GWTG-HF. The median length of hospitalization was 9 (6, 12) days, and 938 (2.8%) patients died or withdrew from treatment during hospitalization. Despite significant improvements in the use of guideline-recommended testing and therapy, there remain major gaps in quality of care for patients hospitalized for HF in China that are generally larger than gaps observed in the United States.