Health Care Utilization and Clinical Characteristics of Nonhospitalized Adults in an Integrated Health Care System 28-180 Days After COVID-19 Diagnosis - Georgia, May 2020-March 2021.

As of April 19, 2021, 21.6 million COVID-19 cases had been reported among U.S. adults, most of whom had mild or moderate disease that did not require hospitalization (1). Health care needs in the months after COVID-19 diagnosis among nonhospitalized adults have not been well studied. To better understand longer-term health care utilization and clinical characteristics of nonhospitalized adults after COVID-19 diagnosis, CDC and Kaiser Permanente Georgia (KPGA) analyzed electronic health record (EHR) data from health care visits in the 28-180 days after a diagnosis of COVID-19 at an integrated health care system. Among 3,171 nonhospitalized adults who had COVID-19, 69% had one or more outpatient visits during the follow-up period of 28-180-days. Compared with patients without an outpatient visit, a higher percentage of those who did have an outpatient visit were aged ≥50 years, were women, were non-Hispanic Black, and had underlying health conditions. Among adults with outpatient visits, 68% had a visit for a new primary diagnosis, and 38% had a new specialist visit. Active COVID-19 diagnoses* (10%) and symptoms potentially related to COVID-19 (3%-7%) were among the top 20 new visit diagnoses; rates of visits for these diagnoses declined from 2-24 visits per 10,000 person-days 28-59 days after COVID-19 diagnosis to 1-4 visits per 10,000 person-days 120-180 days after diagnosis. The presence of diagnoses of COVID-19 and related symptoms in the 28-180 days following acute illness suggests that some nonhospitalized adults, including those with asymptomatic or mild acute illness, likely have continued health care needs months after diagnosis. Clinicians and health systems should be aware of post-COVID conditions among patients who are not initially hospitalized for acute COVID-19 disease.

Development of an international standard set of outcome measures for patients with atrial fibrillation: a report of the International Consortium for Health Outcomes Measurement (ICHOM) atrial fibrillation working group.

AIMS: As health systems around the world increasingly look to measure and improve the value of care that they provide to patients, being able to measure the outcomes that matter most to patients is vital. To support the shift towards value-based health care in atrial fibrillation (AF), the International Consortium for Health Outcomes Measurement (ICHOM) assembled an international Working Group (WG) of 30 volunteers, including health professionals and patient representatives to develop a standardized minimum set of outcomes for benchmarking care delivery in clinical settings. METHODS AND RESULTS: Using an online-modified Delphi process, outcomes important to patients and health professionals were selected and categorized into (i) long-term consequences of disease outcomes, (ii) complications of treatment outcomes, and (iii) patient-reported outcomes. The WG identified demographic and clinical variables for use as case-mix risk adjusters. These included baseline demographics, comorbidities, cognitive function, date of diagnosis, disease duration, medications prescribed and AF procedures, as well as smoking, body mass index (BMI), alcohol intake, and physical activity. Where appropriate, and for ease of implementation, standardization of outcomes and case-mix variables was achieved using ICD codes. The standard set underwent an open review process in which over 80% of patients surveyed agreed with the outcomes captured by the standard set. CONCLUSION: Implementation of these consensus recommendations could help institutions to monitor, compare and improve the quality and delivery of chronic AF care. Their consistent definition and collection, using ICD codes where applicable, could also broaden the implementation of more patient-centric clinical outcomes research in AF.

A Randomized Trial of Displaying Paid Price Information on Imaging Study and Procedure Ordering Rates.

BACKGROUND: Prior studies have demonstrated how price transparency lowers the test-ordering rates of trainees in hospitals, and physician-targeted price transparency efforts have been viewed as a promising cost-controlling strategy. OBJECTIVE: To examine the effect of displaying paid-price information on test-ordering rates for common imaging studies and procedures within an accountable care organization (ACO). DESIGN: Block randomized controlled trial for 1 year. SUBJECTS: A total of 1205 fully licensed clinicians (728 primary care, 477 specialists). INTERVENTION: Starting January 2014, clinicians in the Control arm received no price display; those in the intervention arms received Single or Paired Internal/External Median Prices in the test-ordering screen of their electronic health record. Internal prices were the amounts paid by insurers for the ACO's services; external paid prices were the amounts paid by insurers for the same services when delivered by unaffiliated providers. MAIN MEASURES: Ordering rates (orders per 100 face-to-face encounters with adult patients): overall, designated to be completed internally within the ACO, considered "inappropriate" (e.g., MRI for simple headache), and thought to be "appropriate" (e.g., screening colonoscopy). KEY RESULTS: We found no significant difference in overall ordering rates across the Control, Single Median Price, or Paired Internal/External Median Prices study arms. For every 100 encounters, clinicians in the Control arm ordered 15.0 (SD 31.1) tests, those in the Single Median Price arm ordered 15.0 (SD 16.2) tests, and those in the Paired Prices arms ordered 15.7 (SD 20.5) tests (one-way ANOVA p-value 0.88). There was no difference in ordering rates for tests designated to be completed internally or considered to be inappropriate or appropriate. CONCLUSIONS: Displaying paid-price information did not alter how frequently primary care and specialist clinicians ordered imaging studies and procedures within an ACO. Those with a particular interest in removing waste from the health care system may want to consider a variety of contextual factors that can affect physician-targeted price transparency.

The impact of cost displays on primary care physician laboratory test ordering.

BACKGROUND: Physicians are under increased pressure to help control rising health care costs, though they lack information regarding cost implications of patient care decisions. OBJECTIVE: To evaluate the impact of real-time display of laboratory costs on primary care physician ordering of common laboratory tests in the outpatient setting. DESIGN: Interrupted time series analysis with a parallel control group. PARTICIPANTS: Two hundred and fifteen primary care physicians (153 intervention and 62 control) using a common electronic health record between April 2010 and November 2011. The setting was an alliance of five multispecialty group practices in Massachusetts. INTERVENTION: The average Medicare reimbursement rate for 27 laboratory tests was displayed within an electronic health record at the time of ordering, including 21 lower cost tests (< $40.00) and six higher cost tests (> $40.00). MAIN MEASURES: We compared the change-in-slope of the monthly laboratory ordering rate between intervention and control physicians for 12 months pre-intervention and 6 months post-intervention. We surveyed all intervention and control physicians at 6 months post-intervention to assess attitudes regarding costs and cost displays. KEY RESULTS: Among 27 laboratory tests, intervention physicians demonstrated a significant decrease in ordering rates compared to control physicians for five (19%) tests. This included a significant relative decrease in ordering rates for four of 21 (19%) lower cost laboratory tests and one of six (17%) higher cost laboratory tests. A majority (81%) of physicians reported that the intervention improved their knowledge of the relative costs of laboratory tests. CONCLUSIONS: Real-time display of cost information in an electronic health record can lead to a modest reduction in ordering of laboratory tests, and is well received. Our study demonstrates that electronic health records can serve as a tool to promote cost transparency and reduce laboratory test use.

Improving obstetric and perinatal outcomes with a remote patient monitoring program for hypertension in a large integrated care system.

OBJECTIVE: To determine the effect of a remote patient monitoring program for hypertension (RPM HTN) in patients diagnosed with hypertensive disorders of pregnancy. STUDY DESIGN: We used a matched retrospective cohort design to evaluate differences in obstetric and perinatal outcomes using data from electronic medical records. Patients enrolled in RPM HTN between November 1, 2019, and October 31, 2021, who delivered a pregnancy at ≥20 weeks gestation were compared to a cohort of patients matched by age, race, HTN and diabetes status, who delivered in the 48-month period before implementation of RPM HTN. RESULTS: 1030 patients were enrolled in RPM HTN and 937 were matched to historical controls. Five hundred and seventeen (50.2 %) were enrolled in the antepartum period and 513 (49.8 %) were enrolled postpartum. Patients in the RPM HTN cohort were more likely to have a post-hospital discharge blood pressure (BP) measured within the first 20 days after delivery (RR 1.56, 95 % CI: 1.47-1.65: p < 0.01) and were more likely to have that BP be normal (RR 1.43, 95 % CI: 1.31-1.55: p = 0.05). They were also more likely to be taking antihypertensives postpartum (RR 1.27, 95 % CI: 1.15-1.40; p < 0.01) and to be evaluated by an obstetric clinician within 20 days of delivery (RR 1.50, 95 % CI 1.42-1.58; p < 0.01). CONCLUSIONS: A remote HTN monitoring program for 937 obstetric patients was associated with improved BP monitoring, better postpartum BP control, and improved linkages to clinician care after delivery, when compared to historical controls.

"Stealth" alerts to improve warfarin monitoring when initiating interacting medications.

BACKGROUND: As electronic health records (EHRs) become widely adopted, alerts and reminders can improve medication safety, but excessive alerts may irritate or overwhelm clinicians, thereby reducing their effectiveness. We developed a novel "stealth" alert in an EHR to improve anticoagulation monitoring for patients prescribed a medication that could interact with warfarin. Instead of alerting the prescribing provider, the system notified a multidisciplinary anticoagulation management service, so that the prescribing clinicians never saw the alerts. We aimed to determine whether these "stealth" alerts increased the frequency of anticoagulation monitoring following the co-prescription of warfarin and a potentially interacting medication. METHODS: We conducted a pre-post intervention study, analyzed using an interrupted time-series, within a large, multispecialty group practice that uses a common EHR. The study included a 12-month period preceding the intervention, a 2-month period during intervention implementation, and a 6-month post-intervention period. The primary outcome measure was the proportion of patients completing anticoagulation monitoring within 5 days of a new co-prescribing event. RESULTS: Prior to implementation of the stealth alert, 34 % of patients completed anticoagulation monitoring within 5 days after the prescription of a medication with a potential warfarin interaction. After implementation of the alert, 39 % completed testing within 5 days (odds ratio 1.24, 95 % confidence interval 1.12-1.37). CONCLUSIONS: Stealth alerts increased the proportion of patients who underwent anticoagulation monitoring following the prescription of a medication that could potentially interact with warfarin. This team-based approach to clinical-decision support directs alerts away from prescribing clinicians and toward individuals who can directly implement them.

Clinical, behavioural and social factors associated with racial disparities in COVID-19 patients from an integrated healthcare system in Georgia: a retrospective cohort study.

OBJECTIVES: To identify sociodemographic, clinical and behavioural drivers of racial disparities and their association with clinical outcomes among Kaiser Permanente Georgia (KPGA) members with COVID-19. DESIGN: Retrospective cohort of patients with COVID-19 seen from 3 March to 29 October 2020. We described the distribution of underlying comorbidities, quality of care metrics, demographic and social determinants of health (SDOH) indicators across race groups. We also described clinical outcomes in hospitalised patients including length of stay, intensive care unit (ICU) admission, readmission and mortality. We performed multivariable analyses for hospitalisation risk among all patients with COVID-19 and stratifyied by race and sex. SETTING: KPGA, an integrated healthcare system. PARTICIPANTS: 5712 patients who all had laboratory-confirmed COVID-19. Of them, 57.8% were female, 58.4% black, 29.5% white, 8.5% Hispanic and 3.6% Asian. RESULTS: Black patients had the highest proportions of living in neighborhoods under the federal poverty line (12.4%) and in more deprived locations (neighbourhood deprivation index=0.4). Overall, 14.4% (n=827) of this cohort was hospitalised. Asian patients had the highest rates of ICU admission (53.1%) and mechanical ventilation (21.9%). Among all patients, Hispanics (adjusted 1.60, 95% CI (1.08, 2.37)), blacks (1.43 (1.13, 1.83)), age in years (1.03 (1.02, 1.04)) and living in a zip code with high unemployment (1.08 (1.03, 1.13)) were associated with higher odds of hospitalisation. COVID-19 patients with chronic obstructive pulmonary disease (2.59 (1.67, 4.02)), chronic heart failure (1.79 (1.31, 2.45)), immunocompromised (1.77 (1.16, 2.70)), with glycated haemoglobin >8% (1.68 (1.19, 2.38)), depression (1.60 (1.24, 2.06)), hypertension (1.5 (1.21, 1.87)) and physical inactivity (1.25 (1.03, 1.51)) had higher odds of hospitalisation. CONCLUSIONS: Black and Hispanic KPGA patients were at higher odds of hospitalisation, but not mortality, compared with other race groups. Beyond previously reported sociodemographics and comorbidities, factors such as quality of care, lifestyle behaviours and SDOH indicators should be considered when designing and implementing interventions to reduce COVID-19 racial disparities.

Factors Influencing Patient Satisfaction With Care and Surgical Outcomes for Total Hip and Knee Replacement.

INTRODUCTION: Although patient satisfaction with total joint arthroplasty has been a well-measured outcome, little is known about how preadmission and post-discharge care experiences affect patients' rating of satisfaction. OBJECTIVE: This work aimed to identify actionable factors associated with better ratings of overall care and surgical results. METHODS: A 36-item survey assessing care in the preoperative, perioperative, and post-discharge phases of care and across all phases was mailed to 7,031 patients who underwent primary unilateral elective total hip arthroplasty and total knee arthroplasty in 2018. Exploratory factor analysis identified 7 actionable domains. Stepwise logistic regression models identified domains associated with ratings of overall care and satisfaction with surgical outcome. RESULTS: Of the 3,026 (43%) patients who returned the survey; 2,814 (93%) rated their overall experience of care as very good or excellent and satisfaction with surgical results as ≥ 7 on a 10-point scale. In exploratory factor analysis, four factors predicted higher ratings of both overall care and surgical outcome: knowing what to do with symptoms and pain during recovery (factor 1), self-reported health (factor 3), knowing what to expect before surgery (factor 4), and shared decision making (factor 6). Coordinated information among providers (factor 2), home health experience (factor 5), and patient-provider relationships (factor 7) also predicted overall care ratings. CONCLUSION: Patient-centered quality improvement in total joint replacement care requires thinking of care across the entire episode, including before and after the hospital stay for surgery, in addition to perioperative care. The actionable factors identified from this study can be incorporated into total joint replacement care to improve patients' satisfaction with overall care and surgical results.

A computerized aid to support smoking cessation treatment for hospital patients.

BACKGROUND: Hospital-based interventions promote smoking cessation after discharge. Strategies to deliver these interventions are needed, especially now that providing smoking cessation advice or treatment, or both, to inpatient smokers is a publicly reported quality-of-care measure for US hospitals. OBJECTIVE: To assess the effect of adding a tobacco order set to an existing computerized order-entry system used to admit Medicine patients to 1 hospital. DESIGN: Pre-post study. MEASUREMENTS AND MAIN RESULTS: Proportion of admitted patients who had smoking status identified, a smoking counselor consulted, or nicotine replacement therapy (NRT) ordered during 4 months before and after the change. In 4 months after implementation, the order set was used with 76% of Medicine admissions, and a known smoking status was recorded for 81% of these patients. The intervention increased the proportion of admitted patients who were referred for smoking counseling (0.8 to 2.1%) and had NRT ordered (1.6 to 2.5%) (p < .0001 for both). Concomitantly, the hospital's performance on the smoking cessation quality measure improved. CONCLUSIONS: Adding a brief tobacco order set to an existing computerized order-entry system increased a hospital's provision of evidence-based tobacco treatment and helped to improve its performance on a publicly reported quality measure. It provides a model for US hospitals seeking to improve their quality of care for inpatients.

The Effect of Price Information on the Ordering of Images and Procedures.

BACKGROUND AND OBJECTIVES: Ordering rates for imaging studies and procedures may change if clinicians are shown the prices of those tests while they are ordering. We studied the effect of 2 forms of paid price information, single median price and paired internal/external median prices, on how often pediatric-focused and adult-oriented clinicians (most frequently general pediatricians and adult specialists caring for pediatric-aged patients, respectively) order imaging studies and procedures for 0- to 21-year-olds. METHODS: In January 2014, we randomized 227 pediatric-focused and 279 adult-oriented clinicians to 1 of 3 study arms: Control (no price display), Single Median Price, or Paired Internal/External Median Prices (both with price display in the ordering screen of electronic health record). We used 1-way analysis of variance and paired t tests to examine how frequently clinicians (1) placed orders and (2) designated tests to be completed internally within an accountable care organization. RESULTS: For pediatric-focused clinicians, there was no significant difference in the rates at which orders were placed or designated to be completed internally across the study arms. For adult-oriented clinicians caring for children and adolescents, however, those in the Single Price and Paired Price arms placed orders at significantly higher rates than those in the Control group (Control 3.2 [SD 4.8], Single Price 6.2 [SD 6.8], P < .001 and Paired Prices 5.2 [SD 7.9], P = .04). The rate at which adult-oriented clinicians designated tests to be completed internally was not significantly different across arms. CONCLUSIONS: The effect of price information on ordering rates appears to depend on whether the clinician is pediatric-focused or adult-oriented.