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 valuebased 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) tong-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.

Introduction: Racial and ethnic minorities have shouldered a disproportioned burden of coronavirus disease 2019 (COVID-19) infection to date in the US, but data on the various drivers of these disparities is limited. Objectives: To describe the characteristics and outcomes of COVID-19 patients and explore factors associated with hospitalization risk by race. Methods: Case series of 448 consecutive patients with confirmed COVID-19 seen at Kaiser Permanente Georgia (KPGA), an integrated health care system serving the Atlanta metropolitan area, from March 3 to May 12, 2020. KPGA members with laboratory-confirmed COVID-19. Multivariable analyses for hospitalization risk also included an additional 3489 persons under investigation (PUI) with suspected infection. COVID-19 treatment and outcomes, underlying comorbidities and quality of care management metrics, socio-demographic and other individual and community-level social determinants of health (SDOH) indicators. Results: Of 448 COVID-19 positive members, 68,3% was non-Hispanic Black (n=306), 18% non-Hispanic White (n=81) and 13,7% Other race (n=61). Median age was 54 [IQR 43-63) years. Overall, 224 patients were hospitalized, median age 60 (50-69) years. Black race was a significant factor in the Confirmed + PUI, female and male models (ORs from 1.98 to 2.19). Obesity was associated with higher hospitalization odds in the confirmed, confirmed + PUI, Black and male models (ORs from 1.78 to 2.77). Chronic disease control metrics (diabetes, hypertension, hyperlipidemia) were associated with lower odds of hospitalization ranging from 48% to 35% in the confirmed + PUI and Black models. Self-reported physical inactivity was associated with 50% higher hospitalization odds in the Black and Female models. Residence in the Northeast region of Atlanta was associated with lower hospitalization odds in the Confirmed + PUI, White and female models (ORs from 0.22 to 0.64) Conclusions: We found that non-Hispanic Black KPGA members had a disproportionately higher risk of infection and, after adjusting for covariates, twice the risk of hospitalization compared to other race groups. We found no significant differences in clinical outcomes or mortality across race/ethnicity groups. In addition to age, sex and comorbidity burden, pre-pandemic self-reported exercise, metrics on quality of care and control of underlying cardio-metabolic diseases, and location of residence in Atlanta were significantly associated with hospitalization risk by race groups. Beyond well-known physiologic and clinical factors, individual and community-level social indicators and health behaviors must be considered as interventions designed to reduce COVID-19 disparities and the systemic effects of racism are implemented.

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. 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). Block randomized controlled trial for 1 year. A total of 1205 fully licensed clinicians (728 primary care, 477 specialists). 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. 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). 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. 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.

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.

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.

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.

Mini-Review BMJ 10-Minuten-KonsultationRaucherentwöhnungK.E. Koplan, S.P. David, and N.A. RigottiK.E. KoplanSearch for more papers by this author, S.P. DavidSearch for more papers by this author, and N.A. RigottiSearch for more papers by this authorPublished Online:December 20, 2012https://doi.org/10.1024/1661-8157.97.22.1185PDF ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInReddit SectionsMoreFiguresReferencesRelatedDetails Volume 97Issue 22November 2008ISSN: 1661-8157eISSN: 1661-8165 InformationPraxis (2012), 97, pp. 1185-1186 https://doi.org/10.1024/1661-8157.97.22.1185.© 2012Hogrefe AGPDF download

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.

A 52 year old man with asthma, hyperlipidaemia, and a family history of early onset heart disease comes to see you because of increased wheezing and dyspnoea. He has smoked a pack per day for 36 years. He tried quitting “cold turkey” but felt irritable and couldn’t concentrate; he tried nicotine gum but it didn’t work. He is willing to try stopping smoking again but wonders if it is too late for him to benefit from quitting and if he ever can quit.