Creating implementable clinical practice guidelines: the 2020 Focused Updates to the National Heart, Lung, and Blood Institute's Asthma Management Guidelines.

BACKGROUND: The 2020 Focused Updates to the Asthma Management Guidelines: A Report from the National Asthma Education and Prevention Program Coordinating Committee Expert Panel Working Group provides the first new clinical practice recommendations from the National Heart, Lung, and Blood Institute (NHLBI) since the previous 2007 asthma management guidelines. Guideline implementability was a high priority for the expert panel, and many approaches were undertaken to enhance the implementability of this clinical guideline update. Within the report, specific implementation guidance sections provide expanded summaries for each recommendation to quickly assist users. The implementation guidance incorporates findings from NHLBI-sponsored focus groups conducted with people who have asthma, caregivers, and health care providers. The findings were used to identify the types of information and tools that individuals with asthma, their caregivers, and their health care providers would find most helpful; ensure that the new asthma guidelines reflect the voices of individuals with asthma and their caregivers; and identify potential barriers to uptake by individuals with asthma and their caregivers. The expert panel used a GRADE-based approach to develop evidence-to-decision tables that provided a framework for assessing the evidence and consideration of a range of contextual factors that influenced the recommendations such as desirable and undesirable effects, certainty of evidence, values, balance of effects, acceptability, feasibility, and equity. To facilitate uptake in clinical care workflow, selected recommendations were converted into structured, computer-based clinical decision support artifacts, and the new recommendations were integrated into existing treatment tables used in the 2007 asthma management guidelines, with which many users are familiar. A comprehensive approach to improve guidelines dissemination and implementation included scientific publications, patient materials, media activities, stakeholder engagement, and professional education. CONCLUSION: We developed evidence-based clinical practice guideline updates for asthma management focused on six topic areas. The guideline development processes and implementation and dissemination activities undertaken sought to enhance implementability by focusing on intrinsic factors as described by Kastner, Gagliardi, and others to produce usable, adoptable, and adaptable guidelines. Enhanced collaboration during guideline development between authors, informaticists, and implementation scientists may facilitate the development of tools that support the application of recommendations to further improve implementability.

State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states.

BACKGROUND: Although treatment and control of diabetes can prevent complications and reduce morbidity, few data sources exist at the state level for surveillance of diabetes comorbidities and control. Surveys and electronic health records (EHRs) offer different strengths and weaknesses for surveillance of diabetes and major metabolic comorbidities. Data from self-report surveys suffer from cognitive and recall biases, and generally cannot be used for surveillance of undiagnosed cases. EHR data are becoming more readily available, but pose particular challenges for population estimation since patients are not randomly selected, not everyone has the relevant biomarker measurements, and those included tend to cluster geographically. METHODS: We analyzed data from the National Health and Nutritional Examination Survey, the Health and Retirement Study, and EHR data from the DARTNet Institute to create state-level adjusted estimates of the prevalence and control of diabetes, and the prevalence and control of hypertension and high cholesterol in the diabetes population, age 50 and over for five states: Alabama, California, Florida, Louisiana, and Massachusetts. RESULTS: The estimates from the two surveys generally aligned well. The EHR data were consistent with the surveys for many measures, but yielded consistently lower estimates of undiagnosed diabetes prevalence, and identified somewhat fewer comorbidities in most states. CONCLUSIONS: Despite these limitations, EHRs may be a promising source for diabetes surveillance and assessment of control as the datasets are large and created during the routine delivery of health care. TRIAL REGISTRATION: Not applicable.

Use and Impact of Type 2 Diabetes Prevention Interventions.

INTRODUCTION: RCTs have found that type 2 diabetes can be prevented among high-risk individuals by metformin medication and evidence-based lifestyle change programs. The purpose of this study is to estimate the use of interventions to prevent type 2 diabetes in real-world clinical practice settings and determine the impact on diabetes-related clinical outcomes. METHODS: The analysis performed in 2020 used 2010‒2018 electronic health record data from 69,434 patients aged ≥18 years at high risk for type 2 diabetes in 2 health systems. The use and impact of prescribed metformin, lifestyle change program, bariatric surgery, and combinations of the 3 were examined. A subanalysis was performed to examine uptake and retention among patients referred to the National Diabetes Prevention Program. RESULTS: Mean HbA1c values declined from before to after intervention for patients who were prescribed metformin (-0.067%; p<0.001) or had bariatric surgery (-0.318%; p<0.001). Among patients referred to the National Diabetes Prevention Program lifestyle change program, the type 2 diabetes postintervention incidence proportion was 14.0% for nonattendees, 12.8% for some attendance, and 7.5% for those who attended ≥4 sessions (p<0.001). Among referred patients to the National Diabetes Prevention Program lifestyle change program, uptake was low (13% for 1‒3 sessions, 15% for ≥4 sessions), especially among males and Hispanic patients. CONCLUSIONS: Findings suggest that metformin and bariatric surgery may improve HbA1c levels and that participation in the National Diabetes Prevention Program may reduce type 2 diabetes incidence. Efforts to increase the use of these interventions may have positive impacts on diabetes-related health outcomes.

The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.

BACKGROUND: The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR) study uses a novel Electronic Health Record (EHR) data approach as a tool to assess the epidemiology of known and new risk factors for type 2 diabetes mellitus (T2DM) and study how prevention interventions affect progression to and onset of T2DM. We created an electronic cohort of 1.4 million patients having had at least 4 encounters with a healthcare organization for at least 24-months; were aged ≥18 years in 2010; and had no diabetes (i.e., T1DM or T2DM) at cohort entry or in the 12 months following entry. EHR data came from patients at nine healthcare organizations across the U.S. between January 1, 2010-December 31, 2016. RESULTS: Approximately 5.9% of the LEADR cohort (82,922 patients) developed T2DM, providing opportunities to explore longitudinal clinical care, medication use, risk factor trajectories, and diagnoses for these patients, compared with patients similarly matched prior to disease onset. CONCLUSIONS: LEADR represents one of the largest EHR databases to have repurposed EHR data to examine patients' T2DM risk. This paper is first in a series demonstrating this novel approach to studying T2DM. IMPLICATIONS: Chronic conditions that often take years to develop can be studied efficiently using EHR data in a retrospective design. LEVEL OF EVIDENCE: While much is already known about T2DM risk, this EHR's cohort's 160 M data points for 1.4 M people over six years, provides opportunities to investigate new unique risk factors and evaluate research hypotheses where results could modify public health practice for preventing T2DM.

Patient Safety Culture, Health Information Technology Implementation, and Medical Office Problems That Could Lead to Diagnostic Error.

BACKGROUND: Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment or by leading to unnecessary or harmful treatment. OBJECTIVES: The aim of the study was to investigate the relationship between patient safety culture, health information technology (IT) implementation, and the frequency of problems that could lead to diagnostic errors in the medical office setting, such as unavailable test results, unavailable medical records, or unpursued abnormal results. METHODS: We used survey data from 925 medical offices nationwide that voluntarily submitted results to the 2012 Agency for Healthcare Research and Quality Medical Office Surveys on Patient Safety Culture database. At the office level, we ran a multivariate regression model to estimate the effect of culture on problem frequency while controlling for office-reported implementation levels of health IT, office characteristics such as the number of locations, and survey characteristics such as the percent of respondents that were physicians. RESULTS: The most frequent problem was "results from a lab or imaging test were not available when needed"; across 925 offices, the average was 15% reporting that it happened daily or weekly. Higher overall culture scores were significantly associated with fewer occurrences of each problem assessed. Compared with offices with completed health IT implementation, offices in the process of health IT implementation had higher frequency of problems. CONCLUSIONS: This study offers insight into how patient safety culture and health IT implementation in medical offices can influence the frequency of breakdowns in processes of care, thereby identifying potential vulnerabilities that can increase diagnostic errors.

Hospital-Level Factors Related to 30-Day Readmission Rates.

This study investigates the relationship between inpatient quality of care as measured by the Agency for Healthcare Research and Quality (AHRQ) patient safety indicator (PSI) composite and all-cause, hospital-wide, 30-day readmission rates. Discharge data from 4 statewide databases were analyzed. Linear, repeated-measures regressions were performed to predict hospital-level 30-day readmission rates. The mean readmission rate was 12.9%, and the mean PSI composite ratio was 0.95 among 524 hospitals with 2592 observations. In the hospital-level analysis, the risk-adjusted AHRQ PSI composite was not significantly associated with hospital 30-day readmission rate after controlling for hospital-level characteristics, patient case mix, and sociodemographics. Inpatient quality of care appears to have less influence on hospital readmission rates than do clinical and socioeconomic factors. However, these results suggest that a patient safety composite measure that includes postdischarge complications would provide more information to assist hospitals and communities in understanding the association between quality of care and readmission rates.

Exploring relationships between hospital patient safety culture and adverse events.

OBJECTIVES: There has been very limited research linking staff perceptions of hospital patient safety culture with rates of adverse clinical events. This exploratory study examined relationships between the Agency for Healthcare Research and Quality's (AHRQ) Hospital Survey of Patient Safety Culture and rates of in-hospital complications and adverse events as measured by the AHRQ Patient Safety Indicators (PSIs). The general hypothesis was that hospitals with a more positive patient safety culture would have lower PSI rates. METHODS: We performed multiple regressions to examine the relationships between 15 patient safety culture variables and a composite measure of adverse clinical events based on 8 risk-adjusted PSIs from 179 hospitals, controlling for hospital bed size and ownership. All patient safety culture data were collected in 2005 and 2006 (except 1 late 2004 hospital), and all PSI data were collected in 2005. RESULTS: Nearly all of the relationships tested were in the expected direction (negative), and 7 (47%) of the 15 relationships were statistically significant. All significant relationships were of moderate size, with standardized regression coefficients ranging from -0.15 to -0.41, indicating that hospitals with a more positive patient safety culture scores had lower rates of in-hospital complications or adverse events as measured by PSIs. CONCLUSIONS: Our findings support the idea that a more positive patient safety culture is associated with fewer adverse events in hospitals. Further research is needed to determine the generalizability of these results to larger sets of hospitals and to examine the causal relationship between patient safety culture and clinical patient outcomes.

Association of Health Plans' Healthcare Effectiveness Data and Information Set (HEDIS) performance with outcomes of enrollees with diabetes.

BACKGROUND: Few quality of care evaluations examine the relationship between clinical processes and patient outcomes. OBJECTIVE: To determine the association between health plan performance on Healthcare Effectiveness Data and Information Set (HEDIS) clinical processes and intermediate outcome measures and Health Outcomes Survey (HOS) self-reported physical and mental health scores among Medicare plan enrollees with diabetes. RESEARCH DESIGN: Secondary data analysis of 2002 HEDIS and 2001-2003 HOS data. SUBJECTS: This study focused on Medicare plan enrollees with self-reported diabetes (N = 8184). MEASURES: Plan-level HEDIS diabetes care measures for 2002 and longitudinal, patient-level 2001-2003 HOS physical and mental health outcomes scores. Hierarchical linear models estimated the relationship between plan HEDIS performance on diabetes process of care and intermediate outcome measures and 2-year changes in enrollee HOS physical and mental health scores. RESULTS: Each 10% point improvement in plan performance on HEDIS intermediate outcomes (ie, the proportion of well-controlled diabetes) was related to significant positive increase in the probability of being healthy as measured by both enrollee physical health scores (7 percentage point increase, P < 0.05) and mental health scores (11 percentage point increase, P < 0.01). Similar increases in plan process of care measures were associated with increases in the probability of being healthy as measured by enrollee mental health scores (11 percentage point increase, P < 0.001). CONCLUSIONS: This study represents one of the first attempts to link plan HEDIS performance to changes in enrollee health. The results suggest that improved quality of care, as measured by process and intermediate outcomes measures for diabetes, can result in better health among patients with diabetes. Further research should address whether this relationship exists in other quality measures, clinical conditions, and populations.

Spirometry utilization for COPD: how do we measure up?

BACKGROUND: COPD is a significant cause of morbidity and mortality. Guidelines recommend the confirmation of a COPD diagnosis with spirometry. Limited evidence exists, however, documenting the frequency of spirometry use in clinical practice. METHODS: The National Committee for Quality Assurance recruited five health plans to determine the proportion of patients >/= 40 years old with a new diagnosis of COPD who had received spirometry during the interval starting 720 days prior to diagnosis and ending 180 days after diagnosis. Patients were identified via International Classification of Diseases, Ninth Revision diagnostic codes for encounters during the period July 1, 2002, through June 30, 2003. For each patient, the participating plans provided patient demographic and claims data from administrative data systems. RESULTS: Participating health plans covered 1,597,749 members with a total of 5,039 eligible COPD patients identified. Patients in the 40 to 64 age range had the highest percentage of new COPD diagnoses. Women were also slightly more likely to undergo spirometry (33.5% vs 29.4%, p = 0.001). Approximately 32% of patients with a new diagnosis of COPD had undergone spirometry in the specified interval. Spirometry frequency was lowest in older patients, with the lowest frequency in those >/= 75 years old. CONCLUSIONS: Our study suggests that approximately 32% of a broad range of patients with a new COPD diagnosis had undergone spirometry within the previous 2 years to 6 months following diagnosis. In addition, spirometric testing appeared to decrease with increasing age. As opposed to a prior report, women were not less likely to have undergone spirometry. This study shows that spirometry is infrequently used in clinical practice for diagnosis of COPD and suggests opportunities for practice improvement.

Pay for performance: its influence on the use of IT in physician organizations.

The introduction of information technology (IT) in physician organizations and practices is a source of great interest to physician leaders and policy makers. In this article, the authors describe what may be the nation's largest pay-for-performance program, its performance metrics, and incentives for the implementation and use of IT in medical groups and independent physician associations (IPAs). Results include the increased use of electronic clinical data, point-of-care technology, and the generation of more actionable reports for quality improvement. Noteworthy are the efforts by physician organizations to enhance data collection to demonstrate improved clinical performance and earn financial incentives.

Management of urinary incontinence in Medicare managed care beneficiaries: results from the 2004 Medicare Health Outcomes Survey.

BACKGROUND: Despite the high prevalence of urinary incontinence (UI) among older persons and the existence of effective treatments, UI remains underreported by patients and underdiagnosed by clinicians. We measured the occurrence of UI problems in Medicare managed care beneficiaries, frequency of physician-patient communication regarding UI, and frequency of UI treatment. METHODS: We used cross-sectional data from the 2004 Medicare Health Outcomes Survey, which measured self-reported UI (accidental leakage of urine) and UI problems in the past 6 months, 36-Item Short-Form Health Survey health measures, discussions of UI with a health care provider, and receipt of UI treatment. RESULTS: The overall incidence of UI within the past 6 months was 37.3%, consistent with previous estimates. Problems with UI were strongly associated with poorer self-reported health. Mean 36-Item Short-Form Health Survey physical and mental health scores were lower by more than 5 points (on a 100-point scale, P<.001) for respondents with major UI problems when controlling for age, sex, race, Hispanic ethnicity, and major comorbidities. These differences were among the largest of any condition measured. Only 55.5% of those with self-reported UI problems reported discussing these problems during their recent visit to a physician or other health care provider. The rate of patient-reported UI treatment was 56.5% and was lower (P<.001) for older individuals (eg, 46.3% for those aged 90-94 years) or those with poor self-reported health status (50.5%). CONCLUSIONS: Among older persons, UI is common, underdiagnosed, and associated with substantial functional impairment. There appears to be considerable opportunity to mitigate the effects of UI on health and quality of life among community-dwelling older persons.

The relationship between quality and utilization in managed care.

OBJECTIVE: To examine correlations of commercial health plan performance on Health Plan Employer Data and Information Set (HEDIS) effectiveness-of-care measures with utilization rates, as a proxy for cost. STUDY DESIGN: Cross-sectional study of 254 commercial health plans. METHODS: This report used data reported by commercial managed care plans in the 2003 HEDIS dataset. Utilization measures included access to care (the proportion of adults with at least 1 primary care or preventive visit), outpatient use (the number of outpatient visits per 1000 members per year), inpatient discharges (the number of inpatient discharges for medical conditions per 1000 members per year), and inpatient days (inpatient hospital days for medical conditions per 1000 members per year). A composite quality score was calculated from HEDIS indicators. Estimates of health plan membership demographics were identified from Consumer Assessment of Health Plans (CAHPS) survey data. Of 316 reporting plans, 254 reported sufficient data to be included in this analysis. Bivariate correlations and multivariate regressions (controlling for health plan and membership characteristics) were conducted. RESULTS: Quality was positively correlated with access to outpatient care (r = 0.46, P < .001), negatively associated with inpatient days (r = -0.30, P < .001), and not associated with total outpatient visits (r = 0.04, not significant). Regression results controlling for selected plan and member characteristics demonstrated similar findings. CONCLUSIONS: Although the mechanism of this cross-sectional association is unclear, these data provide important starting points for further research on the interrelationships of quality and resource use.

The rural physician workforce in Florida: a survey of US- and foreign-born primary care physicians.

CONTEXT: To meet the challenge of primary care needs in rural areas, continuing assessment of the demographics, training, and future work plans of practicing primary care physicians is needed. PURPOSE: This study's goal was to assess key characteristics of primary care physicians practicing in rural, suburban, and urban communities in Florida. METHODS: Surveys were mailed to all of Florida's rural primary care physicians (n = 399) and a 10% sampling (n = 1236) of urban and suburban primary care physicians. FINDINGS: Responses from 1000 physicians (272 rural, 385 urban, 343 suburban) showed that rural physicians were more likely to have been raised in a rural area, foreign-born and trained, a National Health Service Corps member, or a J-1 visa waiver program participant. Rural physicians were more likely to have been exposed to rural medical practice or living in a rural environment during their medical school and residency training. Factors such as rural upbringing and medical school training did not predict future rural practice with foreign-born physicians. Overall, future plans for practice did not seem to differ between rural, urban, and suburban physicians. CONCLUSIONS: Recruiting and retaining doctors in rural areas can be best supported through a mission-driven selection of medical students with subsequent training in medical school and residency in rural health issues. National programs such as the National Health Service Corps and the J-1 visa waiver program also play important roles in rural physician selection and should be taken into account when planning for future rural health care needs.

Treatment of oralfacial clefts by state-affiliated craniofacial centers and cleft palate clinics.

BACKGROUND: Oralfacial clefting (OFC) disorders require expedient evaluation and treatment to obtain optimal outcome. In Florida, there is a statewide program targeted to the care of infants with OFC. We therefore sought to determine statewide referral and treatment patterns of children born with OFC identified through the Florida Birth Defects Registry. METHODS: Using data for 1996 and 1997 and ICD-9 CM codes 749.00 - 749.25, we identified 539 OFC cases. All cases were matched with the evaluation and treatment records of the statewide Children's Medical Services' (CMS) craniofacial centers (CFC) and cleft palate clinics (CPC). The likelihood of CMS contact was examined with respect to demographic and other descriptive data characterizing the OFC cases. RESULTS: 42% (227/539) of OFC cases were evaluated at or known to the CFC or CPC. Children with cleft lip and palate were more likely to have had contact than were those with cleft lip or cleft palate alone. The CFC and CPC programs were most likely to provide evaluation between age 2 months and 3 years. Of 12 counties with occurrences of more than 15 OFC cases, 2 had significantly lower contact rates, suggesting possible problems in accessibility or reporting of services. CONCLUSIONS: Statewide Birth Defect Registry data can be used in collaboration with statewide treatment programs to gain insight into referral patterns and provision of services. Factors influencing access to services and quality of care, though not addressed by this study, could be prospectively incorporated into such a project.

The roles of nature and nurture in the recruitment and retention of primary care physicians in rural areas: a review of the literature.

PURPOSE: A systematic review of factors associated with recruitment and retention of primary care physicians in rural areas. METHOD: Using PubMed and Medline databases, 21 quantitative articles analyzing recruitment and retention of primary care physicians in rural areas from 1990 to 2000 were found. To assess the methodologic strengths of these articles, a formal evaluation was conducted based on study design, study population, response rate, years studied, data source, and statistical methods (total possible score = 60 points). Studies were grouped by whether the factors assessed were related to pre-medical school, medical school, or residency. RESULTS: A total of six studies (score range: 30-52) analyzed pre-medical school factors, 15 (score range: 30-52) considered medical school factors, and six (score range: 20-52) analyzed residency factors related to rural recruitment and retention. Pre-medical school factors such as rural upbringing and specialty preference were most strongly correlated with recruitment of physicians to rural areas. Training factors such as commitment to rural curricula and rotations, particularly during residency, were most strongly correlated with retention in rural areas. CONCLUSIONS: Although important gaps exist, scientific studies available to health educators and policymakers show there are predictable factors that influence recruitment and retention in rural areas. Policies for staffing rural areas with primary care physicians should be aimed at both selecting the right students and giving them during their formal training the curriculum and the experiences that are needed to succeed in primary care in rural settings.