Enabling a Learning Public Health System:Enhanced Surveillance of HIV and Other Sexually Transmitted Infections.

Sexually transmitted infections (STIs) continue to pose a substantial public health challenge in the United States (US). Surveillance, a cornerstone of disease control and prevention, can be strengthened to promote more timely, efficient, and equitable practices by incorporating health information exchange (HIE) and other large-scale health data sources into reporting. New York City patient-level electronic health record data between January 1, 2018 and June 30, 2023 were obtained from Healthix, the largest US public HIE. Healthix data were linked to neighborhood-level information from the American Community Survey. In this casecontrol study, chlamydia, gonorrhea, and HIV-positive cases were compared to controls to estimate the odds of receiving a specific laboratory test or positive result using generalized estimating equations with logit function and robust standard errors. Among 1,519,121 tests performed for chlamydia, 1,574,772 for gonorrhea, and 1,200,560 for HIV, 2%, 0.6% and 0.3% were positive for chlamydia, gonorrhea, and HIV, respectively. Chlamydia and gonorrhea co-occurred in 1,854 cases (7% of chlamydia and 21% of gonorrhea total cases). Testing behavior was often incongruent with geographic and sociodemographic patterns of positive cases. For example, people living in areas with the highest levels of poverty were less likely to test for gonorrhea but almost twice as likely to test positive compared to those in low poverty areas. Regional HIE enabled review of testing and cases using granular and complementary data not typically available given existing reporting practices. Enhanced surveillance spotlights potential incongruencies between testing patterns and STI risk in certain populations, signaling potential under- and over-testing. These and future insights derived from HIE data may be used to continuously inform public health practice and drive further improvements in provision and evaluation of services and programs.

Mining the health disparities and minority health bibliome: A computational scoping review and gap analysis of 200,000+ articles.

Without comprehensive examination of available literature on health disparities and minority health (HDMH), the field is left vulnerable to disproportionately focus on specific populations or conditions, curtailing our ability to fully advance health equity. Using scalable open-source methods, we conducted a computational scoping review of more than 200,000 articles to investigate major populations, conditions, and themes as well as notable gaps. We also compared trends in studied conditions to their relative prevalence using insurance claims (42 million Americans). HDMH publications represent 1% of articles in Medical Literature Analysis and Retrieval System Online (MEDLINE). Most studies are observational in nature, although randomized trial reporting has increased fivefold in the past 20 years. Half of HDMH articles concentrate on only three disease groups (cancer, mental health, and endocrine/metabolic disorders), while hearing, vision, and skin-related conditions are among the least well represented despite substantial prevalence. To support further investigation, we present HDMH Monitor, an interactive dashboard and repository generated from the HDMH bibliome.

Using a Health Information Exchange to Characterize Changes in HIV Viral Load Suppression and Disparities During the COVID-19 Pandemic in New York City.

Background: HIV viral suppression requires sustained engagement in care. The COVID-19 pandemic challenged care accessibility for many people living with HIV (PLWH). We used health information exchange data to evaluate the effect of pandemic-related disruptions in HIV care on viral load suppression (VLS) and to examine racial/ethnic disparities in VLS. Methods: We performed a retrospective observational cohort study of PLWH using data from a regional health information exchange in the New York City region between 1 January 2018 and 31 December 2022. We established 2 cohorts: PLWH who received HIV care in 2020 (cohort A) and PLWH who did not receive HIV care in 2020 (cohort B). We categorized HIV VLS outcomes as suppressed or not suppressed and calculated the prevalence of VLS between 2018 and 2022. We compared proportions using chi-square tests and used unadjusted and adjusted logistic regression to estimate the association among variables, including race/ethnicity, cohort, and VLS. Results: Of 5 301 578 patients, 34 611 met our inclusion criteria for PLWH, 11 653 for cohort A, and 3141 for cohort B. In 2019, cohort B had a lower prevalence of VLS than cohort A (86% vs 89%, P < .001). Between 2019 and 2021, VLS dropped significantly among cohort B (86% to 81%, P < .001) while staying constant in cohort A (89% to 89%, P = .62). By 2022, members of cohort B were less likely than cohort A to be receiving HIV care in New York City (74% vs 88%, P < .001). Within both cohorts, Black and Hispanic patients had lower odds of VLS than White patients. Conclusions: In New York City, VLS remained high among PLWH who continued to receive care in 2020 and dropped among PLWH who did not receive care. VLS was lower among Black and Hispanic patients even after controlling for receipt of care.

A metadata framework for computational phenotypes.

With the burgeoning development of computational phenotypes, it is increasingly difficult to identify the right phenotype for the right tasks. This study uses a mixed-methods approach to develop and evaluate a novel metadata framework for retrieval of and reusing computational phenotypes. Twenty active phenotyping researchers from 2 large research networks, Electronic Medical Records and Genomics and Observational Health Data Sciences and Informatics, were recruited to suggest metadata elements. Once consensus was reached on 39 metadata elements, 47 new researchers were surveyed to evaluate the utility of the metadata framework. The survey consisted of 5-Likert multiple-choice questions and open-ended questions. Two more researchers were asked to use the metadata framework to annotate 8 type-2 diabetes mellitus phenotypes. More than 90% of the survey respondents rated metadata elements regarding phenotype definition and validation methods and metrics positively with a score of 4 or 5. Both researchers completed annotation of each phenotype within 60 min. Our thematic analysis of the narrative feedback indicates that the metadata framework was effective in capturing rich and explicit descriptions and enabling the search for phenotypes, compliance with data standards, and comprehensive validation metrics. Current limitations were its complexity for data collection and the entailed human costs.

What works in medication reconciliation: an on-treatment and site analysis of the MARQUIS2 study.

BACKGROUND: The second Multicenter Medication Reconciliation Quality Improvement Study demonstrated a marked reduction in medication discrepancies per patient. The aim of the current analysis was to determine the association of patient exposure to each system-level intervention and receipt of each patient-level intervention on these results. METHODS: This study was conducted at 17 North American Hospitals, the study period was 18 months per site, and sites typically adopted interventions after 2-5 months of preintervention data collection. We conducted an on-treatment analysis (ie, an evaluation of outcomes based on patient exposure) of system-level interventions, both at the category level and at the individual component level, based on monthly surveys of implementation site leads at each site (response rate 65%). We then conducted a similar analysis of patient-level interventions, as determined by study pharmacist review of documented activities in the medical record. We analysed the association of each intervention on the adjusted number of medication discrepancies per patient in admission and discharge orders, based on a random sample of up to 22 patients per month per site, using mixed-effects Poisson regression with hospital site as a random effect. We then used a generalised linear mixed-effects model (GLMM) decision tree to determine which patient-level interventions explained the most variance in discrepancy rates. RESULTS: Among 4947 patients, patient exposure to seven of the eight system-level component categories was associated with modest but significant reductions in discrepancy rates (adjusted rate ratios (ARR) 0.75-0.97), as were 15 of the 17 individual system-level intervention components, including hiring, reallocating and training personnel to take a best possible medication history (BPMH) and training personnel to perform discharge medication reconciliation and patient counselling. Receipt of five of seven patient-level interventions was independently associated with large reductions in discrepancy rates, including receipt of a BPMH in the emergency department (ED) by a trained clinician (ARR 0.40, 95% CI 0.37 to 0.43), admission medication reconciliation by a trained clinician (ARR 0.57, 95% CI 0.50 to 0.64) and discharge medication reconciliation by a trained clinician (ARR 0.64, 95% CI 0.57 to 0.73). In GLMM decision tree analyses, patients who received both a BPMH in the ED and discharge medication reconciliation by a trained clinician experienced the lowest discrepancy rates (0.08 per medication per patient). CONCLUSION AND RELEVANCE: Patient-level interventions most associated with reductions in discrepancies were receipt of a BPMH of admitted patients in the ED and admission and discharge medication reconciliation by a trained clinician. System-level interventions were associated with modest reduction in discrepancies for the average patient but are likely important to support patient-level interventions and may reach more patients. These findings can be used to help hospitals and health systems prioritise interventions to improve medication safety during care transitions.

Timeliness of Point-of-Care Viral Load Results Improves Human Immunodeficiency Virus Monitoring in Nigeria.

BACKGROUND: Human immunodeficiency virus (HIV) viral load (VL) monitoring is critical for antiretroviral therapy (ART) management. Point-of-care (POC) VL testing has been reported to be feasible and preferred over standard-of-care (SOC) testing in many low- and middle-income country settings where rapid results could improve patient outcomes. METHODS: The timeliness of receipt of VL results was evaluated in an open-label, randomized, controlled trial among patients newly initiating ART. Clinical outcomes with POC VL monitoring using Cepheid Xpert vs SOC VL at Jos University Teaching Hospital and Comprehensive Health Centre Zamko in Nigeria were assessed. We determined time between specimen collection and recording of VL in patient charts, receipt of results, and ART switch for those who met virologic failure criteria. RESULTS: Between April 2018 and October 2019, we screened 696 ART-naive individuals; 273 were randomized to POC and 268 to SOC HIV-1 VL testing. Participants in the POC arm received VL results significantly faster than those in the SOC arm (0.1 median days, interquartile range [IQR], 0.1-0.2 vs 143.1 days, IQR, 56.0-177.1, respectively; P < .0001). Participants in the POC arm with confirmed virologic failure vs those in the SOC arm were switched more rapidly to a second-line regimen (0 median days, IQR, 0-28 vs 66 days, IQR, 63-123, respectively; P = .03). CONCLUSIONS: POC VL testing resulted in significant improvement in the timeliness of VL result receipt by patients and use for effective HIV clinical management. In patients experiencing VL failure, POC monitoring enabled prompt switching to second-line ART regimens. CLINICAL TRIALS REGISTRATION: NCT03533868.

A scoping review of ethics considerations in clinical natural language processing.

Objectives: To review through an ethics lens the state of research in clinical natural language processing (NLP) for the study of bias and fairness, and to identify gaps in research. Methods: We queried PubMed and Google Scholar for articles published between 2015 and 2021 concerning clinical NLP, bias, and fairness. We analyzed articles using a framework that combines the machine learning (ML) development process (ie, design, data, algorithm, and critique) and bioethical concepts of beneficence, nonmaleficence, autonomy, justice, as well as explicability. Our approach further differentiated between biases of clinical text (eg, systemic or personal biases in clinical documentation towards patients) and biases in NLP applications. Results: Out of 1162 articles screened, 22 met criteria for full text review. We categorized articles based on the design (N = 2), data (N = 12), algorithm (N = 14), and critique (N = 17) phases of the ML development process. Discussion: Clinical NLP can be used to study bias in applications reliant on clinical text data as well as explore biases in the healthcare setting. We identify 3 areas of active research that require unique ethical considerations about the potential for clinical NLP to address and/or perpetuate bias: (1) selecting metrics that interrogate bias in models; (2) opportunities and risks of identifying sensitive patient attributes; and (3) best practices in reconciling individual autonomy, leveraging patient data, and inferring and manipulating sensitive information of subgroups. Finally, we address the limitations of current ethical frameworks to fully address concerns of justice. Clinical NLP is a rapidly advancing field, and assessing current approaches against ethical considerations can help the discipline use clinical NLP to explore both healthcare biases and equitable NLP applications.

Characteristics of Disease-Specific and Generic Diagnostic Pitfalls: A Qualitative Study.

Importance: Progress in understanding and preventing diagnostic errors has been modest. New approaches are needed to help clinicians anticipate and prevent such errors. Delineating recurring diagnostic pitfalls holds potential for conceptual and practical ways for improvement. Objectives: To develop the construct and collect examples of "diagnostic pitfalls," defined as clinical situations and scenarios vulnerable to errors that may lead to missed, delayed, or wrong diagnoses. Design, Setting, and Participants: This qualitative study used data from January 1, 2004, to December 31, 2016, from retrospective analysis of diagnosis-related patient safety incident reports, closed malpractice claims, and ambulatory morbidity and mortality conferences, as well as specialty focus groups. Data analyses were conducted between January 1, 2017, and December 31, 2019. Main Outcomes and Measures: From each data source, potential diagnostic error cases were identified, and the following information was extracted: erroneous and correct diagnoses, presenting signs and symptoms, and areas of breakdowns in the diagnostic process (using Diagnosis Error Evaluation and Research and Reliable Diagnosis Challenges taxonomies). From this compilation, examples were collected of disease-specific pitfalls; this list was used to conduct a qualitative analysis of emerging themes to derive a generic taxonomy of diagnostic pitfalls. Results: A total of 836 relevant cases were identified among 4325 patient safety incident reports, 403 closed malpractice claims, 24 ambulatory morbidity and mortality conferences, and 355 focus groups responses. From these, 661 disease-specific diagnostic pitfalls were identified. A qualitative review of these disease-specific pitfalls identified 21 generic diagnostic pitfalls categories, which included mistaking one disease for another disease (eg, aortic dissection is misdiagnosed as acute myocardial infarction), failure to appreciate test result limitations, and atypical disease presentations. Conclusions and Relevance: Recurring types of pitfalls were identified and collected from diagnostic error cases. Clinicians could benefit from knowledge of both disease-specific and generic cross-cutting pitfalls. Study findings can potentially inform educational and quality improvement efforts to anticipate and prevent future errors.

Effects of a refined evidence-based toolkit and mentored implementation on medication reconciliation at 18 hospitals: results of the MARQUIS2 study.

BACKGROUND: The first Multicenter Medication Reconciliation Quality Improvement (QI) Study (MARQUIS1) demonstrated that mentored implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals, but results varied by site. The objective of this study was to determine the effects of a refined toolkit on a larger group of hospitals. METHODS: We conducted a pragmatic quality improvement study (MARQUIS2) at 18 North American hospitals or hospital systems from 2016 to 2018. Incorporating lessons learnt from MARQUIS1, we implemented a refined toolkit, offering 17 system-level and 6 patient-level interventions. One of eight physician mentors coached each site via monthly calls and performed one to two site visits. The primary outcome was number of unintentional medication discrepancies in admission or discharge orders per patient. Time series analysis used multivariable Poisson regression. RESULTS: A total of 4947 patients were sampled, including 1229 patients preimplementation and 3718 patients postimplementation. Both the number of system-level interventions adopted per site and the proportion of patients receiving patient-level interventions increased over time. During the intervention, patients experienced a steady decline in their medication discrepancy rate from 2.85 discrepancies per patient to 0.98 discrepancies per patient. An interrupted time series analysis of the 17 sites with sufficient data for analysis showed the intervention was associated with a 5% relative decrease in discrepancies per month over baseline temporal trends (adjusted incidence rate ratio: 0.95, 95% CI 0.93 to 0.97, p<0.001). Receipt of patient-level interventions was associated with decreased discrepancy rates, and these associations increased over time as sites adopted more system-level interventions. CONCLUSION: A multicentre medication reconciliation QI initiative using mentored implementation of a refined best practices toolkit, including patient-level and system-level interventions, was associated with a substantial decrease in unintentional medication discrepancies over time. Future efforts should focus on sustainability and spread.

Terminations in Primary Care: a Retrospective Observational Study of 16 Primary Care Clinics.

BACKGROUND: The relationship between clinician and patient is the cornerstone of primary care. Breakdown and termination of this relationship are understudied yet important, undesirable outcomes. OBJECTIVE: To better understand the nature and extent of provider and clinic termination of the primary care relationship. DESIGN: Retrospective observational case-control study. SUBJECTS: Adult patients in Eastern Massachusetts who received primary care at hospital- and community-based clinics and health centers participating in a practice-based research network between January 2013 and June 2017. MAIN MEASURES: Formal termination by primary care physician (PCP), reasons for termination, independent predictors of termination based on mixed-effects logistic regression, and documentation of a new PCP after termination. KEY RESULTS: We identified 158,192 patients who received primary care from 182 PCPs across 16 clinics. We found 536 cases of formal termination. Clinics ranged from 4 to 119 terminations per 10,000 patients (intraclass correlation coefficient [ICC]=0.21; 95% CI: 0.18-0.24). Patient age, race/ethnicity, educational attainment, relationship status, employment status, and insurance type were independent predictors of termination (e.g., compared to patients employed full-time, patients unemployed due to disability were more likely to be terminated [adjusted OR:9.26; 95% CI: 6.74-12.74]). The most common cause for termination (38%) was appointment "no-shows" with some PCPs/clinics found to enforce a policy of dismissal following three no-shows. At the time of chart review, 201 patients (38%) had no documentation of a new PCP. Among patients who re-established care within the network, 134 (25%) had a primary care visit within 6 months of termination. CONCLUSIONS: Detailed chart review found that, unlike previous survey-based studies, dismissal was often for missed appointments based on enforcement of no-show policies. Many sociodemographic factors were associated with termination. Variability among clinics highlights the need for further research to better understand circumstances surrounding terminations, with the principal goals of improving patient-provider relationships and providing equitable care.

Exploring Tai Chi Exercise and Mind-Body Breathing in Patients with COPD in a Randomized Controlled Feasibility Trial.

In this pilot feasibility randomized controlled trial, participants with moderate to severe COPD were randomized to a 12-week tai chi or MBB intervention. Participants were assessed at baseline, 12 weeks, and 24 weeks. Feasibility, as assessed by intervention adherence, was the primary outcome. We also estimated preliminary between-group differences in COPD symptoms and health-related quality of life, cognitive-emotional function, and functional status across three timepoints: baseline, 12, and 24 weeks. A total of 92 participants were randomized 2:1 to tai chi (n = 61) or MBB (n = 31). The overall group adherence in the first 12 weeks was 62% in tai chi and 75% in MBB. From baseline to 12 weeks, tai chi demonstrated greater improvements in depressive symptoms (Cohen's d effect size (ES) = -.53; adj mean diff = -2.31 [-5.7, 1.07]), 6-minute walk test distance (ES = .47; adj mean diff = 62.04 [2.85, 121.22]), social support (ES = .36; adj mean diff = .19 [-0.11, 0.49]) and chair stand (ES = .44; adj mean diff = .91 [-0.05, 1.86]). Only improvements in social support were maintained at 24-week follow-up. Tai chi and MBB are feasible for individuals with COPD. Preliminary effects suggest that while our mindful breathing intervention may not be sufficient to impact outcomes, tai chi may result in short-term benefits in mood, social support and functional capacity. More work is needed to better understand mindful breathing for COPD and to examine methods for maintaining improvements from tai chi over time.Supplemental data for this article is available online at https://doi.org/10.1080/15412555.2021.1928037 .

BEAM study (Breathing, Education, Awareness, Movement): a randomised controlled feasibility trial of tai chi exercise in patients with COPD.

BACKGROUND: Despite therapeutic advances, the management of chronic obstructive pulmonary disease (COPD) remains complex. There is growing interest in multidimensional, mind-body exercises to improve both physical and psychosocial aspects of COPD burden. Few US data are available in this population on tai chi (TC) a mind-body exercise incorporating physical activity, breathing and mindful awareness. We explored feasibility and preliminary efficacy of TC in COPD in an US academic medical setting. METHODS: Patients with COPD Global Obstructive Lung Disease (GOLD) stages 2-4 were randomised to a 12-week TC programme or education control. At 12 weeks, those in TC were randomised again to continue in maintenance classes or not to further explore optimal duration. All groups were followed to 24 weeks. Feasibility/safety parameters were analysed descriptively. Preliminary between-group differences were estimated in symptoms (dyspnoea, fatigue), health-related quality-of-life (Chronic Respiratory Questionnaire CRQ), cognitive-emotional measures (mood, COPD self-efficacy) and functional status (6 min walk test, lower body strength, flexibility, physical activity). RESULTS: Ninety-two subjects were randomised (N=61 TC, N=31 education). Mean age was 68±8 years, 66% male, mean forced expiratory volume in 1 s % predicted 57±13, 28% were GOLD stage 3-4. Overall retention was 85%. Nineteen adverse events occurred, most being study-unrelated COPD exacerbations. From baseline to 12 weeks, there were between-group improvements favouring TC, in CRQ-total (Cohen's d effect size (ES)=0.46; adj mean diff (AMD)=0.31), CRQ-emotion (ES=0.54; AMD=0.49), Centre for Epidemiologic Studies Depression (ES=-0.37; AMD=2.39) and Patient-Reported Outcome Measurement Information System (PROMIS)-fatigue (ES=-0.34; AMD=-0.17). From baseline to 24 weeks, there was an improvement favouring TC in CRQ-dyspnoea (ES=0.41; AMD=0.46). Among TC participants, there was a positive effect of maintenance classes on self-efficacy (ES=-0.69; AMD=-0.40), 6 min walk (ES=0.56; AMD=49.26 feet), PROMIS-fatigue (ES=-0.41; AMD=-0.28) and chair stand (0.43; AMD=0.56). CONCLUSION: TC in patients with COPD is feasible and safe. Preliminary analyses support a potential modest role in improving quality-of-life, cognitive-emotional health and function that should be further studied. TRIAL REGISTRATION NUMBER: NCT01551953. IRB REFERENCE: BIDMC 2010P-000412; VA 2540.

Overactive bladder in an integrated delivery system: a longitudinal cohort study.

BACKGROUND: Overactive bladder (OAB) is common and morbid. Medication and diagnosis claims may be specific, but lack sensitivity to identify patients with overactive bladder. We used an "electronic health record (EHR) phenotype" to identify cases and describe treatment choices and anticholinergic burden for OAB. METHODS: We conducted a retrospective cohort study in a large, integrated health delivery system between July 2011 and June 2012 (2-year follow-up). We examined care from primary care and specialty clinics, medication and procedure use, and anticholinergic burden for each patient. RESULTS: There were 7362 patients with an EHR OAB phenotype; 50% of patients were > 65 years old, 74% were female, and 83% were white. The distribution of care included primary care physician (PCP)/specialty co-management (25% of patients); PCP care only (18%); urology only (13%); or some other combination of specialty care (33%). Only 40% of patients were prescribed at least 1 OAB medication during the study. The mean duration of prescribed medication was 1.5 months (95% confidence interval [CI], 1.4 to 1.6 months; range, < 1 month to 24 months). Independent predictors of receipt of an OAB medication included increasing age (odds ratio [OR], 1.4 for every 10 years; 95% CI, 1.4 to 1.5), women (OR, 1.6 compared with men; 95% CI, 1.4 to 1.8), diabetes (OR, 1.3; 95% CI, 1.1 to 1.5), and certain sources of care compared with PCP-only care: PCP/specialty co-management (OR, 1.8; 95% CI, 1.5 to 2.0), urology (OR, 2.2; 95% CI, 1.8 to 2.6), and multiple specialists (OR, 1.4; 95% CI, 1.2 to 1.8). Very few patients received other treatments: biofeedback (< 1%), onabotulinumtoxinA (2%), or sacral nerve stimulation (1%). Patients who received OAB medications had significantly higher anticholinergic burden than patients who did not (anticholinergic total standardized daily dose, 125 versus 46; P < .001). CONCLUSIONS: Although OAB is common and morbid, in a longitudinal study using an EHR OAB phenotype 40% of patients were treated with OAB medication and only briefly.

Professional-Patient Boundaries: a National Survey of Primary Care Physicians' Attitudes and Practices.

BACKGROUND: The essence of humanism in medicine and health care is relationships-caring relationships between clinicians and patients. While raising concerns regarding professional-patient boundaries has positively contributed to our understanding and prevention of potentially harmful boundary violations, there is controversy about which types of relationships, caring acts, and practices are acceptable versus cross boundary lines. OBJECTIVE: To examine primary care physicians' practices and attitudes regarding acts that have been questioned as potentially "inappropriate" or "unethical" crossing of professional-patient boundaries. DESIGN: Surveys conducted via in-person polling or electronic and mailed paper submissions from April 2016 to July 2017. We calculated descriptive statistics and examined associations with practices and attitudes using logistic regression. PARTICIPANTS: Random sample of all US primary care physicians who treat adult patients; convenience sample of attendees at medicine grand rounds presentations. MAIN MEASURES: Outcomes were self-reported practices and attitudes related to giving patients rides home, paying for patients' medication, helping patients find jobs, employing patients, going to dinner with patients, and providing care to personal friends. KEY RESULTS: Among 1563 total respondents, 34% had given a ride home, 34% had paid for medications, 15% helped patients find a job, 7% had employed a patient, 10% had dinner with patients, and 59% provided care to personal friends. A majority disapproved of dinner with a patient (75%) but approved of or were neutral on all other scenarios (61-90%). CONCLUSIONS: The medical profession is quite divided on questions related to drawing lines about appropriate boundaries. Contrary to official and widespread proscriptions against such practices (with exception of dinner dates), many have actually engaged in such practices and the majority found them acceptable.

Randomized Trial of Reducing Ambulatory Malpractice and Safety Risk: Results of the Massachusetts PROMISES Project.

OBJECTIVE: Evaluate application of quality improvement approaches to key ambulatory malpractice risk and safety areas. STUDY SETTING: In total, 25 small-to-medium-sized primary care practices (16 intervention; 9 control) in Massachusetts. STUDY DESIGN: Controlled trial of a 15-month intervention including exposure to a learning network, webinars, face-to-face meetings, and coaching by improvement advisors targeting "3+1" high-risk domains: test result, referral, and medication management plus culture/communication issues evaluated by survey and chart review tools. DATA COLLECTION METHODS: Chart reviews conducted at baseline and postintervention for intervention sites. Staff and patient survey data collected at baseline and postintervention for intervention and control sites. PRINCIPAL FINDINGS: Chart reviews demonstrated significant improvements in documentation of abnormal results, patient notification, documentation of an action or treatment plan, and evidence of a completed plan (all P<0.001). Mean days between laboratory test date and evidence of completed action/treatment plan decreased by 19.4 days (P<0.001). Staff surveys showed modest but nonsignificant improvement for intervention practices relative to controls overall and for the 3 high-risk domains that were the focus of PROMISES. CONCLUSIONS: A consortium of stakeholders, quality improvement tools, coaches, and learning network decreased selected ambulatory safety risks often seen in malpractice claims.

Acute Care Utilization by Patients After Graduation of Their Resident Primary Care Physicians.

BACKGROUND: The disruption in provider continuity caused by medical resident graduation may result in adverse patient outcomes. OBJECTIVE: Our aim was to investigate whether resident graduation was associated with increased acute care utilization by residents' primary care patients. DESIGN AND PARTICIPANTS: This was a retrospective cohort study of patients cared for by junior and senior residents finishing the academic year in 2010, 2011 and 2012. MAIN MEASURES: We compared rates of clinic visits, emergency department (ED) visits, and hospitalizations between transitioning patients whose residents were graduating and non-transitioning patients whose residents were not graduating. KEY RESULTS: Our study population comprised 90 residents, 4018 unique patients, and 5988 resident-patient dyads that transitioned (n = 3136) or did not transition (n = 2852). For transitioning patients, the clinic visit rate per 100 patients in the 4 months before and after graduation was 129 and 102, respectively; for non-transitioning patients, the clinic visit rate was 119 and 94, respectively (difference-in-differences, +2 per 100 patients; p = 0.12). For transitioning patients, the ED visit rate per 100 patients before and after graduation was 29 and 26, respectively; for non-transitioning patients, the ED visit rate was 28 and 25, respectively (difference-in-differences, 0; p = 0.49). For transitioning patients, the hospitalization rate per 100 patients before and after graduation was 14 and 13, respectively; for non-transitioning patients, the hospitalization rate was 15 and 12, respectively (difference-in-differences, -2; p = 0.20). In multivariable modeling there was no increased risk for transitioning patients for clinic visits (adjusted rate ratio [aRR], 1.03; 95 % confidence interval [CI], 0.97 to 1.10), ED visits (aRR, 1.05; 95 % CI, 0.92 to 1.20), or hospitalizations (aRR, 1.04; 95 % CI, 0.83 to 1.31). CONCLUSIONS: Acute care utilization by residents' patients did not increase or decrease after graduation. Acute care utilization was high before and after graduation. Interventions to decrease the need for acute care should be employed throughout the year.

Scale-up of networked HIV treatment in Nigeria: creation of an integrated electronic medical records system.

OBJECTIVES: The implementation of PEPFAR programs in resource-limited settings was accompanied by the need to document patient care on a scale unprecedented in environments where paper-based records were the norm. We describe the development of an electronic medical records system (EMRS) put in place at the beginning of a large HIV/AIDS care and treatment program in Nigeria. METHODS: Databases were created to record laboratory results, medications prescribed and dispensed, and clinical assessments, using a relational database program. A collection of stand-alone files recorded different elements of patient care, linked together by utilities that aggregated data on national standard indicators and assessed patient care for quality improvement, tracked patients requiring follow-up, generated counts of ART regimens dispensed, and provided 'snapshots' of a patient's response to treatment. A secure server was used to store patient files for backup and transfer. RESULTS: By February 2012, when the program transitioned to local in-country management by APIN, the EMRS was used in 33 hospitals across the country, with 4,947,433 adult, pediatric and PMTCT records that had been created and continued to be available for use in patient care. Ongoing trainings for data managers, along with an iterative process of implementing changes to the databases and forms based on user feedback, were needed. As the program scaled up and the volume of laboratory tests increased, results were produced in a digital format, wherever possible, that could be automatically transferred to the EMRS. Many larger clinics began to link some or all of the databases to local area networks, making them available to a larger group of staff members, or providing the ability to enter information simultaneously where needed. CONCLUSIONS: The EMRS improved patient care, enabled efficient reporting to the Government of Nigeria and to U.S. funding agencies, and allowed program managers and staff to conduct quality control audits.

Evaluating ambulatory practice safety: the PROMISES project administrators and practice staff surveys.

BACKGROUND: Ambulatory practices deliver most health care services and contribute to malpractice risk. Yet, policymakers and practitioners often lack information about safety and malpractice risk needed to guide improvement. OBJECTIVE: To assess staff and administrator perceptions of safety and malpractice risk in ambulatory settings. RESEARCH DESIGN: We administered surveys in small-sized to medium-sized primary care practices in Massachusetts as part of a randomized controlled trial to reduce ambulatory malpractice risk. SUBJECTS: Twenty-five office practice managers/administrators and 482 staff, including [physicians, physician assistants, and nurse practitioners (MD/PA/NPs)], nurses, other clinicians, managers, and administrators. MEASURES: Surveys included structured questions about 3 high-risk clinical domains: referral, test result, and medication management, plus communication with patients and among staff. The 30-item administrator survey evaluated the presence of organizational safety structures and processes; the 63-item staff survey queried safety and communication concerns. RESULTS: Twenty-two administrators (88%) and 292 staff (61%) responded. Administrators frequently reported important safety systems and processes were absent. Suboptimal or incomplete implementation of referral and test result management systems related to staff perceptions of their quality (P<0.05). Staff perceptions of suboptimal processes correlated with their concern about practice vulnerability to malpractice suits (P<0.05). Staff was least positive about referral management system safety, talking openly about safety problems, willingness to report mistakes, and feeling rushed. MD/PA/NPs viewed high-risk system reliability more negatively (P<0.0001) and teamwork more positively (P<0.03) than others. CONCLUSIONS: Results show opportunities for improvement in closing informational loops and establishing more reliable systems and environments where staff feels respected and safe speaking up. Initiatives to transform primary care should emphasize improving communication among facilities and practitioners.