Increasing the Capacity of Primary Care Through Enabling Technology.

Primary care is the foundation of effective and high-quality health care. The role of primary care clinicians has expanded to encompass coordination of care across multiple providers and management of more patients with complex conditions. Enabling technology has the potential to expand the capacity for primary care clinicians to provide integrated, accessible care that channels expertise to the patient and brings specialty consultations into the primary care clinic. Furthermore, technology offers opportunities to engage patients in advancing their health through improved communication and enhanced self-management of chronic conditions. This paper describes enabling technologies in four domains (the body, the home, the community, and the primary care clinic) that can support the critical role primary care clinicians play in the health care system. It also identifies challenges to incorporating these technologies into primary care clinics, care processes, and workflow

Pap Test Follow-up Pattern Among American Indian Women in Arizona

Objective: To quantify the loss to follow-up rate after abnormal Pap test results at the Phoenix Indian Medical Center, an Indian Health Service regional facility, and identify barriers to follow-up from the patients’ point of view. Materials and Methods: Patient records were used to identify women who had abnormal Pap tests in 2002 and to document the status of their follow-up care. Women who had no clinical record of follow-up were contacted by telephone to arrange a follow-up appointment and to request participation in a structured qualitative interview to identify barriers to follow-up at the individual, family, community, and health care system levels. Structured qualitative interviews were conducted with 15 women. Results: Of the 930 women with abnormal Pap test results in 2002, 11.1% received follow-up care at PIMC in accordance with the recommended time frame stipulated inclinical protocols; 74.6% received follow-up care at PIMC, but not in accordance with protocols; 2.6% were followed-up at another facility, 1% had moved out of the area, 3.5% were never treated, and we were unable to contact 6.6%. Most of the barriers to follow-up were related to communicating the need for follow-up and providing access to care within a time frame appropriate for clinical care. Conclusion: While these findings place an important additional responsibility and burden on the health care system serving American Indian women, our research outreach efforts suggest that given the availability of appropriate resources, these barriers can be overcome

Enhanced Safety Surveillance of Influenza Vaccines in General Practice, Winter 2015-16: Feasibility Study

BACKGROUND: The European Medicines Agency (EMA) requires vaccine manufacturers to conduct enhanced real-time surveillance of seasonal influenza vaccination. The EMA has specified a list of adverse events of interest to be monitored. The EMA sets out 3 different ways to conduct such surveillance: (1) active surveillance, (2) enhanced passive surveillance, or (3) electronic health record data mining (EHR-DM). English general practice (GP) is a suitable setting to implement enhanced passive surveillance and EHR-DM. OBJECTIVE: This study aimed to test the feasibility of conducting enhanced passive surveillance in GP using the yellow card scheme (adverse events of interest reporting cards) to determine if it has any advantages over EHR-DM alone. METHODS: A total of 9 GPs in England participated, of which 3 tested the feasibility of enhanced passive surveillance and the other 6 EHR-DM alone. The 3 that tested EPS provided patients with yellow (adverse events) cards for patients to report any adverse events. Data were extracted from all 9 GPs' EHRs between weeks 35 and 49 (08/24/2015 to 12/06/2015), the main period of influenza vaccination. We conducted weekly analysis and end-of-study analyses. RESULTS: Our GPs were largely distributed across England with a registered population of 81,040. In the week 49 report, 15,863/81,040 people (19.57% of the registered practice population) were vaccinated. In the EPS practices, staff managed to hand out the cards to 61.25% (4150/6776) of the vaccinees, and of these cards, 1.98% (82/4150) were returned to the GP offices. Adverse events of interests were reported by 113 /7223 people (1.56%) in the enhanced passive surveillance practices, compared with 322/8640 people (3.73%) in the EHR-DM practices. CONCLUSIONS: Overall, we demonstrated that GPs EHR-DM was an appropriate method of enhanced surveillance. However, the use of yellow cards, in enhanced passive surveillance practices, did not enhance the collection of adverse events of interests as demonstrated in this study. Their return rate was poor, data entry from them was not straightforward, and there were issues with data reconciliation. We concluded that customized cards prespecifying the EMA's adverse events of interests, combined with EHR-DM, were needed to maximize data collection. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1136/bmjopen-2016-015469

A Novel Method for Assessing Medication-Related Adverse Outcomes in a Community Hospital

The use of medications for hospitalized patients is universal, and unfortunately medication-related adverse outcomes are common. The accurate assessment of medication-related harm in hospitalized patients is foundational to the development of an effective hospital medication safety program. Every hospital has its own unique fingerprint of harm, accurate determination of the nature of medication-related harm specific to each hospital is necessary to facilitate prevention of that harm with specific and effective interventions. This project has provided a community hospital with its first systematic methodology for assessing medication-related harm. The methodology is adapted from that used in a recent national-level study. Several commonly accepted methods of assessment of medication-related adverse events are in use, but no single method is capable of giving a complete picture of harm at the hospital level. Using a method nearly identical to one employed in large national studies the author examined rates and types of medication-related adverse outcomes in a California community hospital. The hospital had about one-third the national rate of adverse events. An incidental finding was a 4-year pattern of increasing incidence of adverse outcomes followed by 2 years of declining incidence of adverse outcomes. The information gained from the novel assessment method provided a clearer picture of patient harm, a basis for a more effective medication safety plan, and promoted interprofessional collaboration

Post-Election Audits: Restoring Trust in Elections

With the intention of assisting legislators, election officials and the public to make sense of recent literature on post-election audits and convert it into realistic audit practices, the Brennan Center and the Samuelson Law, Technology and Public Policy Clinic at Boalt Hall School of Law (University of California Berkeley) convened a blue ribbon panel (the "Audit Panel") of statisticians, voting experts, computer scientists and several of the nation's leading election officials. Following a review of the literature and extensive consultation with the Audit Panel, the Brennan Center and the Samuelson Clinic make several practical recommendations for improving post-election audits, regardless of the audit method that a jurisdiction ultimately decides to adopt

Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project

During the COVID-19 pandemic, large-scale diagnostic testing and contact tracing have proven insufficient to promptly monitor the spread of infections.AimTo develop and retrospectively evaluate a system identifying aberrations in the use of selected healthcare services to timely detect COVID-19 outbreaks in small areas. Methods: Data were retrieved from the healthcare utilisation (HCU) databases of the Lombardy Region, Italy. We identified eight services suggesting a respiratory infection (syndromic proxies). Count time series reporting the weekly occurrence of each proxy from 2015 to 2020 were generated considering small administrative areas (i.e. census units of Cremona and Mantua provinces). The ability to uncover aberrations during 2020 was tested for two algorithms: the improved Farrington algorithm and the generalised likelihood ratio-based procedure for negative binomial counts. To evaluate these algorithms' performance in detecting outbreaks earlier than the standard surveillance, confirmed outbreaks, defined according to the weekly number of confirmed COVID-19 cases, were used as reference. Performances were assessed separately for the first and second semester of the year. Proxies positively impacting performance were identified. Results: We estimated that 70% of outbreaks could be detected early using the proposed approach, with a corresponding false positive rate of ca 20%. Performance did not substantially differ either between algorithms or semesters. The best proxies included emergency calls for respiratory or infectious disease causes and emergency room visits. Conclusion: Implementing HCU-based monitoring systems in small areas deserves further investigations as it could facilitate the containment of COVID-19 and other unknown infectious diseases in the future