Implementation of a telemedicine geriatric co-evaluation in the emergency department: a prospective pilot study.

  INTRODUCTION: Complex drug management is a common challenge in the treatment of geriatric patients. Pandemic scenarios, such as the current one (COVID-19), call for a reduction of face-to-face meetings, especially for elderly patients. Therefore, the aim of the present study was to compare the innovative concept of applying telemedical assessment to geriatric patients in the emergency department (ED) with ED standard treatment. The therapeutic recommendations regarding drug management from the two assessments were compared. A special focus was the use of potentially inadequate drugs (PIMs) for geriatric patients according to the “Fit for the Aged” (FORTA) classification. METHODS: 50 patients (40% female) aged ≥70 years and assessed with an Identification of Seniors at Risk Score (ISAR score) of ≥2 admitted to the ED were prospectively enrolled in this study between November 2017 and February 2018. In addition to the standard treatment in the ED, co-evaluation via video transmission was independently carried out by a board-certified geriatrician. Drug recommendations by ED physicians (A) and the geriatrician (B) were compared. RESULTS: There was a significantly higher frequency of recommendations regarding changes to preexisting medication (p <0.001, n = 50) via geriatric telemedicine in comparison with standard ED treatment. The geriatrician intervened significantly more often than the ED physicians: discontinuation of a drug, p <0.001; start of a new drug, p = 0.004; dose change of a drug, p = 0.001; n = 50). Based on the additional therapy recommendations of the geriatrician, the amount of medication taken by the patient was significantly reduced compared with standard ED treatment (ED assessment t(49) = 0.622 vs geriatrician’s assessment t(49) = 4.165; p <0.001; n = 50). Additionally, the number of PIMs was significantly reduced compared with standard medical treatment (p <0.001). The geriatrician changed 53.9% of the drugs (35/65) whereas the ED physicians changed only 12.3% (8/65). Recommendations for immediate drug therapy, however, were made more frequently by ED physicians (p <0.039, n = 50). DISCUSSION: An early assessment of elderly emergency patients by a geriatrician had a significant impact on the number of drug interventions in the ED. The number of PIMs could be significantly reduced. Whether this also has a positive effect on the further inpatient course needs to be investigated in further prospective studies. The study was retrospectively registered at ClinicalTrials.gov (NCT04148027).  .

Meaningful patient and public involvement in digital health innovation, implementation and evaluation: A systematic review.

INTRODUCTION: The importance of meaningfully involving patients and the public in digital health innovation is widely acknowledged, but often poorly understood. This review, therefore, sought to explore how patients and the public are involved in digital health innovation and to identify factors that support and inhibit meaningful patient and public involvement (PPI) in digital health innovation, implementation and evaluation. METHODS: Searches were undertaken from 2010 to July 2020 in the electronic databases MEDLINE, EMBASE, PsycINFO, CINAHL, Scopus and ACM Digital Library. Grey literature searches were also undertaken using the Patient Experience Library database and Google Scholar. RESULTS: Of the 10,540 articles identified, 433 were included. The majority of included articles were published in the United States, United Kingdom, Canada and Australia, with representation from 42 countries highlighting the international relevance of PPI in digital health. 112 topic areas where PPI had reportedly taken place were identified. Areas most often described included cancer (n = 50), mental health (n = 43), diabetes (n = 26) and long-term conditions (n = 19). Interestingly, over 133 terms were used to describe PPI; few were explicitly defined. Patients were often most involved in the final, passive stages of an innovation journey, for example, usability testing, where the ability to proactively influence change was severely limited. Common barriers to achieving meaningful PPI included data privacy and security concerns, not involving patients early enough and lack of trust. Suggested enablers were often designed to counteract such challenges. CONCLUSIONS: PPI is largely viewed as valuable and essential in digital health innovation, but rarely practised. Several barriers exist for both innovators and patients, which currently limits the quality, frequency and duration of PPI in digital health innovation, although improvements have been made in the past decade. Some reported barriers and enablers such as the importance of data privacy and security appear to be unique to PPI in digital innovation. Greater efforts should be made to support innovators and patients to become meaningfully involved in digital health innovations from the outset, given its reported benefits and impacts. Stakeholder consensus on the principles that underpin meaningful PPI in digital health innovation would be helpful in providing evidence-based guidance on how to achieve this. PATIENT OR PUBLIC CONTRIBUTION: This review has received extensive patient and public contributions with a representative from the Patient Experience Library involved throughout the review's conception, from design (including suggested revisions to the search strategy) through to article production and dissemination. Other areas of patient and public contributor involvement include contributing to the inductive thematic analysis process, refining the thematic framework and finalizing theme wording, helping to ensure relevance, value and meaning from a patient perspective. Findings from this review have also been presented to a variety of stakeholders including patients, patient advocates and clinicians through a series of focus groups and webinars. Given their extensive involvement, the representative from the Patient Experience Library is rightly included as an author of this review.

Technical Advisory Group on Tuberculosis for the WHO European Region: report of the fourteenth meeting: 19–21 May 2020, virtual meeting hosted out of Copenhagen, Denmark

The fourteenth meeting of the European Technical Advisory Group on Tuberculosis Control (TAG-TB) was held on 19–21 May 2020. Due to the COVID-19 pandemic, the meeting was held virtually, allowing for all participants to participate remotely. The objectives of the meeting were to (i) advise on prioritized actions to respond to TB, DR-TB and TB/HIV co-infection during the COVID-19 pandemic and beyond; (ii) review the progress made in implementing the recommendations of the 13th meeting of the TAG-TB; (iii) review the final report of the implementation of the Tuberculosis Action Plan for the WHO European Region 2016–2020, the proposal for the extension of the plan, and the renewed Regional Monitoring and Evaluation Framework (MAF); and (iv) advise on the new interventions, which WHO/Europe shall embark on and/or intensify its work to contribute to achieving a highest impact at population level and end tuberculosis in the Region.

How Myanmar Is Working to Maintain Essential Services for People Living With HIV and Key Populations During the Covid-19 Pandemic.

BACKGROUND: Maintaining essential HIV services has being a Global challenge during the COVID-19 crises. Myanmar has 54 million inhabitants. Neighbor of China, Thailand, India and Bangladesh it was impacted by COVID-19, but came up with a comprehensive and effective response, following WHO recommendations. The HIV Prevalence is 0.58% and it is concentrated among key population. A HIV Contingency Plan was developed to face this challenge. METHODOLOGY: The programme-based cross-sectional descriptive study with analysis of routinely collected data from MoHS data system, between 2019 and 2020 was conducted, comparing first six months of 2019 and 2020. RESULTS: HIV outreach activities and HIV testing were slightly affected after detection of first COVID-19 case, till mid May 2020. After that, outreach activities resumed. Introduction of HIV self-testing was initiated. 72% of more than 21,000 PWID on MMT were receiving take home dose up to 14 days and 60% of ART patients were receiving 6 months ARV dispensing. CONCLUSION: Essential HIV services were maintained.

Successfully Implementing Digital Health to Ensure Future Global Health Security During Pandemics: A Consensus Statement.

Importance: COVID-19 has highlighted widespread chronic underinvestment in digital health that hampered public health responses to the pandemic. Recognizing this, the Riyadh Declaration on Digital Health, formulated by an international interdisciplinary team of medical, academic, and industry experts at the Riyadh Global Digital Health Summit in August 2020, provided a set of digital health recommendations for the global health community to address the challenges of current and future pandemics. However, guidance is needed on how to implement these recommendations in practice. Objective: To develop guidance for stakeholders on how best to deploy digital health and data and support public health in an integrated manner to overcome the COVID-19 pandemic and future pandemics. Evidence Review: Themes were determined by first reviewing the literature and Riyadh Global Digital Health Summit conference proceedings, with experts independently contributing ideas. Then, 2 rounds of review were conducted until all experts agreed on the themes and main issues arising using a nominal group technique to reach consensus. Prioritization was based on how useful the consensus recommendation might be to a policy maker. Findings: A diverse stakeholder group of 13 leaders in the fields of public health, digital health, and health care were engaged to reach a consensus on how to implement digital health recommendations to address the challenges of current and future pandemics. Participants reached a consensus on high-priority issues identified within 5 themes: team, transparency and trust, technology, techquity (the strategic development and deployment of technology in health care and health to achieve health equity), and transformation. Each theme contains concrete points of consensus to guide the local, national, and international adoption of digital health to address challenges of current and future pandemics. Conclusions and Relevance: The consensus points described for these themes provide a roadmap for the implementation of digital health policy by all stakeholders, including governments. Implementation of these recommendations could have a significant impact by reducing fatalities and uniting countries on current and future battles against pandemics.

Utilization of lean project management principles and health informatics to reduce operating room delays in a vascular surgery practice.

OBJECTIVES: Perioperative inefficiency can increase cost. We describe a process improvement initiative that addressed preoperative delays on an academic vascular surgery service. METHODS: First case vascular surgeries from July 2019-January 2020 were retrospectively reviewed for delays, defined as late arrival to the operating room (OR). A stakeholder group spearheaded by a surgeon-informaticist analyzed this process and implemented a novel electronic medical records (EMR) preoperative tool with improved preoperative workflow and role delegation; results were reviewed for 3 months after implementation. RESULTS: 57% of cases had first case on-time starts with average delay of 19 min. Inappropriate preoperative orders were identified as a dominant delay source (average delay = 38 min). Three months post-implementation, 53% of first cases had on-time starts with average delay of 11 min (P < 0.05). No delays were due to missing orders. CONCLUSIONS: Inconsistent preoperative workflows led to inappropriate orders and delays, increasing cost and decreasing quality. A novel EMR tool subsequently reduced delays with projected savings of $1,200/case. Workflow standardization utilizing informatics can increase efficiency, raising the value of surgical care.

Telemedicine Use in Orthopaedic Surgery Varies by Race, Ethnicity, Primary Language, and Insurance Status.

BACKGROUND: Healthcare disparities are well documented across multiple subspecialties in orthopaedics. The widespread implementation of telemedicine risks worsening these disparities if not carefully executed, despite original assumptions that telemedicine improves overall access to care. Telemedicine also poses unique challenges such as potential language or technological barriers that may alter previously described patterns in orthopaedic disparities. QUESTIONS/PURPOSES: Are the proportions of patients who use telemedicine across orthopaedic services different among (1) racial and ethnic minorities, (2) non-English speakers, and (3) patients insured through Medicaid during a 10-week period after the implementation of telemedicine in our healthcare system compared with in-person visits during a similar time period in 2019? METHODS: This was a retrospective comparative study using electronic medical record data to compare new patients establishing orthopaedic care via outpatient telemedicine at two academic urban medical centers between March 2020 and May 2020 with new orthopaedic patients during the same 10-week period in 2019. A total of 11,056 patients were included for analysis, with 1760 in the virtual group and 9296 in the control group. Unadjusted analyses demonstrated patients in the virtual group were younger (median age 57 years versus 59 years; p < 0.001), but there were no differences with regard to gender (56% female versus 56% female; p = 0.66). We used self-reported race or ethnicity as our primary independent variable, with primary language and insurance status considered secondarily. Unadjusted and multivariable adjusted analyses were performed for our primary and secondary predictors using logistic regression. We also assessed interactions between race or ethnicity, primary language, and insurance type. RESULTS: After adjusting for age, gender, subspecialty, insurance, and median household income, we found that patients who were Hispanic (odds ratio 0.59 [95% confidence interval 0.39 to 0.91]; p = 0.02) or Asian were less likely (OR 0.73 [95% CI 0.53 to 0.99]; p = 0.04) to be seen through telemedicine than were patients who were white. After controlling for confounding variables, we also found that speakers of languages other than English or Spanish were less likely to have a telemedicine visit than were people whose primary language was English (OR 0.34 [95% CI 0.18 to 0.65]; p = 0.001), and that patients insured through Medicaid were less likely to be seen via telemedicine than were patients who were privately insured (OR 0.83 [95% CI 0.69 to 0.98]; p = 0.03). CONCLUSION: Despite initial promises that telemedicine would help to bridge gaps in healthcare, our results demonstrate disparities in orthopaedic telemedicine use based on race or ethnicity, language, and insurance type. The telemedicine group was slightly younger, which we do not believe undermines the findings. As healthcare moves toward increased telemedicine use, we suggest several approaches to ensure that patients of certain racial, ethnic, or language groups do not experience disparate barriers to care. These might include individual patient- or provider-level approaches like expanded telemedicine schedules to accommodate weekends and evenings, institutional investment in culturally conscious outreach materials such as advertisements on community transport systems, or government-level provisions such as reimbursement for telephone-only encounters. LEVEL OF EVIDENCE: Level III, therapeutic study.

Surge Planning and Implementation: A Required Competency for Today's Nurse Leaders.

The ability to respond effectively and efficiently during times of crisis, including a pandemic, has emerged as a competency for nurse leaders. This article describes one institution's experience using the American Organization of Nurse Leaders Competencies for Nurse Executives in operationalizing the concept of surge capacity.

Illinois Unidos: A Community Demands Equity, Justice, and Inclusion.

At the onset of the COVID-19 pandemic, neither government officials nor members of the news media fully grasped what was happening in the Latino community. Underreporting of COVID-19 cases led to a systematic neglect of the Latino population and resulted in disproportionately high rates of infection, hospitalization, and death. Illinois Unidos was formed to engage in community mobilization, health communication, advocacy, and policy work in response to inequalities exacerbated by COVID-19 in Latino communities in Illinois. (Am J Public Health. 2021;111(S3):S204-S207. https://doi.org/10.2105/AJPH.2021.306407).

Analysis of the Effects of COVID-19 Mask Mandates on Hospital Resource Consumption and Mortality at the County Level.

OBJECTIVES: Coronavirus disease 2019 (COVID-19) threatens vulnerable patient populations, resulting in immense pressures at the local, regional, national, and international levels to contain the virus. Laboratory-based studies demonstrate that masks may offer benefit in reducing the spread of droplet-based illnesses, but few data are available to assess mask effects via executive order on a population basis. We assess the effects of a county-wide mask order on per-population mortality, intensive care unit (ICU) utilization, and ventilator utilization in Bexar County, Texas. METHODS: We used publicly reported county-level data to perform a mixed-methods before-and-after analysis along with other sources of public data for analyses of covariance. We used a least-squares regression analysis to adjust for confounders. A Texas state-level mask order was issued on July 3, 2020, followed by a Bexar County-level order on July 15, 2020. We defined the control period as June 2 to July 2 and the postmask order period as July 8, 2020-August 12, 2020, with a 5-day gap to account for the median incubation period for cases; longer periods of 7 and 10 days were used for hospitalization and ICU admission/death, respectively. Data are reported on a per-100,000 population basis using respective US Census Bureau-reported populations. RESULTS: From June 2, 2020 through August 12, 2020, there were 40,771 reported cases of COVID-19 within Bexar County, with 470 total deaths. The average number of new cases per day within the county was 565.4 (95% confidence interval [CI] 394.6-736.2). The average number of positive hospitalized patients was 754.1 (95% CI 657.2-851.0), in the ICU was 273.1 (95% CI 238.2-308.0), and on a ventilator was 170.5 (95% CI 146.4-194.6). The average deaths per day was 6.5 (95% CI 4.4-8.6). All of the measured outcomes were higher on average in the postmask period as were covariables included in the adjusted model. When adjusting for traffic activity, total statewide caseload, public health complaints, and mean temperature, the daily caseload, hospital bed occupancy, ICU bed occupancy, ventilator occupancy, and daily mortality remained higher in the postmask period. CONCLUSIONS: There was no reduction in per-population daily mortality, hospital bed, ICU bed, or ventilator occupancy of COVID-19-positive patients attributable to the implementation of a mask-wearing mandate.

Changes in COVID-19 measures in the workplace: 8-month follow-up in a cohort study of full-time employees in Japan.

OBJECTIVES: It is unclear how many workplace COVID-19 preventive measures were maintained during repeated outbreaks. The aim of this study was to investigate a longitudinal change of implementation of workplace preventive measures responding to COVID-19 in Japan. METHODS: An online longitudinal study was conducted using a cohort of full-time employees in Japan, starting in March 2020 (T1), with follow-up surveys in May (T2), August (T3), and November (T4) 2020. A repeated measures analysis of variance was performed to compare the difference among the four surveys in the mean number of 23 predetermined items of the measures implemented. RESULTS: The final sample comprised 800 employees. The mean number of the implemented measures increased from T1 to T2, but did not change from T2 to T3, then decreased from T3 to T4. The number of workplace preventive measures significantly increased from T1 to T2 for 21 items (P < .001), and significantly decreased from T3 to T4 for 14 items (P < .001 to P = .005). CONCLUSIONS: While the preventive measures responding to COVID-19 in the workplace were well-implemented during the earlier phase of the outbreak, they seem to have been relaxed after a huge outbreak (T3 to T4: August to November 2020). Workplaces should be encouraged to continue the preventive measures over repeated outbreaks.

Provider and administrator-level perspectives on strategies to reduce fear and improve patient trust in the emergency department in times of heightened immigration enforcement.

STUDY OBJECTIVES: Heightened immigration enforcement may induce fear in undocumented patients when coming to the Emergency Department (ED) for care. Limited literature examining health system policies to reduce immigrant fear exists. In this multi-site qualitative study, we sought to assess provider and system-level policies on caring for undocumented patients in three California EDs. METHODS: We recruited 41 ED providers and administrators from three California EDs (in San Francisco, Oakland, and Sylmar) with large immigrant populations. Participants were recruited using a trusted gatekeeper and snowball sampling. We conducted semi-structured interviews and analyzed the transcripts using constructivist grounded theory. RESULTS: We interviewed 10 physicians, 11 nurses, 9 social workers, and 11 administrators, and identified 7 themes. Providers described existing policies and recent policy changes that facilitate access to care for undocumented patients. Providers reported that current training and communication around policies is limited, there are variations between who asks about and documents status, and there remains uncertainty around policy details, laws, and jurisdiction of staff. Providers also stated they are taking an active role in building safety and trust and see their role as supporting undocumented patients. CONCLUSIONS: This study introduces ED-level health system perspectives and recommendations for caring for undocumented patients. There is a need for active, multi-disciplinary ED policy training, clear policy details including the extent of providers' roles, protocols on the screening and documentation of status, and continual reassessment of our health systems to reduce fear and build safety and trust with our undocumented communities.

Modelling the evolution of the coronavirus disease (COVID-19) in Saudi Arabia.

INTRODUCTION: The ongoing COVID-19 pandemic has claimed hundreds of thousands of lives around the world. Health planners are seeking ways to forecast the evolution of the pandemic. In this study, a mathematical model was proposed for Saudi Arabia, the country with the highest reported number of COVID-19 cases in the Arab world. METHODOLOGY: The proposed model was adapted from the model used for the Middle East respiratory syndrome outbreak in South Korea. Using time-dependent parameters, the model incorporated the effects of both population-wide self-protective measures and government actions. Data before and after the government imposed control policies on 3 March 2020 were used to validate the model. Predictions for the disease's progression were provided together with the evaluation of the effectiveness of the mitigation measures implemented by the government and self-protective measures taken by the population. RESULTS: The model predicted that, if the government had continued to implement its strong control measures, then the scale of the pandemic would have decreased by 99% by the end of June 2020. Under the current relaxed policies, the model predicted that the scale of the pandemic will have decreased by 99% by 10 August 2020. The error between the model's predictions and actual data was less than 6.5%. CONCLUSIONS: Although the proposed model did not capture all of the effects of human behaviors and government actions, it was validated as a result of its time-dependent parameters. The model's accuracy indicates that it can be used by public health policymakers.

Practice and exploration of infection prevention and control measures based on risk management of surgical patients during the epidemic of corona virus disease 2019 (COVID-19).

BACKGROUND: An outbreak of corona virus disease 2019 (COVID-19) in Wuhan, China has spread quickly across the world, the World Health Organization (WHO) has declared this a pandemic. COVID-19 can be transmitted from human to human and cause nosocomial infection that has brought great challenges to infection control in medical institutions. Due to the professional characteristics, the research hospital still received a large number of trauma emergency tasks during the outbreak. It is urgent to establish a graded prevention and control guidance of surgery. METHODS: Review the implementation of surgical grading control measures in this hospital during the epidemic of COVID-19. RESULTS: The surgical prevention measures based on patients with different risks included prescreening and preoperative risk assessment, preparation of operating room, medical staff protection and environmental disinfection measures, etc. From January 20 to March 5, 2020, a total of 4,720 operations had been performed in this hospital, of which 1,565 were emergency operations and 22 for medium-risk and high-risk patients who may have the 2019 severe acute respiratory syndrome coronavirus 2 infection. And there is no medical staff exposed during the implementation of protective measures. CONCLUSIONS: Through the risk assessment of surgical patients and adopting surgical grading control measures, the risk of severe acute respiratory syndrome coronavirus 2 spread during the surgical process can be reduced greatly.