Availability Of Healthcare Resources Research Articles

Accessibility to SARS-CoV-2 swab test during the Covid-19 pandemic: Did age make the difference?

Although COVID-19 affects older people more severely, health policies during the first wave of the pandemic often prioritized younger individuals. We investigated whether age had influenced the access to a diagnostic test for SARS-CoV-2 infection and whether clinical complexity and healthcare resources availability could have impacted such differences.This work included 126,741 Italian participants in the EPICOVID19 web-based survey, who reported having had contacts with known/suspected COVID-19 cases (epidemiological criterion) and/or COVID-19-like signs/symptoms (clinical criterion) from February to June 2020. Data on sociodemographic, medical history and access to SARS-CoV-2 nasopharyngeal swab (NPS) were collected. Logistic regressions estimated the probability of accessing NPS as a function of age and the possible modifying effect of chronic diseases’ number and residential areas in such association.A total of 6136 (4.8%) participants had undergone an NPS. Older participants had lower NPS frequencies than the younger ones when reporting epidemiological (14.9% vs. 8.8%) or both epidemiological and clinical criteria (17.5% vs. 13.7%). After adjustment for potential confounders, including epidemiological and clinical criteria, the chance of NPS access decreased by 29% (OR=0.71, 95%CI:0.63–0.79) in older vs. younger individuals. Such disparity was accentuated in areas with greater healthcare resources.In conclusion, in the first wave of the pandemic, age may have affected the access to COVID-19 diagnostic testing, disadvantaging older people.

System-level factors shaping the implementation of “hub and spoke” systems to expand MOUD in rural areas

Background: Hub and spoke systems (HSS) are increasingly promoted as a systems-level intervention to expand access to medication for opioid use disorders (MOUD), particularly in rural areas with limited treatment options. The HSS model consists of sub-systems in which “hubs” deliver specialized expertise to a regional network of office-based opioid treatment (OBOT) providers in “spokes,” who together create a continuum of acute and chronic care. Yet, little is known about system-level factors (e.g., system structure, financing) that influence HSS implementation and sustainability in rural areas. Methods: For this case study, we conducted semi-structured interviews with substance use disorder treatment providers (N = 26) and system-level stakeholders (N = 16) in five rural HSS sub-systems throughout one state. We undertook iterative textual analysis of interview transcripts, identifying and coding themes related to key implementation constructs associated with the Exploration, Preparation, Implementation and Sustainability (EPIS) framework. Results: California policy-makers adopted HSS to expand rural access to opioid treatment programs (OTPs, i.e., providers of methadone and other medications for opioid use disorder). However, stakeholders questioned the model’s fit for rural regions featuring few established OTPs that could function as hubs and critiqued its treatment-focused approach, felt to sideline harm reduction service providers. Contracts to serve rural regions were awarded entirely to for-profit methadone providers, contributing to stigma and distrust among many buprenorphine providers whose organizations were later recruited as spokes. While hubs offered financial resources enabling some spokes to expand MOUD, the needs of spokes varied considerably. Relationships between hubs and spokes to facilitate the care continuum under HSS were restricted by limited behavioral health resources and the large distances characterizing rural California. Conclusions: This case study reveals how rural contextual factors such as geography and behavioral healthcare resource availability can dramatically influence differential HSS implementation.

Ontology-Driven Multicriteria Decision Support for Victim Evacuation

In light of the complexity of unfolding disasters, the diversity of rapidly evolving events, the enormous amount of generated information, and the huge pool of casualties, emergency responders (ERs) may be overwhelmed and in consequence poor decisions may be made. In fact, the possibility of transporting the wounded victims to one of several hospitals and the dynamic changes in healthcare resource availability make the decision process more complex. To tackle this problem, we propose a multicriteria decision support service, based on the Analytic Hierarchy Process (AHP) method, that aims to avoid overcrowding and outpacing the capacity of a hospital to effectively provide the best care to victims by finding out the most appropriate hospital that meets the victims’ needs. The proposed approach searches for the most appropriate healthcare institution that can effectively deal with the victims’ needs by considering the availability of the needed resources in the hospital, the victim’s wait time to receive the healthcare, and the transfer time that represents the hospital proximity to the disaster site. The evaluation and validation results showed that the assignment of hospitals was done successfully considering the needs of each victim and without overwhelming any single hospital.

Identifying areas of potential critical healthcare shortages: A case study of spatial accessibility to ICU beds during the COVID-19 pandemic in Florida

Healthcare resource availability is potentially associated with COVID-19 mortality, and the potentially uneven geographical distribution of resources is a looming concern in the global pandemic. Given that access to healthcare resources is important to overall population health, assessing COVID-19 patients' access to healthcare resources is needed. This paper aims to examine the temporal variations in the spatial accessibility of the U.S. COVID-19 patients to medical facilities, identify areas that are likely to be overwhelmed by the COVID-19 pandemic, and explore associations of low access areas with their socioeconomic and demographic characteristics. We use a three-step floating catchment area method, spatial statistics, and logistic regression to achieve the goals. Findings of this research in the State of Florida revealed that North Florida, rural areas, and zip codes with more Latino or Hispanic populations are more likely to have lower access than other regions during the COVID-19 pandemic. Our approach can help policymakers identify potentially possible low access areas and establish appropriate policy intervention paying attention to those areas during a pandemic.

The impact of the coronavirus disease 2019 pandemic on the diagnosis and treatment of cancer in Northern Portugal.

The coronavirus disease 2019 (COVID-19) pandemic has affected the availability of healthcare resources, and adjustments to cancer care have been necessary considering the risk of morbidity by COVID-19 and of cancer progression. This study aims to quantify the impact of the COVID-19 pandemic on the care of patients with cancer by comparing a period of 4 months after the outbreak began (2 March 2020) with an equal period from 2019. Cancer cases of the esophagus, stomach, colon and rectum, pancreas, lung, skin-melanoma, breast, cervix, prostate, non-Hodgkin lymphoma, and leukemia from the Portuguese Oncology Institute of Porto, and diagnosed between 2 March and 1 July 2019 (before COVID-19) and 2020 (after COVID-19) were identified. Those with the first treatment outside the Portuguese Oncology Institute of Porto were excluded. Sociodemographic, clinical and treatment characteristics were obtained from the cancer registry database and clinical files. The absolute number of new cancer cases decreased nearly 40% after the COVID-19 pandemic (from 1430 to 866). The largest decreases were observed for cervical (-74.3%) and prostate (-71.7%) cancers. Cases were more often diagnosed at more advanced stages in 2020 (P = 0.001), and the proportion of patients not starting any treatment until 1 July was just under 20% in 2019 and nearly 40% in 2020. The median times from symptoms onset, first medical exam and first appointment to diagnosis, and from diagnosis to first appointment, multidisciplinary tumor board meeting and first treatment were shorter after COVID-19. There was a notable overall decrease in cancer diagnoses after COVID-19, with changes in the characteristics of incident cases.

Provider availability, disease burdens, and opioid prescriptions

We investigate the impact of healthcare resource availability on opioid prescribing rates. Utilizing healthcare provider shortage area (HPSA) scores, we show that fewer healthcare resources have higher opioid prescribing rates. However, more doctors per capita are associated with significantly higher opioid prescribing rates. This suggests that patients “doctor shop”, finding providers willing to prescribe opioids. It also suggests that part of the rural opioid epidemic is a function of healthcare resource availability. It implies that policies that incentivize care provided by non-prescribing healthcare workers, such as nurses, may alleviate some opioid issues in impoverished areas.

Continued Underutilization of stroke care during the COVID-19 pandemic

ObjectiveThis study aims to investigate the utilization of acute ischemic stroke (AIS) services during the Corona Virus Disease 2019 (COVID-19) pandemic. Based on early observations among healthcare utilization on stroke and other healthcare services, we hypothesized that there would be a persistent significant decline in AIS patients presenting to hospitals as the pandemic has progressed for over a year. MethodTriNetX, a large research network, is used to collect real-time electronic medical data. Data on utilization of acute ischemic stroke service was collected for the years 2018, 2019, and 2020 for variables including overall stroke volume and the number of patients that received intravenous tissue plasminogen activator (tPA) and mechanical thrombectomy (MT). ResultWe found a 13.2–15.4% decrease in total number of AIS patients in 2020 (n 77231) compared with the years 2018 and 2019 (n 88948 and 91270 respectively, p ​< ​0.001). In the year 2020 Stroke volume was significantly lower in Q4 comparing to Q1 (Q1 vs Q4, p ​< ​0.01, while there were no significant differences in stroke volume between Quarters 2, 3, and 4 in 2020 (Q2 vs Q3, p ​= ​0.39, Q2 vs Q4, p ​= ​0.61, Q3 vs Q4, p ​= ​0.18). The Proportion of patients receiving tPA in 2020 was significantly lower compared to prior years (5.4% in 2020 vs 6.4% in 2018 and 6.0% in 2019, p ​< ​0.01), however, the proportion of patients receiving MT was significantly higher in 2020 than in 2018 (0.024 vs 0.022, p ​< ​0.01). ConclusionDespite significant alteration in practices to optimize healthcare delivery and mitigate the collateral impact of the pandemic on care for other conditions, a persistent decline in AIS volumes remains. Delayed presentation, fear-of-contagion, reallocation, and poor availability of health care resources are potential contributors. Prospective evaluation and further investigation for these trends is needed.

Admission discipline and timing of admission may influence outcomes for gastrointestinal bleeding patients.

Bleeding of the gastrointestinal tract (BGIT) is a common gastrointestinal emergency. There is no consensus whether this condition should be admitted to medical or surgical discipline. Timing of presentation may also impact patient outcomes due to differences in healthcare resource availability. This study thus aims to investigate the impact of admitting discipline and timing of admission on patient outcomes in BGIT. A 2-year tertiary institution database was retrospectively reviewed. Outcome measures included 30-day mortality, 30-day readmissions and rebleeding requiring repeat endoscopic, angiographic or surgical interventions. Secondary outcome measures included time to endoscopy, percutaneous angiographic interventions and surgery. The effect of admission discipline (medical versus surgical) and time of admission (office-hours versus after office-hours) were analysed using a propensity-score-adjusted estimate. A total of 1384 patients were included for analysis, medical (n=853), surgical (n=530); during office-hours (n=785) and after office-hours (n=595). After propensity-score-adjusted analysis, no significant differences in mortality or readmissions were noted between medical or surgical admissions. Patients admitted under surgery were less likely to sustain rebleeding (P= 0.004) for lower BGIT and had an earlier time to endoscopy for upper BGIT (P= 0.04). Patients admitted after office-hours had similar outcomes with those admitted during office hours apart from a delay in time to endoscopy (P= 0.02). For BGIT patients, admission to a surgical discipline compared to a medical discipline appeared to have at least equivalent patient outcomes. Patients presenting with BGIT after office-hours were more likely to experience a delay to endoscopy, although it did not affect patient mortality.

COVID-19 in a series of patients with aspirin-exacerbated respiratory disease

COVID-19 in a series of patients with aspirin-exacerbated respiratory disease

Impact of COVID-19 on the outcomes of gastrointestinal surgery.

COVID-19 pandemic has brought a paradigm shift in the treatment of various surgical gastrointestinal disorders. Given the increasing number of patients requiring hospitalization and intensive care for SARS-CoV-2 infections, various surgical departments worldwide were forced to stop or postpone elective surgeries to save the health resources for COVID-19 patients. Since the declaration of the COVID-19 pandemic by the World Health Organization on 12th March 2020, the recommendations from the surgical societies kept evolving to help the surgeons in making informed decisions regarding patient care. Moreover, various socio-economic and epidemiological factors have come into play while deciding the optimal approach towards patients requiring gastrointestinal surgery. Surgeries for many abdominal diseases such as acute appendicitis and acute calculous cholecystitis were postponed. Elective surgeries were triaged based on the urgency of performing the surgical procedure, the hospital burden of COVID-19 patients, and the availability of healthcare resources. Various measures were adopted such as preoperative screening for SARS-CoV-2 infection, use of personal protective equipment, and the COVID-19-free surgical pathway to prevent perioperative SARS-CoV-2 transmission. In this article, we have reviewed the recent studies reporting the outcomes of various gastrointestinal surgeries in the COVID-19 pandemic era and the recommendations from various surgical societies on the safety precautions to be followed during gastrointestinal surgery.

Effect of socioeconomic inequalities and vulnerabilities on health-system preparedness and response to COVID-19 in Brazil: a comprehensive analysis

BackgroundCOVID-19 spread rapidly in Brazil despite the country's well established health and social protection systems. Understanding the relationships between health-system preparedness, responses to COVID-19, and the pattern of spread of the epidemic is particularly important in a country marked by wide inequalities in socioeconomic characteristics (eg, housing and employment status) and other health risks (age structure and burden of chronic disease).MethodsFrom several publicly available sources in Brazil, we obtained data on health risk factors for severe COVID-19 (proportion of the population with chronic disease and proportion aged ≥60 years), socioeconomic vulnerability (proportions of the population with housing vulnerability or without formal work), health-system capacity (numbers of intensive care unit beds and physicians), coverage of health and social assistance, deaths from COVID-19, and state-level responses of government in terms of physical distancing policies. We also obtained data on the proportion of the population staying at home, based on locational data, as a measure of physical distancing adherence. We developed a socioeconomic vulnerability index (SVI) based on household characteristics and the Human Development Index. Data were analysed at the state and municipal levels. Descriptive statistics and correlations between state-level indicators were used to characterise the relationship between the availability of health-care resources and socioeconomic characteristics and the spread of the epidemic and the response of governments and populations in terms of new investments, legislation, and physical distancing. We used linear regressions on a municipality-by-month dataset from February to October, 2020, to characterise the dynamics of COVID-19 deaths and response to the epidemic across municipalities.FindingsThe initial spread of COVID-19 was mostly affected by patterns of socioeconomic vulnerability as measured by the SVI rather than population age structure and prevalence of health risk factors. The states with a high (greater than median) SVI were able to expand hospital capacity, to enact stringent COVID-19-related legislation, and to increase physical distancing adherence in the population, although not sufficiently to prevent higher COVID-19 mortality during the initial phase of the epidemic compared with states with a low SVI. Death rates accelerated until June, 2020, particularly in municipalities with the highest socioeconomic vulnerability. Throughout the following months, however, differences in policy response converged in municipalities with lower and higher SVIs, while physical distancing remained relatively higher and death rates became relatively lower in the municipalities with the highest SVIs compared with those with lower SVIs.InterpretationIn Brazil, existing socioeconomic inequalities, rather than age, health status, and other risk factors for COVID-19, have affected the course of the epidemic, with a disproportionate adverse burden on states and municipalities with high socioeconomic vulnerability. Local government responses and population behaviour in the states and municipalities with higher socioeconomic vulnerability have helped to contain the effects of the epidemic. Targeted policies and actions are needed to protect those with the greatest socioeconomic vulnerability. This experience could be relevant in other low-income and middle-income countries where socioeconomic vulnerability varies greatly.FundingNone.TranslationFor the Portuguese translation of the abstract see Supplementary Materials section.

Liver Transplantation during the COVID-19 pandemic: A quantitative model balancing individual patient benefit against population healthcare needs

Introduction & Aim: The COVID-19 pandemic stressed the healthcare system and decreased the supply of organs for transplantation, leading to renewed debate about which patients should receive priority during these times. The aim of this study is to provide a quantitative model to aid decision making in liver transplantation, balancing benefit to the transplant patient against the availability of healthcare resources. Methods: To describe the ethical tension arising in a pandemic scenario, we propose a novel ethical framework where individual transplant benefit should outweigh the harm to others on the waiting list determining a “net benefit” to define appropriate organ allocation (Figure). Italian averages for waiting list characteristics, organ arrival, mortality, and transplant rates were obtained from a national prospective database (n=8,567 patients), and then included into Markov models to calculate individual transplant benefit minus the cumulative harm to patients on the waiting list (i.e. net benefit). Results: Five-year individual net benefit in a usual organ arrival situation varied from 0 life months with MELD 12 to 31.6 with MELD 40 in non-HCC patients, and from 3.01 life months with MELD 6 to 32.2 with MELD 40 in HCC patients. Net benefit values in a pandemic scenario of 50% organs decrease varied from 0 with MELD 21 (threshold value) to 15.27 with MELD 40 in non-HCC patients, and from 0 with MELD 18 (threshold value) to 16.3 with MELD 40 in HCC patients. Simple equations and a web-calculator to estimate the net transplant benefit in different geographical contexts were implemented. Conclusions: Our study supports the continuation of transplantation during COVID-19 like crises, however the focus needs to be on those patients with highest net survival benefit.

Performing elective cardiac invasive procedures during the COVID-19 outbreak: a position statement from the European Association of Percutaneous Cardiovascular Interventions (EAPCI).

The rearrangement of healthcare services required to face the coronavirus disease 2019 (COVID-19) pandemic led to a drastic reduction in elective cardiac invasive procedures. We are already facing a "second wave" of infections and we might be dealing during the next months with a "third wave" and subsequently new waves. Therefore, during the different waves of the COVID-19 pandemic we have to face the problems of how to perform elective cardiac invasive procedures in non-COVID patients and which patients/procedures should be prioritised. In this context, the interplay between the pandemic stage, the availability of healthcare resources and the priority of specific cardiac disorders is crucial. Clear pathways for "hot" or presumed "hot" patients and "cold" patients are mandatory in each hospital. Depending on the local testing capacity and intensity of transmission in the area, healthcare facilities may test patients for SARS-CoV-2 infection before the interventional procedure, regardless of risk assessment for COVID-19. Pre-hospital testing should always be conducted in the presence of symptoms suggestive of SARS-CoV-2 infection. In cases of confirmed or suspected COVID-19 positive patients, full personal protective equipment using FFP 2/N95 masks, eye protection, gowning and gloves is indicated during cardiac interventions for healthcare workers. When patients have tested negative for COVID-19, medical masks may be sufficient. Indeed, individual patients should themselves wear medical masks during cardiac interventions and outpatient visits.

Availability of Healthcare Resources on Equitable Bases in the United States During Covid-19: A Review on Health Economic Aspects

Availability of Healthcare Resources on Equitable Bases in the United States During Covid-19: A Review on Health Economic Aspects

Hand Injuries of Coal Miners in Southern West Virginia: A Pilot Study on Health-Care Resources in Southern West Virginia.

Introduction:Distance and other factors may play a significant role in both the implementation of care and the number of secondary health outcomes. The distance from an injury site can play a substantial impact on the mortality of different injuries and access to health-related services. Within this study, we sought to understand the effect of the site to treating center distance and access to relevant health-care services on effect and secondary injuries of coal mining-related injuries.Methods:We evaluated patient demographics, coal mining locations, and patient outcomes. This study is a retrospective review of patients with coal mining hand injuries included in our Level 1 trauma database as well as the amount of health-related resources defined by WV GIS Health Care (Hospitals). The sample consists of coal mine workers. All patients had to meet the study criteria and were admitted during the study period of January 1, 2005, through March 31, 2015. We then were able to locate the coal mines where these coal miners were injured based on information from their medical records and the availability of health-care resources (hospitals) around the zones of injury, as well as health-related resources from the WV GIS database. The sample size was n = 104. Data were collected in an Excel spreadsheet. Stata 11.2 was used to conduct a multinomial logistic regression. A hub analysis was performed to understand the overall distance associated with the injury site and care using Arch GIS 10.6. A hotspot analysis was also performed in order to understand the differences of different zones of concern of injury sites in Southern West Virginia, from January 1, 2005, to March 31, 2015.Results:Variables collected are as follows: a total number of coal miners were 104, with an average age of miners being similar in age demographics at 19–62. Coal mines are registered on the map with relevance to injury based on location; severity scale is presented. The most common injuries were fractures at 42.3% (47/104) followed by amputations at 26.9% (28/104). The index finger had an overall higher rate of injury at 28.8% (30/104). To understand the overall impact of specific injuries of coal miners based on the location, we peered into the number of injuries sustained at particular sites over the 10 years. Within this, the attached group, the average distance per injury to a medical center that was able to assist with hand injuries, was 46.1 miles. The shortest distance was within one mile of the center, and the most prolonged distance was 83.3 miles. The highest concentration of coal mining injuries were over 5 miles away from any health care organizations. The at-risk area of coal mining injuries was identified at (P = 0.001) and outside of health-care resources that can be seen within the hotspot analysis tested within this analysis.Conclusion:Specific injuries appear to be more at risk on different portions of the hand, as described in our initial data analysis. We also found that particular coal mines seem to harbor more coal mining hand injuries. Rural health care has the challenge of injuries occurring at extended distances and requires that treatment becomes as efficient as possible to maximize the chances of a full recovery.Aim and Objectives:The objective of this study is to understand if the distance between the location of injury and trauma center plays a role in the outcome of coal mines related to hand injuries treated at Charleston Area Medical Center.

Demographic and socio-economic factors, and healthcare resource indicators associated with the rapid spread of COVID-19 in Northern Italy: An ecological study.

BackgroundCOVID-19 rapidly escalated into a pandemic, threatening 213 countries, areas, and territories the world over. We aimed to identify potential province-level socioeconomic determinants of the virus’s dissemination, and explain between-province differences in the speed of its spread, based on data from 36 provinces of Northern Italy.MethodsThis is an ecological study. We included all confirmed cases of SARS-CoV-2 reported between February 24th and March 30th, 2020. For each province, we calculated the trend of contagion as the relative increase in the number of individuals infected between two time endpoints, assuming an exponential growth. Pearson’s test was used to correlate the trend of contagion with a set of healthcare-associated, economic, and demographic parameters by province. The virus’s spread was input as a dependent variable in a stepwise OLS regression model to test the association between rate of spread and province-level indicators.ResultsMultivariate analysis showed that the spread of COVID-19 was correlated negatively with aging index (p-value = 0.003), and positively with public transportation per capita (p-value = 0.012), the % of private long-term care hospital beds and, to a lesser extent (p-value = 0.070), the % of private acute care hospital beds (p-value = 0.006).ConclusionDemographic and socioeconomic factors, and healthcare organization variables were found associated with a significant difference in the rate of COVID-19 spread in 36 provinces of Northern Italy. An aging population seemed to naturally contain social contacts. The availability of healthcare resources and their coordination could play an important part in spreading infection.

Exploring the market to establish an advanced surgical community eye hospital

Developing countries often cite shortage of human resource, limited accessibility, low affordability, and asymmetric availability of health care resources as the provider end barriers to health care service utilization. Using the example of a market research project undertaken to establish an advanced surgical eye hospital in the Indian state of Uttar Pradesh, a decision-grid is constructed whereby health care providers’ can make informed decisions regarding expansion and service delivery. The comparative and interpretive logic-based approach utilizes public domain data coupled with field research and is apt for those working in developing countries and/or resource-crunch settings. The paradigms laid out and discussed, provide building blocks for decision-making, which if harnessed effectively, have broad applicability in terms of reaching the previously unreached and ultimately in improving health outcomes.

Characteristics and Real-Life Outcomes of Dementia and Cognitive Impairment at a Geriatric Clinic

Background: Various patterns of dementia care have been developed in different settings, depending on the availability of healthcare resources and facilities. The purpose of this study was to examine the epidemiology and characteristics of dementia care at a geriatric clinic, a field that has been subject to little prior evaluation. Methods: A retrospective chart review was undertaken of cohort patients with cognitive impairment who had received a diagnosis and were still on active follow-up at a geriatric clinic. A total of 892 patients were included. In addition, 203 geriatric patients with no cognitive impairment who attended the clinic during the study period were sampled as a control. Results: The main diagnoses of dementia were Alzheimer’s disease (AD) (40.1%), vascular dementia (16.9%), unspecified dementia (16.3%), mixed dementia (9.0%), AD with cerebrovascular disease (8.7%), and Parkinson’s disease dementia (6.1%). Atypical dementia was presented in 3.0% of cases. There were 178 patients with mild cognitive impairment, 20 with vascular cognitive impairment, and 18 with subjective cognitive decline. Other comorbidities were found in 97% of the subjects. Patients with cognitive impairment had a higher total number of other geriatric syndromes and higher percentages for delirium, falls, immobility, loss of appetite, and incontinence. Potentially reversible causes of dementia were found in 11.3% of the cases. Acetylcholinesterase inhibitors were administered to 61%, whereas 23.5% received an NMDA receptor antagonist. The need for a change in the antidementia medication was identified for 10.7% of the subjects; the major cause was adverse drug side effects. Nonpharmacological therapy only was administered to 52.4% of the people with dementia who had behavioral and psychological symptoms. Conclusions: Mixed brain pathologies, comorbidities, and the coexistence of other geriatric syndromes are common at geriatric clinics. Holistic, integrated, and continuous care are needed to improve the outcomes of patients with more complicated comorbidities.

What to know about home testing and monitoring devices

The home testing market continues to expand, offering a wide array of products that are user friendly and comprehensive. Many areas are seeing growth, particularly with the rise of new technologies and wearables. As use of home testing and monitoring kits becomes increasingly common, what do pharmacists need to know? Home tests are typically available as strips, cups, dip cards, cassettes, and more recently, digital monitoring devices (wearables). Blood, urine, and saliva are the primary testing media. Forces driving the growth in home diagnostics include increased public interest in health and preventive medicine; reduced health care costs, because patients can avoid unnecessary visits to health care providers and seek earlier treatment for a medical condition; reduced access and availability of health care resources; increased number of available tests; and important advances in technology that have led to simplified, accurate tests that can be easily performed at home. Home testing and monitoring kits are designed to detect the presence or absence of a medical or physiological condition and to monitor disease therapy. Recent growth in this market has been in the area of preventive health. Individuals with a family history of certain conditions such as hypertension and diabetes are now using wearables and other devices to take a proactive approach to wellness and prevention. Others who are interested in monitoring certain aspects of their health are also using wearables to obtain more personalized, individualized information to guide lifestyle and health decisions. FDA requires that home tests perform as well as their professional-use equivalent. However, individuals must use these products properly to achieve accurate results. For FDA to approve a direct-to-consumer test, consumers need to be able to get an accurate result from the test and interpret it in the way it's supposed to be interpreted. The test must be able to be used as intended, and results must be easy to decode. And ultimately, the test's benefits must outweigh its risks. FDA maintains a site that provides information on approved OTC medical devices for home use. Home test kits are available to aid in detecting the following conditions: pregnancy, female fertility, male fertility, colorectal cancer (fecal occult blood tests), high cholesterol, UTIs, HIV, hepatitis C, and misuse of drugs. With the variety of diagnostic and monitoring products available, deciding which test to recommend to a patient can be challenging. The major product variables to consider include test complexity, ease of reading results, presence of a control, and cost. As health care providers, when recommending a test or device, it is important to think through the following potential variables: ▪Is testing appropriate for the patient?▪What is the patient's ability to accurately conduct the test? Interpret the results? Take appropriate actions based on the results?▪What happens if the test strip turns a specific color for a positive result but the user is colorblind?▪Is a “negative” result good or bad? Is a “positive” result good or bad?▪When should the user contact their physician?▪What if a patient misinterprets their results?▪What are the potential ways in which the test results could have been interfered with?▪Is there liability? Where/when does the manufacturer's responsibility begin and end?▪What if patients take action based on a result that leads to a negative outcome such as using an unapproved therapy or seeking care from an unorthodox source? The future of home testing and diagnostics will get more complex, and more data will be in patients’ hands. This will likely lead to some patients feeling more empowered, others more confused, and many wanting guidance from an expert. Pharmacists can and should be this expert to provide advice, recommendations, and referrals where appropriate. Daniel L. Krinsky, RPh, MS, owner, EduCare4U, LLC; and co-owner, PGx101, Stow, OH. For more information, please see APhA's Handbook of Nonprescription Drugs, 19th Edition, available in print or online to subscribers of Pharmacy Library at www.pharmacist.com.

Decomposing Urban and Rural Disparities of Preventable ED Visits Among Patients With Alzheimer's Disease and Related Dementias: Evidence of the Availability of Health Care Resources.

The purpose of this study was to examine the urban and rural differences in the frequency of preventable Emergency Department (ED) visits among Alzheimer's Disease and Related Dementias (ADRD) patients, with a focus on the availability of health care resources in urban and rural areas. Linked datasets of 2015 State Emergency Department Databases from the Healthcare Cost and Utilization Project and the Area Health Resource File were used. ED discharges of 7 states were included in our analysis. We performed a state fixed-effect multivariable logistic regression to estimate the variation of preventable EDs by urban and rural areas. Individual characteristics and county-level health care resources were included in the estimation. The Oaxaca decomposition was used to quantify the association of county-level health care resources and urban/rural disparities. Rural patients with ADRD had 1.23 higher adjusted odds (P < .001) of going to the ED for a preventable visit compared to urban counterparts. The decomposition results showed that the model specification explained 49.2% of the differences between urban and rural patients. Patient residence in a mental health professional shortage area is one of the driving factors (contributing to 27%-48%) that explained the urban and rural disparities. Our study demonstrates the importance of improving health care resources in rural areas to improve health care quality and outcomes among ADRD patients who reside in rural areas. Future research and data collection on unobserved factors, such as health care quality, will be helpful in explaining the geographic differences.