Mobile health clinics in the United States.

BACKGROUND: Mobile health clinics serve an important role in the health care system, providing care to some of the most vulnerable populations. Mobile Health Map is the only comprehensive database of mobile clinics in the United States. Members of this collaborative research network and learning community supply information about their location, services, target populations, and costs. They also have access to tools to measure, improve, and communicate their impact. METHODS: We analyzed data from 811 clinics that participated in Mobile Health Map between 2007 and 2017 to describe the demographics of the clients these clinics serve, the services they provide, and mobile clinics' affiliated institutions and funding sources. RESULTS: Mobile clinics provide a median number of 3491 visits annually. More than half of their clients are women (55%) and racial/ethnic minorities (59%). Of the 146 clinics that reported insurance data, 41% of clients were uninsured while 44% had some form of public insurance. The most common service models were primary care (41%) and prevention (47%). With regards to organizational affiliations, they vary from independent (33%) to university affiliated (24%), while some (29%) are part of a hospital or health care system. Most mobile clinics receive some financial support from philanthropy (52%), while slightly less than half (45%) receive federal funds. CONCLUSION: Mobile health care delivery is an innovative model of health services delivery that provides a wide variety of services to vulnerable populations. The clinics vary in service mix, patient demographics, and relationships with the fixed health system. Although access to care has increased in recent years through the Affordable Care Act, barriers continue to persist, particularly among populations living in resource-limited areas. Mobile clinics can improve access by serving as a vital link between the community and clinical facilities. Additional work is needed to advance availability of this important resource.

Meal Delivery Programs Reduce The Use Of Costly Health Care In Dually Eligible Medicare And Medicaid Beneficiaries.

Delivering food to nutritionally vulnerable patients is important for addressing these patients' social determinants of health. However, it is not known whether food delivery programs can reduce the use of costly health services and decrease medical spending among these patients. We sought to determine whether home delivery of either medically tailored meals or nontailored food reduces the use of selected health care services and medical spending in a sample of adults dually eligible for Medicare and Medicaid. Compared with matched nonparticipants, participants had fewer emergency department visits in both the medically tailored meal program and the nontailored food program. Participants in the medically tailored meal program also had fewer inpatient admissions and lower medical spending. Participation in the nontailored food program was not associated with fewer inpatient admissions but was associated with lower medical spending. These findings suggest the potential for meal delivery programs to reduce the use of costly health care and decrease spending for vulnerable patients.

Preventative health, diversity, and inclusion: a qualitative study of client experience aboard a mobile health clinic in Boston, Massachusetts.

BACKGROUND: There are approximately 2000 mobile health clinics operating in the United States. While researchers have established that mobile health clinics can be cost effective and improve outcomes, there is scant research examining the healthcare experience on a mobile health clinic from patients' perspectives. METHODS: Data were gathered from interviews with 25 clients receiving care on a Boston-based mobile health clinic and analyzed using grounded theory methodology. RESULTS: Emerging patterns in the data revealed three relational and three structural factors most significant to participants' experience of care on The Family Van. Relational factors include providers who 1) Communicate understandably, 2) Create a culture of respect and inclusivity, and 3) Are diverse with knowledge of the community. Structural factors include 1) A focus on preventative health and managing chronic disease, 2) Expeditious, free, and multiple services, and 3) Location. CONCLUSIONS: The participant accounts in this report serve to expand on prior research exploring mobile health clinics' role in patients' healthcare, to more clearly define the most salient aspects of the mobile health clinic model for the patients they serve, and to give voice to patients too seldom heard in the academic literature.

The scope and impact of mobile health clinics in the United States: a literature review.

As the U.S. healthcare system transforms its care delivery model to increase healthcare accessibility and improve health outcomes, it is undergoing changes in the context of ever-increasing chronic disease burdens and healthcare costs. Many illnesses disproportionately affect certain populations, due to disparities in healthcare access and social determinants of health. These disparities represent a key area to target in order to better our nation's overall health and decrease healthcare expenditures. It is thus imperative for policymakers and health professionals to develop innovative interventions that sustainably manage chronic diseases, promote preventative health, and improve outcomes among communities disenfranchised from traditional healthcare as well as among the general population. This article examines the available literature on Mobile Health Clinics (MHCs) and the role that they currently play in the U.S. healthcare system. Based on a search in the PubMed database and data from the online collaborative research network of mobile clinics MobileHealthMap.org , the authors evaluated 51 articles with evidence on the strengths and weaknesses of the mobile health sector in the United States. Current literature supports that MHCs are successful in reaching vulnerable populations, by delivering services directly at the curbside in communities of need and flexibly adapting their services based on the changing needs of the target community. As a link between clinical and community settings, MHCs address both medical and social determinants of health, tackling health issues on a community-wide level. Furthermore, evidence suggest that MHCs produce significant cost savings and represent a cost-effective care delivery model that improves health outcomes in underserved groups. Even though MHCs can fulfill many goals and mandates in alignment with our national priorities and have the potential to help combat some of the largest healthcare challenges of this era, there are limitations and challenges to this healthcare delivery model that must be addressed and overcome before they can be more broadly integrated into our healthcare system.

Outcomes of Oral Health Screenings at Two Different Institutions Serving Individuals with Special Health Care Needs in Massachusetts.

BACKGROUND: As part of the 2009-2010 Massachusetts Dental Society Leadership Institute, two oral health screening and prevention education programs were conducted at institutions in Massachusetts that serve individuals with special health care needs (ISHCN). METHODS: Members of the Leadership Institute class of 2009-2010 built relationships with two institutions that served individuals with ISHCN-one that housed residents with special health care needs and another that served as a day-care facility. Oral health screenings were conducted at both institutions. Retrospective analysis of the data from the two screenings is presented in the current study. RESULTS: Forty-four oral health screenings were conducted at the organization that acted as a daycare/drop-in center for ISHCN who reside in a family home, and 21 screenings were conducted of ISHCN at a residential facility. Among those residing in family homes, 23 percent needed urgent care whereas only 5 percent who were living in an institution needed urgent care. Overall, a total of 40 percent had untreated caries and 48 percent were free of caries based on the oral health screenings. Sixteen percent of subjects were in pain from their mouth at the time of the screenings.

The Emerging Business Models and Value Proposition of Mobile Health Clinics.

Mobile health clinics are increasingly used to deliver healthcare to urban and rural populations. An estimated 2000 vehicles in the United States are now delivering between 5 and 6 million visits annually; however, despite this growth, mobile health clinics represent an underutilized resource that could transform the way healthcare is delivered, especially in underserved areas. Preliminary research has shown that mobile health clinics have the potential to reduce costs and improve health outcomes. Their value lies primarily in their mobility, their ability to be flexibly deployed and customized to fit the evolving needs of populations and health systems, and their ability to link clinical and community settings. Few studies have identified how mobile health clinics can be sustainably utilized. We discuss the value proposition of mobile health clinics and propose 3 potential business models for them-adoption by accountable care organizations, payers, and employers.

Mobile health clinics in the era of reform.

OBJECTIVES: Despite the role of mobile clinics in delivering care to the full spectrum of at-risk populations, the collective impact of mobile clinics has never been assessed. This study characterizes the scope of the mobile clinic sector and its impact on access, costs, and quality. It explores the role of mobile clinics in the era of delivery reform and expanded insurance coverage. STUDY DESIGN: A synthesis of observational data collected through Mobile Health Map and published literature related to mobile clinics. METHODS: Analysis of data from the Mobile Health Map Project, an online platform that aggregates data on mobile health clinics in the United States, supplemented by a comprehensive literature review. RESULTS: Mobile clinics represent an integral component of the healthcare system that serves vulnerable populations and promotes high-quality care at low cost. There are an estimated 1500 mobile clinics receiving 5 million visits nationwide per year. Mobile clinics improve access for vulnerable populations, bolster prevention and chronic disease management, and reduce costs. Expanded coverage and delivery reform increase opportunities for mobile clinics to partner with hospitals, health systems, and insurers to improve care and lower costs. CONCLUSIONS: Mobile clinics have a critical role to play in providing high-quality, low-cost care to vulnerable populations. The postreform environment, with increasing accountability for population health management and expanded access among historically underserved populations, should strengthen the ability for mobile clinics to partner with hospitals, health systems, and payers to improve care and lower costs.

Mobile clinic in Massachusetts associated with cost savings from lowering blood pressure and emergency department use.

Mobile health clinics are in increasingly wide use, but evidence of their clinical impact or cost-effectiveness is limited. Using a unique data set of 5,900 patients who made a total of 10,509 visits in 2010-12 to the Family Van, an urban mobile health clinic in Massachusetts, we examined the effect of screenings and counseling provided by the clinic on blood pressure. Patients who presented with high blood pressure during their initial visit experienced average reductions of 10.7 mmHg and 6.2 mmHg in systolic and diastolic blood pressure, respectively, during their follow-up visits. These changes were associated with 32.2 percent and 44.6 percent reductions in the relative risk of myocardial infarction and stroke, respectively, which we converted into savings using estimates of the incidence and costs of these conditions over thirty months. The savings from this reduction in blood pressure and patient-reported avoided emergency department visits produced a positive lower bound for the clinic's return on investment of 1.3. All other services of the clinic-those aimed at diabetes, obesity, and maternal health, for example-were excluded from this lower-bound estimate. Policy makers should consider mobile clinics as a delivery model for underserved communities with poor health status and high use of emergency departments.

Knowledgeable Neighbors: a mobile clinic model for disease prevention and screening in underserved communities.

The Family Van mobile health clinic uses a "Knowledgeable Neighbor" model to deliver cost-effective screening and prevention activities in underserved neighborhoods in Boston, MA. We have described the Knowledgeable Neighbor model and used operational data collected from 2006 to 2009 to evaluate the service. The Family Van successfully reached mainly minority low-income men and women. Of the clients screened, 60% had previously undetected elevated blood pressure, 14% had previously undetected elevated blood glucose, and 38% had previously undetected elevated total cholesterol. This represents an important model for reaching underserved communities to deliver proven cost-effective prevention activities, both to help control health care costs and to reduce health disparities.

The effect of operative timing on functional outcome after isolated spinal trauma.

BACKGROUND: To evaluate the effect of operative timing on functional outcome in patients suffering spinal trauma, we conducted a retrospective analysis of the National Trauma Data Bank. By treating time to operation as a categorical variable and limiting our analysis to isolated spinal trauma, we hypothesized that time to operation would not be a predictor of functional outcome. METHODS: The National Trauma Data Bank was queried for all patients with isolated spinal trauma who underwent spinal fixation or decompression. Functional outcomes at the time of hospital discharge were measured using Functional Independent Motor Locomotion Score. Generalized ordered logistic model was used to determine the effect of time until operation on functional outcomes. Gender, age, injury severity, the level of trauma center, and the presence of spinal cord injury were included as covariates. RESULTS: Of the final sample of 1,848 patients (mean age 44.3 years), 78% were White and 71% male. Fifty-seven percent of patients had Injury Severity Score between 8 and 15, with the remainder having Injury Severity Score ≤8. Forty-five percent were treated at a Level I trauma center. Using generalized ordered logistic regression, time to operation was not a significant predictor of functional outcomes, whereas treatment at Level I trauma centers seemed to confer marginally better outcomes. CONCLUSIONS: In patients with isolated spinal trauma, time until spinal operation does not seem to be an important predictor of functional outcome at the time of hospital discharge. Operative timing, at the discretion of the surgeon, needs to consider the risks and benefits associated with delayed versus emergent operation.

Insurance status and hospital discharge disposition after trauma: inequities in access to postacute care.

BACKGROUND: Postacute care is an essential component of medical care aimed at returning trauma patients to their preinjury functional status. Rehabilitation services, skilled nursing facilities, and home care all play a role in facilitating the healing process. Access to such care may be limited based on insurance status, leaving the uninsured with limited resources to reach full recovery. We hypothesized that access to specialized postacute care is less available to patients who lack health insurance. METHODS: A retrospective cohort of trauma patients in the National Trauma Databank from 2002 to 2006 was assessed to determine whether insurance status was a predictor of discharge to a specialized postacute care facility (rehabilitation, skilled nursing facilities, and home health). Using multivariate logistic regression, we assessed the likelihood of discharge to such facilities on the basis of insurance status, controlling for patient demographics and injury severity. RESULTS: Adjusting for variation in age, race/ethicity, gender, and injury type and severity, uninsured patients had the lowest odds of being discharged to a skilled nursing facility (odds ratio [OR], 0.76; 95% confidence interval [CI] 0.73-0.80; p<0.001), home health (OR, 0.51; 95% CI 0.49-0.53; p<0.001), and rehabilitation (OR, 0.45; 95% CI 0.44-0.46; p<0.001). Uninsured patients had the highest odds, however, of being discharged directly home (OR, 1.32; 95% CI 1.30-1.34; p<0.001). CONCLUSION: Insurance status is an important predictor of hospital disposition and access to specialized posthospital care. Uninsured patients are less likely to have access to the full range of medical care available to ensure complete recovery from traumatic injuries.

Insights into the rise in HIV infections, 2001 to 2008: a Bayesian synthesis of prevalence evidence.

OBJECTIVE: To estimate trends in prevalence of HIV infection, undiagnosed and total, among adults aged 15-44 years in England and Wales since 2001. DESIGN: Multiple surveillance systems and survey data are available to inform different aspects of the HIV epidemic in England and Wales. To coherently and consistently combine this information to estimate trends in HIV prevalence, we apply a multiparameter evidence synthesis in a Bayesian statistical framework. METHODS: The study population is stratified by exposure group and region of residence. We synthesize data from behavioural and community surveys, unlinked anonymous seroprevalence surveys, and an annual survey of individuals with diagnosed HIV infection. Prevalence estimates are given with 95% credible intervals. RESULTS: The estimated number of prevalent HIV infections in 15-44-year-olds has increased from 32,400 (29,600-35,900) in 2001 to 54,500 (50,500-59,100) in 2008, corresponding to an estimated prevalence of 1.5 per 1000 (1.4-1.7) rising to 2.4 per 1000 (2.3-2.6) in 2008. A rise in prevalence of diagnosed infection contributes substantially to the increase. There is no evidence of a statistically significant decrease in the prevalence of undiagnosed infection. The proportion of infections that are diagnosed has therefore also increased. CONCLUSION: Although the increase in the proportion of infections that are diagnosed is encouraging, the rise in HIV prevalence and lack of evidence of a decrease in prevalence of undiagnosed infection suggest that diagnosis rates are not high enough to reduce the pool of individuals unaware of their infection and that new infections must be occurring.

Monitoring the emergence of community transmission of influenza A/H1N1 2009 in England: a cross sectional opportunistic survey of self sampled telephone callers to NHS Direct.

OBJECTIVE: To evaluate ascertainment of the onset of community transmission of influenza A/H1N1 2009 (swine flu) in England during the earliest phase of the epidemic through comparing data from two surveillance systems. DESIGN: Cross sectional opportunistic survey. STUDY SAMPLES: Results from self samples by consenting patients who had called the NHS Direct telephone health line with cold or flu symptoms, or both, and results from Health Protection Agency (HPA) regional microbiology laboratories on patients tested according to the clinical algorithm for the management of suspected cases of swine flu. SETTING: Six regions of England between 24 May and 30 June 2009. MAIN OUTCOME MEASURE: Proportion of specimens with laboratory evidence of influenza A/H1N1 2009. RESULTS: Influenza A/H1N1 2009 infections were detected in 91 (7%) of the 1385 self sampled specimens tested. In addition, eight instances of influenza A/H3 infection and two cases of influenza B infection were detected. The weekly rate of change in the proportions of infected individuals according to self obtained samples closely matched the rate of increase in the proportions of infected people reported by HPA regional laboratories. Comparing the data from both systems showed that local community transmission was occurring in London and the West Midlands once HPA regional laboratories began detecting 100 or more influenza A/H1N1 2009 infections, or a proportion positive of over 20% of those tested, each week. CONCLUSIONS: Trends in the proportion of patients with influenza A/H1N1 2009 across regions detected through clinical management were mirrored by the proportion of NHS Direct callers with laboratory confirmed infection. The initial concern that information from HPA regional laboratory reports would be too limited because it was based on testing patients with either travel associated risk or who were contacts of other influenza cases was unfounded. Reports from HPA regional laboratories could be used to recognise the extent to which local community transmission was occurring.

Coming home to die? The association between migration and mortality in rural South Africa.

BACKGROUND: Studies on migration often ignore the health and social impact of migrants returning to their rural communities. Several studies have shown migrants to be particularly susceptible to HIV infection. This paper investigates whether migrants to rural households have a higher risk of dying, especially from HIV, than non-migrants. METHODS: Using data from a large and ongoing Demographic Surveillance System, 41,517 adults, enumerated in bi-annual rounds between 2001 and 2005, and aged 18 to 60 years were categorized into four groups: external in-migrants, internal migrants, out-migrants and residents. The risk of dying by migration status was quantified by Cox proportional hazard regression. In a sub-group analysis of 1212 deaths which occurred in 2000 - 2001 and for which cause of death information was available, the relationship between migration status and dying from AIDS was examined in logistic regression. RESULTS: In all, 618 deaths were recorded among 7,867 external in-migrants, 255 among 4,403 internal migrants, 310 among 11,476 out-migrants and 1900 deaths were registered among 17,771 residents. External in-migrants were 28% more likely to die than residents [adjusted Hazard Ratio (aHR) = 1.28, P < 0.001, 95% Confidence Interval (CI) (1.16, 1.41)]. In the sub-group analysis, the odds of dying from AIDS was 1.79 [adjusted Odd ratio (aOR) = 1.79, P = 0.009, 95% CI (1.15, 2.78)] for external in-migrants compared to residents; there was no statistically significant difference in AIDS mortality between residents and out-migrants, [aOR = 1.25, P = 0.533, 95% CI (0.62-2.53)]. Independently, females were more likely to die from AIDS than males [aOR = 2.35, P < 0.001, 95% CI (1.79, 3.08)]. CONCLUSION: External in-migrants have a higher risk of dying, especially from HIV related causes, than residents, and in areas with substantial migration this needs to be taken into account in evaluating mortality statistics and planning health care services.

Refining the criteria for stalled fertility declines: an application to rural KwaZulu-Natal, South Africa, 1990-2005.

Stalled fertility declines have been identified in several regions across the developing world, but the current conceptualization of a stalled fertility decline is poorly theorized and does not lend itself to objective measurement. We propose a more rigorous and statistically testable definition of stalled fertility decline that can be applied to time-series data. We then illustrate the utility of our definition through its application to data from rural South Africa for the period 1990-2005 collected from a demographic surveillance site. Application of the approach suggests that fertility decline has indeed stalled in rural KwaZulu-Natal, at about three children per woman. The stall, some 20 percent above the replacement fertility level, does not appear to be associated with a rise in wanted fertility or attenuated access to contraceptive methods. This identification of a stalled fertility decline provides the first evidence of such a stall in southern Africa, the region with the lowest fertility levels in sub-Saharan Africa.

The effects of high HIV prevalence on orphanhood and living arrangements of children in Malawi, Tanzania, and South Africa.

Using longitudinal data from three demographic surveillance systems (DSS) and a retrospective cohort study, we estimate levels and trends in the prevalence and incidence of orphanhood in South Africa, Tanzania, and Malawi in the period 1988-2004. The prevalence of maternal, paternal, and double orphans rose in all three populations. In South Africa - where the HIV epidemic started later, has been very severe, and has not yet stabilized - the incidence of orphanhood among children is double that of the other populations. The living arrangements of children vary considerably between the populations, particularly in relation to fathers. Patterns of marriage, migration, and adult mortality influence the living and care arrangements of orphans and non-orphans. DSS data provide new insights into the impact of adult mortality on children, challenging several widely held assumptions. For example, we find no evidence that the prevalence of child-headed households is significant or has increased in the three study areas.

Population and antenatal-based HIV prevalence estimates in a high contracepting female population in rural South Africa.

BACKGROUND: To present and compare population-based and antenatal-care (ANC) sentinel surveillance HIV prevalence estimates among women in a rural South African population where both provision of ANC services and family planning is prevalent and fertility is declining. With a need, in such settings, to understand how to appropriately adjust ANC sentinel surveillance estimates to represent HIV prevalence in general populations, and with evidence of possible biases inherent to both surveillance systems, we explore differences between the two systems. There is particular emphasis on unrepresentative selection of ANC clinics and unrepresentative testing in the population. METHODS: HIV sero-prevalence amongst blood samples collected from women consenting to test during the 2005 annual longitudinal population-based serological survey was compared to anonymous unlinked HIV sero-prevalence amongst women attending antenatal care (ANC) first visits in six clinics (January to May 2005). Both surveillance systems were conducted as part of the Africa Centre Demographic Information System. RESULTS: Population-based HIV prevalence estimates for all women (25.2%) and pregnant women (23.7%) were significantly lower than that for ANC attendees (37.7%). A large proportion of women attending urban or peri-urban clinics would be predicted to be resident within rural areas. Although overall estimates remained significantly different, presenting and standardising estimates by age and location (clinic for ANC-based estimates and individual-residence for population-based estimates) made some group-specific estimates from the two surveillance systems more predictive of one another. CONCLUSION: It is likely that where ANC coverage and contraceptive use is widespread and fertility is low, population-based surveillance under-estimates HIV prevalence due to unrepresentative testing by age, residence and also probably by HIV status, and that ANC sentinel surveillance over-estimates prevalence due to selection bias in terms of age of sexual debut and contraceptive use. The results presented highlight the importance of accounting for unrepresentative testing, particularly by individual residence and age, through system design and statistical analyses.