Peer Reviewed: Use of Peer Groupings to Assess County Public Health Status

Introduction

The Community Health Status Indicators Project was undertaken to produce county-specific reports assessing the status of community health for local jurisdictions throughout the United States. To accomplish this assessment, the Community Health Status Indicators Project team selected peer groupings of counties to monitor and analyze the health of local communities relative to peer communities.

Methods

To identify peer counties, the project team used 5 categorical county demographic variables, a specified order for applying criteria, and a predetermined target for peer grouping size to subdivide counties into homogeneous subgroups called peer groupings.

Results

Eighty-eight peer groupings were developed with 14–58 counties in each. The average size of each peer grouping was 35 counties. All peer groupings included counties representing at least 6 states.

Discussion

Peer groupings are very useful for community health assessment. They convey the range of health status indicator values for similar counties, serve as a basis for expected numbers of reportable diseases, and provide a method for comparing communities with peer and U.S. medians. To maintain their usefulness, peer groupings must be updated periodically.     

An evaluation of satisfaction with telemedicine among health-care professionals

A survey was conducted among non-doctor health-care professionals in six rural counties in Missouri. The purpose of the survey was to establish baseline data to evaluate the effect of changes in the health-care sector, especially technology changes, on the job satisfaction, career satisfaction, relationships and communication activities of health professionals. The survey included three rural counties in which integrated telecommunication and interactive video telemedicine services were being installed, but before significant activities had begun, and three comparator counties without substantial integrated telecommunications infrastructure and telemedicine services. During a one-month study period, 1108 questionnaires were distributed. The total response rate was 50.1% (n = 555). Of the respondents, 30.3% indicated that technology in health-care was having a large effect on their work, although only 18.2% indicated that telemedicine and telecommunications were having a large effect. No systematic differences were found among the health professionals in the two communities at the time telemedicine equipment was being installed.     

Evaluating the ecological association of casino industry economic development on community health status: a natural experiment in the Mississippi delta region.

Objectives of this study were to examine for associations of casino industry economic development on improving community health status and funding for public health services in two counties in the Mississippi Delta Region of the United States. An ecological approach was used to evaluate whether two counties with casino gaming had improved health status and public health funding in comparison with two noncasino counties in the same region with similar social, racial, and ethic backgrounds. Variables readily available from state health department records were used to develop a logic model for guiding analytical work. A linear regression model was built using a stepwise approach and hierarchical regression principles with many dependent variables and a set of fixed and nonfixed independent variables. County-level data for 23 variables over an 11-year period were used. Overall, this study found a lack of association between the presence of a casino and desirable health outcomes or funding for public health services. Changes in the environment were made to promote health by utilizing gaming revenues to build state-of-the-art community health and wellness centers and sports facilities. However, significant increases in funding for local public health services were not found in either of the counties with casinos. These findings are relevant for policy makers when debating economic development strategies. Analysis similar to this should be combined with other routine public health assessments after implementation of development strategies to increase knowledge of health outcome trends and shifts in socioeconomic position that may be expected to accrue from economic development projects.     

Health Disparities Between Appalachian and Non-Appalachian Counties in Virginia USA

The examination of health disparities among people within Appalachian counties compared to people living in other counties is needed to find ways to strategically target improvements in community health in the United States of America (USA). Methods: A telephone survey of a random sample of adults living in households within communities of all counties of the state of Virginia (VA) in the USA was conducted. Findings: Health status was poorer among those in communities within Appalachian counties in VA and health insurance did not make a difference. Health perception was significantly worse in residents within communities in Appalachian counties compared to non-Appalachian community residents (30.5 vs. 17.4% rated their health status as poor/fair), and was worse even among those with no chronic diseases. Within communities in Appalachian counties, black residents report significantly better health perception than do white residents. Conclusion: Residents living in communities in Appalachian counties in VA are not receiving adequate health care, even among those with health insurance. More research with a larger ethnic minority sample is needed to investigate the racial/ethnic disparities in self-reported health and health care utilization within communities.     

Introducing telemedicine technology to rural physicians and settings

OBJECTIVE: The researchers investigated rural health providers' perceptions of telemedicine, developed a framework for assessing their readiness to adopt this type of technology, and offered a guide for its implementation. STUDY DESIGN: Qualitative data were collected from semistructured interviews with thematic analysis. POPULATION: The study population included physicians, nurses, and administrative personnel located in 10 health care practices in 4 communities in 3 rural Missouri counties. OUTCOMES MEASURED: The researchers measured how often health providers used telemedicine technology and their perceptions of the advantages, disadvantages, barriers, and facilitators involved in adopting it. RESULTS: Participants varied widely in their perceptions of telemedicine. Providers in practices affiliated with the university's tertiary center were more likely to use it than were those in private practice. Interviews and other data yielded 6 themes related to a provider's receptivity to technological change: These themes were turf, efficacy, practice context, apprehension, time to learn, and ownership. Each theme applies to the computer and videoconferencing components of telemedicine, and each may operate as a perceived barrier or facilitator of change. CONCLUSIONS: Care providers and administrators consider a range of factors, including economic ramifications, efficacy, social pressure, and apprehension, when deciding whether and how fast to adopt telemedicine. Since adopting this technology can be a major change, agencies trying to introduce it into rural areas should take all these factors into account in their approach to health care providers, staff, and communities.     

Evaluating telemedicine systems and services

The evaluation of telemedicine involves attempts to answer a wide range of questions involved in making decisions about safety, about practicality and about utility. Roughly speaking, if we wish to provide a telemedicine service we should first establish that it is safe, next that it is practical and finally that it is worthwhile. In establishing safety, most laboratory studies of telemedicine have a common structure, and consist of the following steps: (1) selection of cases; (2) interpretation; (3) comparison with a gold standard; (4) statistical analyses. Most of the studies to establish the practicality of telemedicine have been carried out as demonstrations, to show that a proposed application can be implemented in a chosen setting. In terms of utility, telemedicine has been used to improve the efficiency of an existing service or to make an existing service available to a new community. One of the difficulties is that the vendors of relatively expensive telemedicine systems and services disseminate much of the information on the topic. We have to focus not on the glamorous technology but on the underlying issue of how the participants in health care (patients, general practitioners, specialists) can communicate more effectively, using the range of technological options open to them. Ensuring that the most appropriate technology is used in the most effective way should be the primary aim of telemedicine research. There is now sufficient evidence for us to be confident that telemedicine is a safe alternative to conventional care in a variety of situations and for a number of clinical conditions. Reliable evidence that it is a practical and cost-effective alternative is, at the time of writing, harder to find.     

Rural health care in Malaysia

ABSTRACT:   Malaysia has a population of 21.2 million of which 44% resides in rural areas. A major priority of healthcare providers has been the enhancement of health of 'disadvantaged' rural communities particularly the rural poor, women, infants, children and the disabled. The Ministry of Health is the main healthcare provider for rural communities with general practitioners playing a complimentary role. With an extensive network of rural health clinics, rural residents today have access to modern healthcare with adequate referral facilities. Mobile teams, the flying doctor service and village health promoters provide healthcare to remote areas. The improvement in health status of the rural population using universal health status indicators has been remarkable. However, differentials in health status continue to exist between urban and rural populations. Malaysia's telemedicine project is seen as a means of achieving health for all rural people.     

International Perspective: RURAL NURSING IN THE UNITED STATES: WHERE DO WE STAND AS WE ENTER A NEW MILLENNIUM?

ABSTRACT: Approximately one-fourth of all Americans live in rural communities; and, of the 50 States, 31 have more than 60% of their counties designated as rural. No matter what indicator is used, United States residents in non-metropolitan areas have less than metropolitan counterparts (e.g. per capita income, health status, access to care, level of education and employment opportunities) and are more likely to need help from human services and health professionals. Additionally, rural people often must confront unique obstacles not experienced by most urban residents to access those services. As nurses live and work in rural communities they, too, must be aware of and contend with similar factors in their practice settings. In some ways rural nursing practice has changed dramatically over the last decade but in other ways things remain much the same. This article will examine common nursing issues associated with caring for clients in a rural environment. The information in this article is based on a review of the literature and the author's personal and professional nursing experiences.     

Performance Evaluation of Community Health Workers: Case Study in the Amazon of Peru

A shortage in human resources for health is a growing crisis that has led to an inability to provide adequate health services to impoverished populations. By “task-shifting”, health systems can delegate certain activities, such as health promotion and referral, to trained community members to help fill the human resource gap. An effective community health agent program can improve maternal and child health and overall effectiveness of rural health systems. Such a program is most effective when the community health agents receive supervision and evaluation of their performance. There is a shortage of literature that provides instruction and example on how to conduct a performance evaluation in the developing world to improve maternal and child health outcomes. The current study provides a case study of a performance evaluation in the Amazon region of Peru and how the findings can be used to make program adjustments. A set of instruments to measure the performance of CHWs was adapted from the literature and then implemented in the field. The instruments were used to measure the quality of home visits by the CHWs, their knowledge of the health topics, and structural activities. Three communities with an active CHW program in Loreto, Peru were chosen to receive the evaluation. All CHWs in the communities were evaluated. The scores from the evaluation were compared internally to identify strengths and weaknesses of the program and within the population of CHWs. The evaluation was completed on 52 home visits and 27 CHWs in three communities. The CHWs were found to be most effective at creating good relationships with caregivers and delivering health messages, and least effective at interacting with the child during the home visit and using material to deliver health messages. The evaluation instruments were well suited for the CHW program that utilizes home visits to teach about child health and development.     

Using hospitalization for ambulatory care sensitive conditions to measure access to primary health care: an application of spatial structural equation modeling

Background  

In data commonly used for health services research, a number of relevant variables are unobservable. These include population lifestyle and socio-economic status, physician practice behaviors, population tendency to use health care resources, and disease prevalence. These variables may be considered latent constructs of many observed variables. Using health care data from South Carolina, we show an application of spatial structural equation modeling to identify how these latent constructs are associated with access to primary health care, as measured by hospitalizations for ambulatory care sensitive conditions. We applied the confirmatory factor analysis approach, using the Bayesian paradigm, to identify the spatial distribution of these latent factors. We then applied cluster detection tools to identify counties that have a higher probability of hospitalization for each of the twelve adult ambulatory care sensitive conditions, using a multivariate approach that incorporated the correlation structure among the ambulatory care sensitive conditions into the model.     

E-health and the Universitas 21 organization: 2. Telemedicine and underserved populations

Telemedicine activities in underserved communities were reviewed as part of the Universitas 21 (U21) e-health project. A SWOT analysis (strengths, weaknesses, opportunities, threats) was conducted on 12 articles identified in a literature review, supplemented by expertise from U21 members. The analysis showed that threats include the reluctance of populations to use telemedicine services, and a general absence of infrastructure and resources to sustain them. Opportunities centre around potential research, including cost-effectiveness analyses and quantitative assessments of existing telemedicine services. The great strength of telemedicine is that it can improve access to health services among those most in need. However, its greatest weakness is the lack of evidence supporting its clinical and cost advantages relative to traditional services. This represents an important opportunity for research on telemedicine initiatives among underserved populations.     

Access to quality health services: determinants of access

Access to health care has been the focus of national health policy in recent years, but little attention has been given to local communities and their access issues. This study offers a conceptual framework and an empirical analysis to identify the independent effect of predisposing, enabling, and medical need factors on access to care in a local community. In addition, access limitations related to the health plan and individual providers are incorporated into the access model. A hierarchical logistic regression is used in which the dichotomous dependent variable-residents' overall satisfaction with access to health care is regressed on five blocks of predictor variables. The most influential variables on access are enabling and health plan variables.     

Diffusion theory and telemedicine adoption by Kansas health-care providers: critical factors in telemedicine adoption for improved patient access

Twenty counties in Kansas were randomly selected from those designated as rural on the basis of their populations. A sample of 356 physicians and physicians' assistants in these counties was chosen. A postal survey was sent to the identified providers up to three times. One hundred and eighty-six of the questionnaires were returned (a response rate of 52%). In all, 76% of the respondents were physicians, 76% were men and 42% were family practitioners. Practitioners were classified as adopters or non-adopters of telemedicine, based on their report of whether they had ever referred one or more patients for a health-care consultation via telemedicine. Of the 167 participants who marked this item, 30 (18%) were adopters and 137 (82%) were non-adopters. Among the adopters, 16 (53%) said that they expected to use telemedicine with about the same frequency or more often in the future. In contrast, 61 (45%) non-adopters reported that they did not expect to refer patients by telemedicine in the future and 51 (37%) were unsure. Neither age (r = 0.16, P = 0.44) nor gender (chi2 = 2.35, P = 0.13) was related to the adoption variable or the number of referrals made to telemedicine clinics. The results suggest that adopters and non-adopters of telemedicine perceive its value very differently, and that an opportunity exists to promote the concept to non-adopters more effectively.     

Perceptions of Local Health Care Quality in 7 Rural Communities with Telemedicine

CONTEXT: Rural health services are difficult to maintain because of low patient volumes, limited numbers of providers, and unfavorable economies of scale. Rural patients may perceive poor quality in local health care, directly impacting the sustainability of local health care services. PURPOSE: This study examines perceptions of local health care quality in 7 rural, underserved communities where telemedicine was implemented. This study also assesses factors associated with travel outside of local communities for health care services. METHODS: Community-based pretelemedicine and posttelemedicine random telephone surveys were conducted in 7 northern California rural communities assessing local residents' perceptions of health care quality and the frequency of travel outside their community for health care services. Five-hundred rural residents were interviewed in each of the pretelemedicine and posttelemedicine surveys. Between surveys, telemedicine services were made available in each of the communities. FINDINGS: Residents aware of telemedicine services in their community had a significantly higher opinion of local health care quality (P =.002). Satisfaction with telemedicine was rated high by both rural providers and patients. Residents with lower opinions of local health care quality were more likely to have traveled out of their community for medical care services (P =.014). CONCLUSIONS: The introduction of telemedicine into rural communities is associated with increases in the local communities' perception of local health care quality. Therefore, is it possible that telemedicine may result in a decrease in the desire and need for local patients to travel outside of their community for health care services.     

Medical conditions, health status, and health services utilization.

Using data from the 1980 National Medical Care Utilization and Expenditure Survey (N = 11,530), four commonly used health status indicators are interpreted in terms of the underlying medical conditions they reflect. It is found that self-rated health status, role limitations, restricted activity days, and functional limitations measure similar conditions. These conditions tend to be chronic and severe; heart and cerebrovascular disease are especially associated with poor health as measured by all of the variables. Disability days is most likely to reflect acute, transitory morbidity. Practical suggestions for the appropriate use of the four variables are made. In addition, the conditions associated with the most ambulatory utilization of health services are identified. Among these conditions, those which are and are not measured adequately by the health status indicators are disclosed. It is concluded that the health status variables, either individually or as a group, do not measure many variations in health that are strongly related to utilization.     

移动健康技术：基于动态生物特征的信息安全传输

在基于躯感网的远程医疗和移动健康应用中，保证健康信息在传输过程中的安全是最为重要的问题之一。本文首先介绍了远程医疗和移动健康的概念，然后根据实际应用提出了一种远程医疗和移动健康中健康信息传输的典型架构，并基于此架构提出一个信息安全传输方案。该方案包括健康信息传输时的三个阶段：健康信息在躯感网内传输时的安全；健康信息从躯感网传输到社区医疗中心或医院的远程数据库服务器的安全；医护人员和普通用户访问远程数据库服务器获取由躯感网提供的健康信息时此信息从远程数据库服务器传输到对应人员使用的访问终端过程中的安全。本方案的一大特色是使用生理特征产生随机密钥来保证健康信息在传输过程中三个阶段的安全，从而达到节约实现安全的成本和开销。在实验中，我们使用从20个不同的测试对像中采集的心电图作为原始数据，从中提取特征并使用一种新的编码方法产生128位的密钥用于我们提出的方案。统计分析和测试的结果表明使用新方法产生的密钥的随机性比较好，可用于远程医疗和移动健康应用的通信安全。     

The development of a survey instrument for community health improvement

OBJECTIVE: To develop a survey instrument that could be used both to guide and evaluate community health improvement efforts. DATA SOURCES/STUDY SETTING: A randomized telephone survey was administered to a sample of about 250 residents in two communities in Lehigh Valley, Pennsylvania in the fall of 1997. METHODS: The survey instrument was developed by health professionals representing diverse health care organizations. This group worked collaboratively over a period of two years to (1) select a conceptual model of health as a foundation for the survey; (2) review relevant literature to identify indicators that adequately measured the health constructs within the chosen model; (3) develop new indicators where important constructs lacked specific measures; and (4) pilot test the final survey to assess the reliability and validity of the instrument. PRINCIPAL FINDINGS: The Evans and Stoddart Field Model of the Determinants of Health and Well-Being was chosen as the conceptual model within which to develop the survey. The Field Model depicts nine domains important to the origins and production of health and provides a comprehensive framework from which to launch community health improvement efforts. From more than 500 potential indicators we identified 118 survey questions that reflected the multiple determinants of health as conceptualized by this model. Sources from which indicators were selected include the Behavior Risk Factor Surveillance Survey, the National Health Interview Survey, the Consumer Assessment of Health Plans Survey, and the SF-12 Summary Scales. The work group developed 27 new survey questions for constructs for which we could not locate adequate indicators. Twenty-five questions in the final instrument can be compared to nationally published norms or benchmarks. The final instrument was pilot tested in 1997 in two communities. Administration time averaged 22 minutes with a response rate of 66 percent. Reliability of new survey questions was adequate. Face validity was supported by previous findings from qualitative and quantitative studies. CONCLUSIONS: We developed, pilot tested, and validated a survey instrument designed to provide more comprehensive and timely data to communities for community health assessments. This instrument allows communities to identify and measure critical domains of health that have previously not been captured in a single instrument.     

A minimum data set and empirical model for population health status assessment

BACKGROUND: The need to assess the health status of American communities in a comprehensive and systematic manner has been widely acknowledged. This study attempts to empirically derive a minimum core data set of indicators, in order to produce a uniform parsimonious model for population health status monitoring. METHODS: Five years of secondary data (1992-1996) for 113 indicators of community health for each of Florida's 67 counties were organized into 11 conceptual groups. Principal component analysis with orthogonal rotation was conducted separately on each group of indicators for each year. The component scores were converted to standard scores to further study the relationships among the conceptual groups measuring community health. A causal model was hypothesized and tested using ordinary least-squares path analysis. RESULTS: Nineteen principal components composed of 78 indicators were identified. The model demonstrated a large difference in the ability to explain variance in adult mortality (56%) compared with variance associated with adverse birth outcomes (13%). Both demographic and socioenvironmental factors have a direct effect on adult mortality. Socioeconomic factors, on the other hand, influence adult mortality indirectly through adequacy of primary care and other available resources. CONCLUSIONS: Minimum core data sets of indicators drawn from extant databases can be used to uniformly describe and explain variation in adult mortality. This research suggests caution in regard to the creation of integrated indices that combine mortality, morbidity, and other concepts such as quality of life into a single measure of community health. Further validation research employing a national sample of counties is recommended.     

A review of ICT systems for HIV/AIDS and anti-retroviral treatment management in South Africa

Telemedicine and e-health systems have been proposed as a support tool, to monitor and evaluate HIV/AIDS management strategies. The aim of the present study was to provide an overview of telemedicine and e-health systems for HIV/AIDS in South Africa as a basis for developing an e-health toolkit for anti-retroviral treatment (ART). An initial literature review and a subsequent interactive networking approach were chosen to identify telemedicine and e-health systems, projects and services for HIV/AIDS and ART facilities in low-resource settings and under-served areas. The literature review produced little useful information. In contrast, the face-to-face interviews and the focus group discussions provided useful information about projects and systems which had not been published. The meetings involved 1 - 5 people per session, about 30 people in total. The review showed that there were some plans for telemedicine and e-health implementation in South Africa. However, there was no all-inclusive ICT-based system in place for AIDS treatment there. With the exception of the major health information systems and electronic patient record systems, none of the telemedicine and e-health systems identified in the review were ready to be deployed across the country as a whole.