Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “Health data integration”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 865 records · Page 48Linked to original sources

Reducing disparity in behavioral health services: a report from the American College of Mental Health Administration.

UNLABELLED: The 2003 AMCHA Summit was an initial step. It served to provide a broad outline of the socio-political context and key issues involved in reducing disparities, and it provided some momentum for change. However, much more work remains to be done. The summit clearly demonstrated that the reduction of disparities requires a multi-level approach and multi-disciplinary leaders. As a neutral convener, AMCHA is in a unique position to help advance the debate and lead the field. The membership includes researchers, administrators, clinicians, and policy makers from all levels of the behavioral health system. As noted, a change agenda needs to include efforts at national, state, and local levels involving consumers, providers, purchasers, oversight organizations, and researchers. ACMHA is committed to advancing the field and helping the national effort to reduce disparities. Examples of potential projects include the following: Training: Much has been done to develop effective cultural-competency training modules and to guide states in its implementation. No one should reinvent the wheel at this time. Funding should be targeted to provide incentives to states for dissemination of existing training curricula and the documentation of effectiveness to all providers and administrators. DATA: Nationally, the field will benefit from data standards for the collection of and reporting on system disparities. This will facilitate interstate comparisons and provide baseline data for change efforts. Conducting surveys of providers, health plans, and public behavioral health systems on the availability and current uses of data by race and ethnicity is one example of a useful first step in this process of setting data standards. RESEARCH: Further research on the nature and causes of disparity is needed. There should be systematic research on factors influencing access, treatment, and outcomes for people of different cultures. Initially, because of the difficulties in deciding on standardized outcome measures, the encounter and claims data will provide the most useful information for analysis. Later, as standardized outcome measures are more widely utilized and the data collected, it may be possible to look for racial and ethnic differences in outcomes. The research agenda needs to be developed with a focus on services and health systems research data. Demonstrations: Demonstration efforts are urgently needed, similar to Connecticut's initiative, that integrate data on disparities with provider reporting, performance contracting, and system-wide interventions. These best practices need to be shared with the field. Coordination: The Summit showed that many are eager to learn from others in this area. As we move from further research to demonstration initiatives, AMCHA can play a role in coordinating these projects, particularly at the state and perhaps local levels. State efforts can benefit from best-practice presentations from other states and by an improved understanding of the nature and scope of the change required at a programmatic and local level. Local efforts need to clearly incorporate the views and perspectives of members of the community and consumers. The 2003 ACMHA Summit provided a foundation and a framework for work to proceed at all levels of the behavioral health delivery system. To accomplish meaningful change, we challenge SAMHSA, and the other federal agencies to provide the leadership to (1) develop common and core-performance measures focused on the reduction of disparities, (2) coordinate the research agenda, and (3) facilitate the use of new information technologies to collect and review these data. This is completely consistent with the vision of federal "leadership by example" that has been outlined by the Institute of Medicine (2003b) for the implementation of the "Crossing the Quality Chasm" report. We need to facilitate the efforts of the states and the federal government to identify and reduce disparities and provide a forum for states to share the results of their efforts, to benchmark their performance, and seek technical assistance. Over the next several years, we also expect that states will expand their efforts to implement evidence-based practices. However, we urge these states to implement existing evidence-based practices cautiously, especially with culturally diverse populations, due to the limited representation of ethnically diverse subjects in the research evidence on current practices. We strongly recommend collecting data on practice-based evidence-where effective interventions are routinely identified from existing practice and shared with the field, particularly those practices that seem effective with minority populations.

California↗

Measures of functional status and quality of life in chronic obstructive pulmonary disease.

A variety of studies exist as to methods of assessing quality of life in chronic obstructive pulmonary disease. Neither the American Thoracic Society nor the European Consensus Statement for COPD recommend any specific quality-of-life or functional assessment measure as a gold standard. The present study identifies measures of COPD quality of life and functional status reported in selected literature in 1994-1997. A total of 37 measures were identified; of these eight were measures of general health, 10 were COPD/disease-specific questionnaires, and 19 were functional status indices. These measures provide valuable data, and further study is necessary to determine which measures should be integrated into standards of care.

Attitude to Health↗

Participatory development of a minimum dataset for the Khayelitsha district.

BACKGROUND: Traditional 'data-led' information systems have created excessive amounts of poor-quality and poorly utilised data. The Health Information Systems Pilot Project (HISPP), a Western Cape project that started in 1996, initiated a process in one of its three pilot sites to model an alternative approach to developing a district health information system. OBJECTIVE: To develop a minimum dataset for Khayelitsha as part of an action-led district health and management information system in a participatory 'bottom-up' process. METHOD: The HISPP, in conjunction with health workers in the proposed Khayelitsha district, developed a minimum dataset through a process of defining local goals, targets and indicators. This dataset was integrated with data requirements at regional and provincial levels. RESULTS: A minimum dataset was produced that defined all the data needed according to the frequency of reporting and the level at which it was required. CONCLUSION: The HISPP has demonstrated an alternative model for defining health information needs at district level. This participatory process has enabled health workers to appraise their own information needs critically and has encouraged local use of information for planning and action.

Adult↗

Analytical resources for assessment of clinical genetics services in public health: current status and future prospects.

CONTEXT: Genetics services are not well integrated into the public health programs of most states, nor has there been effective use of clinical and program databases in the design, evaluation, and monitoring of public health genetics services at the state level. OBJECTIVE: To evaluate the availability and current use of population-based clinical genetics databases, including birth defects surveillance programs, in state-level public health genetics programs. DESIGN: Mail survey to state genetics coordinators in 50 states and 3 territories during 1996 with an update in 1997. RESULTS: Thirty states had birth defects surveillance programs; data from these resources were used in public health genetics program planning and management in only 15 states. Thirty states or territories had clinical genetics services databases. Most states had newborn screening program databases; few linked these records to vital statistics for programmatic purposes. Only 24 states had individual record databases for the Children with Special Health Care Needs program; 8 states had databases for maternal serum alpha-fetoprotein screening, and 7 had statewide cytogenetics registries. CONCLUSION: Population-based databases concerning aspects of public health genetics are largely unavailable at the state level. Where these databases exist, they are poorly integrated into state public health genetics program activities. More attention should be paid to the development and use of clinical data programs for the assessment, monitoring, and assurance of genetics issues with relevance to population health.

Child↗

Is there a relationship between service integration and differentiation and patient outcomes?

OBJECTIVE: To examine the level of service integration within Maryland hospitals and service differentiation across the hospital system or network and its affect on heart failure patient clinical and economic outcomes. DATA SOURCES/STUDY SETTING: Maryland Health Services Cost Review Commission Inpatient Data for 1997 and 1998 were used for secondary data analysis. STUDY DESIGN: Retrospective cross sectional. Independent variables were the level of service integration and differentiation created from the 1998 American Hospital Association Annual Survey based on the work of Bazzoli et al. The primary dependent variables were readmission, in-hospital mortality, length of stay and costs. DATA COLLECTION/EXTRACTION METHODS: Patients discharged from Maryland hospitals with a diagnosis that grouped to DRG 127 (heart failure) were extracted. Multivariate linear and logistic models clustered by hospital were used to analyse results at the patient level. PRINCIPAL FINDINGS: A higher likelihood of readmission was found as the level of Community Differentiation increased. Although costs were higher as Total Differentiation increased in 1998, these results were not validated by 1997 data. No significant relationship was found between integration of services and outcomes. CONCLUSIONS: Similar outcomes were achieved regardless of the level of service integration or differentiation. Community hospitals produce similar patient outcomes at the same cost for this diagnosis.

Journal Article↗

Sexually transmitted diseases in the elderly--issues and recommendations.

The incidence of sexually transmitted disease (STD) in the elderly population is significant for both newly acquired disease and for residual complications from preceding infections. Every health-care practitioner needs to assume responsibility for the primary prevention of STDs, which focuses on avoiding infection. Primary health education is imperative in the presence of an escalation of sexually transmitted infection for which there is no known curative therapy. The sexual history is an integral component of the routine data base for all geriatric patients. Diagnosis of AIDS in the generally low risk elderly population may be unexpected. Health-care practitioners must be aware of its many forms of presentation.

Aged↗

[Cost-effectiveness--limits between optimization and rationing].

Although rationing is an important feature in the German health care system, this topic is not discussed in an explicit and structured way. Currently, most rationing decisions are not based on systematic data on costs and outcomes of diseases and medical interventions. A major task of future research will be to provide health policy makers with data on direct costs, indirect costs, effectiveness, and utility of medical interventions and to integrate these data into decision analysis models. Interdisciplinary work-groups should be set up, combining clinical and economic knowledge. On the other hand, official grants are needed to perform unbiased research in this field covering the various areas of medical care.

Cost-Benefit Analysis↗

Developing the construct of role integration: a narrative analysis of women clerical workers' daily lives.

There is a gap in nurses' knowledge about how women integrate their multiple roles on a daily basis amidst the economic, social, political, and cultural contingencies of their environments. Quantitative results from a triangulated study of work, maternal, and spousal role experiences of 87 women clerical workers from five ethnic/racial groups indicated that role integration was important in predicting health outcomes. This prior work is extended in this article with an indepth secondary analysis of the qualitative interview data from the same study to develop a theoretical understanding of the construct of role integration. Using techniques of narrative analysis, a theoretical framework was derived to identify and relate aspects, processes, and patterns of role integration as they are experienced in women's everyday lives. Concepts are identified, defined, and visually represented, propositions are elaborated, and implications for further research and practice are suggested.

Adaptation, Psychological↗

Bayesian analysis, pattern analysis, and data mining in health care.

PURPOSE OF REVIEW: To discuss the current role of data mining and Bayesian methods in biomedicine and heath care, in particular critical care. RECENT FINDINGS: Bayesian networks and other probabilistic graphical models are beginning to emerge as methods for discovering patterns in biomedical data and also as a basis for the representation of the uncertainties underlying clinical decision-making. At the same time, techniques from machine learning are being used to solve biomedical and health-care problems. SUMMARY: With the increasing availability of biomedical and health-care data with a wide range of characteristics there is an increasing need to use methods which allow modeling the uncertainties that come with the problem, are capable of dealing with missing data, allow integrating data from various sources, explicitly indicate statistical dependence and independence, and allow integrating biomedical and clinical background knowledge. These requirements have given rise to an influx of new methods into the field of data analysis in health care, in particular from the fields of machine learning and probabilistic graphical models.

Bayes Theorem↗

Clozapine for refractory schizophrenia: the Illinois experience.

Based upon the Illinois Department of Mental Health and Developmental Disabilities' computerized clinical information system, with its integration of client-specific clinical data, a 5-year retrospective study was designed to determine the clinical effectiveness and economic impact of the use of clozapine for treatment-resistant schizophrenia. The study sample consisted of 518 hospitalized, treatment-resistant patients. At the end of 5 years, 78% were well maintained on clozapine. Two hundred forty-three patients had been discharged to the community, and 62 had been transferred for treatment of medical or surgical problems. Clozapine treatment was discontinued in 115 patients (22%). The drug was well tolerated, with a very low incidence of agranulocytosis. Cost savings resulting from the discharge of the 243 clozapine-treated patients amounts to approximately $20 million per year. A disease management algorithm has been developed allowing physicians to begin clozapine treatment for patients not successfully treated with 2 prior antipsychotic agents. Adherence to this protocol throughout the state's mental health system would result in even greater savings.

Adult↗

Effectively utilizing device maintenance data to optimize a medical device maintenance program.

Methods developed by the clinical engineering community and the principles outlined by ISO regulations for the application of risk management to medical devices were integrated to provide a basis for the unique optimization system implemented into the University Health Network medical device maintenance program. Device maintenance history data stored in the database is used to conduct a risk analysis and to compute predefined benchmarks to highlight groups of equipment for which the current maintenance regime is not optimal. Using a software data research tool we are able to investigate device history data and support alterations in maintenance intervals, user training, maintenance procedures, and/or device purchasing. These alterations are justified, documented, and monitored for risk in a continuous management cycle. The predicted benefits are an overall improvement in the reliability of the devices maintained, coupled with a drop in repetitive device checks that result in no measurable benefits.

Electronic Data Processing↗

Wisconsin's environmental public health tracking network: information systems design for childhood cancer surveillance.

In this article we describe the development of an information system for environmental childhood cancer surveillance. The Wisconsin Cancer Registry annually receives more than 25,000 incident case reports. Approximately 269 cases per year involve children. Over time, there has been considerable community interest in understanding the role the environment plays as a cause of these cancer cases. Wisconsin's Public Health Information Network (WI-PHIN) is a robust web portal integrating both Health Alert Network and National Electronic Disease Surveillance System components. WI-PHIN is the information technology platform for all public health surveillance programs. Functions include the secure, automated exchange of cancer case data between public health-based and hospital-based cancer registrars; web-based supplemental data entry for environmental exposure confirmation and hypothesis testing; automated data analysis, visualization, and exposure-outcome record linkage; directories of public health and clinical personnel for role-based access control of sensitive surveillance information; public health information dissemination and alerting; and information technology security and critical infrastructure protection. For hypothesis generation, cancer case data are sent electronically to WI-PHIN and populate the integrated data repository. Environmental data are linked and the exposure-disease relationships are explored using statistical tools for ecologic exposure risk assessment. For hypothesis testing, case-control interviews collect exposure histories, including parental employment and residential histories. This information technology approach can thus serve as the basis for building a comprehensive system to assess environmental cancer etiology.

Automation↗

Data base management system for tracking occupational health.

An Occupational Health Information System (OHIS), a data base management system for tracking occupational health, has been developed. A primary feature is its ability to correlate employee workplace environment with health. Hardware implementation of OHIS is on a minicomputer with application programs written in ANSI standard MUMPS language. OHIS integrates personnel, medical and industrial hygiene/toxicology information into one data base. The personnel module is comprised of demographic information collected and updated by the personnel department. The medical module utilizes an interactive video display terminal (VDT)-driven questionnaire and multiphasic testing subsystems which are accessed selectively by authorized users. The backbone of OHIS is a parameter dictionary of all possible data elements. A final medical report includes a medical history summary, physical findings and X-ray interpretation, highlighted and normal test findings, computer interpretations, and a final one-page summary of problem and health-risk information. Information characterizing the workplace environment is captured and reported by the questionnaire subsystem. This questionnaire is designed to define: 1) monitoring conditions, 2) sample analysis, 3) measurement results, and 4) personal protective equipment used. These data provide a means of assigning environmental exposure measurements to appropriate employees.

Adult↗

An integrated analysis of health facilities in the nine provinces of South Africa.

The development of a comprehensive national health plan must take into account an analysis of the provision and distribution of health facilities. This study collected and verified data from a number of different sources, on the number and types of hospital beds, the number of fixed clinics, and the population sizes in each of the nine new provinces of South Africa. A comprehensive database of these figures was compiled for the years 1988 and 1993. Integrated analyses were made of the distribution and types of health facilities in South Africa by using population/facility ratios. Notable disparities were found to exist between provinces in the total (public and private) distribution of hospital beds per 1,000 population, but the distribution of acute hospital beds between provinces is more even. In provinces where there is more than one medical school, there is a marked imbalance between the levels of care, with greater emphasis placed on tertiary care, at the expense of the secondary level. Given the World Health Organisation recommendation of 10,000 people per clinic, there is a shortfall in most provinces. Recommendations are made with regard to the rationalisation of academic and referral beds, and the factors to be considered in the addressing of shortages of clinic facilities. However, the limitations of a resource-based planning approach must be recognised, and it is recommended that comprehensive analyses be carried out at regional and sub-regional levels to determine the appropriate delivery of health care.

Health Facilities↗

An application of statistical matching with the survey of income and education and the 1976 Health Interview Survey.

This article outlines an alternative procedure to household surveys for obtaining individual observation-level data. The procedure, called statistical matching, integrates data on an individual observation from one source with data on a different observation identified as the "best matching" or "most similar" record from a second source. The best match is determined by objective statistical criteria. Also reported is a significant application of the procedure between the Survey of Income and Education and the 1976 National Health Interview Survey. The success of merging these two large, nationally representative data files shows statistical matching as a viable method of creating databases for health services research.

Adolescent↗

An action research approach to workplace health: integrating methods.

Action research, which combines the generation and testing of theory with social system change, demands multiple sources of knowledge about the research setting and encourages the integration of data collection techniques. This article describes the implementation of a longitudinal multi-methodological research and intervention project aimed both at examining the relationship between occupational stress and psychosocial moderating factors (e.g., social support, participation, and influence over decision-making) and health outcomes; and reducing work stress and improving employee health. Combining qualitative and quantitative research techniques such as semi-structured individual and focus group interviews, field notes and survey data increases confidence in research findings and strengthens the process and outcomes of needs assessment, program planning, implementation, and evaluation. Specific examples are provided that illustrate the usefulness of this approach in identifying and understanding problem areas and in developing and evaluating appropriate health education interventions.

Bias↗

Using online analytical processing to manage emergency department operations.

The emergency department (ED) is a unique setting in which to explore and evaluate the utility of information technology to improve health care operations. A potentially useful software tool in managing this complex environment is online analytical processing (OLAP). An OLAP system has the ability to provide managers, providers, and researchers with the necessary information to make decisions quickly and effectively by allowing them to examine patterns and trends in operations and patient flow. OLAP software quickly summarizes and processes data acquired from a variety of data sources, including computerized ED tracking systems. It allows the user to form a comprehensive picture of the ED from both system-wide and patient-specific perspectives and to interactively view the data using an approach that meets his or her needs. This article describes OLAP software tools and provides examples of potential OLAP applications for care improvement projects, primarily from the perspective of the ED. While OLAP is clearly a helpful tool in the ED, it is far more useful when integrated into the larger continuum of health information systems across a hospital or health care delivery system.

Decision Support Systems, Clinical↗

The struggle for social integration in the community--the experiences of people with mental health problems.

The goal of social integration is part of the ideological motivation behind the transition from institutionalized to decentralized psychiatry. Modern community mental health care considers social integration as vital for improving mental health. However, reports suggest that efforts to socially integrate people who suffer from mental health problems have not been as successful as anticipated. The aim of this study was to explore how people with mental health problems experience their ability to integrate socially into a community in central Norway. Three multistage focus groups, consisting of 17 people with mental health problems, were set up in two counties of different sizes. In this explorative study, data were analysed using a qualitative content analysis method. The participants experienced shame and fear of exclusion in their struggle to become integrated in the community. They had a sense of loneliness, had to struggle for equality and experienced being neglected. The days passed very slowly and they reported a lack of financial resources. They wanted to work or take part in other daytime activities and sought reciprocal relationships. In conclusion, those working in community mental health care need to ensure that people suffering from mental health problems experience a sense of belonging in the community, thus enabling them to develop a network and achieve social integration.

Adult↗