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At least 289 records · Page 16Linked to original sources
PubMed2003

Denver Health: a model for the integration of a public hospital and community health centers.

Two major pillars of the United States' safety net system are urban public hospitals and community health centers. Their common mission is to care for the uninsured and other vulnerable populations. However, in most communities these important components of the safety net remain organizationally and functionally separate, which inhibits the continuum of care and creates substantial inefficiencies. Denver Health is a long-standing vertically and horizontally integrated system for vulnerable populations. The integration benefits the patient and the system and serves as a model for the U.S. safety net. This paper outlines the benefits of integration to the patient, provider, and health system, using data from the National Association of Public Hospitals and Health Systems, the Bureau of Primary Health Care, and Denver Health.

Colorado↗
PubMed2002

Introducing an academic data warehouse into the undergraduate medical curriculum.

There is increasing interest in integrating population health and informatics topics into the undergraduate medical curriculum, yet little consensus exists on the most effective approach to accomplish this. We introduced the use of an academic data warehouse of encrypted patient information into an existing 2nd year medical school course. Exercises were developed requiring students to retrieve and interpret information regarding local disease prevalence, practice patterns, and patient characteristics. These exercises were integrated into existing weekly problem sets in a multiple-choice format. Faculty and student perceptions were assessed with surveys, and augmented with interviews of student volunteers, and database usage statistics. Our results indicate widespread agreement among both students and faculty that population-based medicine warrants inclusion in undergraduate medical education. The majority of the students felt the exercises complemented the clinical cases around which they were structured. There was less agreement, however, that the exercises were valuable, with several students suggesting a more open-ended, discussion-oriented approach. It was clear that faculty perceptions had a significant impact on student reactions.

Attitude to Computers↗
PubMedDate not supplied

[Linkage of environmental and health data: health risk analysis of the Rio de Janeiro water supply by using geographical information systems].

Exposure assessment of population groups is based on linkage of environmental and health data. This relationship can be hard to establish due to spatial and temporal lags in data sets. Environmental data generally refer to scattered sampling points, while epidemiological data integrate periods of time within administrative territories. GIS can be used as a basis for organizing health-related and environmental data sets. We examined potential health risk in the Rio de Janeiro city water supply based on the overlay of information layers containing data on the presence and quality of water supply services. We used census tracts as the primary georeferenced data, since they contain information on how households are supplied, water supply pipes, sources, and reservoirs, and water quality according to the monitoring program. Population groups exposed to risks were located and quantified using spatial operations among these layers and adopting different risk criteria. The main problems related to water supply are located on the northern slope of the Tijuca Mountain Range (involving the absence or poor quality of water) and in the western area of the city of Rio, where the population relies on alternative water supply sources. The different origins, objectives, and structures of data have to be analyzed critically, and GIS can be used as a data validation tool as well as an instrument for detailed identification of inconsistencies.

Brazil↗
PubMedDate not supplied

Assessing the extent of integration achieved through physician-hospital arrangements.

In this article we examine management service organizations (MSOs), physician-hospital organizations (PHOs), hospital-affiliated independent practice associations (IPAs), and hospital-sponsored "group practices without walls" (GPWWs) that allow physicians to retain their practices and link hospitals and health systems to physicians through contractual arrangements. Also examined were medical foundations (MFs), integrated salary models (ISMs), and integrated health organizations (IHOs) that own the physical assets of physician practices and contract with payors for physician and hospital services. The research provides several new insights for understanding the structure and process of physician-hospital integration. It was found that the extent of processual integration in physician-hospital organizational arrangements can be measured along six dimensions: administrative and practice management services; physician financial risk-sharing; joint ventures to create new services; computer linkages; physician involvement in strategic planning; and salaried physician arrangements. These dimensions are consistent with the conceptual and empirical dimensions developed by others. These findings refute the notion raised by some industry observers that the new physician-hospital organizational models simply formalize integrative activities already in place. Earlier studies from the 1980s reported that hospitals integrated physicians through involvement in governance, capital planning, and the provision of practice management services. In contrast, we found that current integration.

American Hospital Association↗
PubMed1999

Oral health services in primary care nursing centers: opportunities for dental hygiene and nursing collaboration.

PURPOSE: The basic oral health needs of more than 100 million Americans are not being met, which places them at an increased risk for serious oral and systemic health consequences. Primary care nursing centers, a comparatively new method of health care delivery, provide health care screening, education, and referral services to person typically underserved in the traditional health care delivery system. Primary care nursing centers were surveyed to determine to what extent they provide oral health screening, education, and referral services for clients, and to identify factors that discourage and encourage the integration of these services. METHODS: Nurses from 158 primary care nursing centers in the United States made up the study population. Data were collected using a self-administered questionnaire. Data from 59 primary care nursing centers were analyzed using frequency distributions and measures of central tendency. RESULTS: Almost half of the responding nurses at primary care nursing centers "almost always" screen their clients for gum infections (49%) and oral lesions (48%). Fewer teach their clients how to perform oral cancer self-examinations (20%); or educate them regarding use of athletic mouth protectors (15%), the effects of xerostomia (19%), and the benefits of fluoride (38%). The majority do not always refer clients needing treatment for dental decay (55%), gum infections (61%), missing teeth (80%), oral lesions (67%), oral pain (64%), or oral trauma (65%). Lack of referral sources (64%) and unavailability of oral health professionals to provide on site basic oral health services (63%) were the leading factors that discourage the integration of oral health services in the centers. An appreciation for the benefits of oral health (73%) and a knowledgeable clinician to perform oral health services (68%) were the leading factors that encourage the integration of oral health services into primary care nursing centers. CONCLUSION: These data could be useful in planning, implementing, and evaluating more effective and efficient methods for channeling basic oral health services to the public. The data provide support for the collaborative efforts by dental hygienists and nurses to expand oral health services beyond the confines of the current dental care delivery system.

Community Health Centers↗
PubMed2026

The Role of Artificial Intelligence for Intimate Partner Violence Prevention: A Systematic Review.

INTRODUCTION: Intimate partner violence (IPV), encompassing physical, sexual, emotional and economic abuse, remains a pervasive global health concern. Traditional prevention efforts face obstacles such as underreporting, delayed detection and limited personalised support. Emerging artificial intelligence (AI) approaches offer new opportunities to enhance IPV prevention. AIM: This systematic review maps and synthesises evidence on AI-driven tools in IPV prevention based on studies published between 2004 and 2024. METHODS: Following PRISMA 2020 guidelines and PROSPERO registration, we searched PubMed, Embase, CINAHL, PsycINFO, IEEE Xplore and Web of Science. Eligible studies explicitly evaluated AI technologies targeting IPV prediction, screening, intervention or support delivery. Study quality was appraised using the Mixed Methods Appraisal Tool (MMAT). RESULTS: Of 1304 records initially identified, 41 studies met eligibility criteria. AI applications ranged from machine learning (ML) for risk prediction and natural language processing (NLP) for IPV detection in clinical and social media data, to image analysis for forensic evaluation and chatbot-based support. Predictive modelling demonstrated strong discriminative performance, while NLP-based screening detected IPV with notable sensitivity. Chatbots showed feasibility and user acceptability, but evidence of their direct impact on reducing IPV incidence was limited, with one randomised controlled trial showing a modest reduction. Key challenges identified included algorithmic bias, data privacy risks and barriers to integration across health and social care systems. DISCUSSION: AI-informed interventions show promise for improving IPV detection, risk assessment, and scalable support, but questions remain about long-term effectiveness, ethical fairness, transparency and equitable implementation. Future interdisciplinary research should address these concerns to responsibly deploy AI in IPV prevention. RELEVANCE TO CLINICAL PRACTICE: The findings highlight the importance of trauma-informed, culturally responsive care and provider training in AI applications. Nurse-led innovation and policy advocacy will be crucial for safe, equitable integration of AI in IPV prevention.

Artificial Intelligence↗
PubMed2006

Building community involvement in cross-cultural Indigenous health programs.

OBJECTIVE: To gain preliminary knowledge about issues identified by Native health investigators who would encourage greater community involvement in Indigenous health programs and research in Canada, Pacific Rim, and the United States. DESIGN: A pilot/feasibility study, August 2001-April 2002. SETTING: Indigenous health agencies and institutions in New Zealand, Australia, Canada, and the United States. PARTICIPANTS: Thirty-six health professionals from rural and urban health centers participated, which resulted in 10 group and four individual interviews. Subjects included program managers, clinical physicians, and health researchers. Approximately 58% of the subjects self-identified as Indigenous. RESULTS: Three overarching themes emerged from the interview data: (i) integration of cultural values of family and community into health provision; (ii) emphasis on health education and prevention programs for Indigenous youth; and (iii) indigenous recognition and self-determination in health delivery and research. CONCLUSIONS: To improve and promote community involvement in primary health programs and services for Indigenous people involves a long-term social and political commitment to health protection on a national and an international level, as well as the understanding that research methodologies and health interventions must explicitly involve culturally appropriate values and behaviors that are implemented by Indigenous people.

Australia↗
PubMed2000

Standards and the integrated electronic health care record.

The goal of creating an integrated electronic health care record is within our reach. It will depend chiefly on the creation and adoption of standards for health care data. This article explains why standards development is important, gives examples of the different types of standards relevant to health care, offers examples of data sets used in health care, and, finally, presents examples of standards development organizations that health care supervisors should be familiar with.

Data Collection↗
PubMed1998

Rural models for integrating primary care and mental health services.

This paper presents findings from a study designed to identify and describe models for integrating primary care and mental health services in rural communities. Data were obtained from telephone interviews with staff at rural primary care sites around the country. Findings are based on the responses of 53 primary care organizations in 22 states. The authors identify four integration models--diversification, linkage, referral and enhancement--which appear to exist in combination, rather than as pure types. The proposed analytic framework outlines aspects of integration that are readily amenable to study.

Attitude of Health Personnel↗
PubMed2003

A systems overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II).

The Electronic Surveillance System for the Early Notification of Community-Based Epidemics, or ESSENCE II, uses syndromic and nontraditional health information to provide very early warning of abnormal health conditions in the National Capital Area (NCA). ESSENCE II is being developed for the Department of Defense Global Emerging Infections System and is the only known system to combine both military and civilian health care information for daily outbreak surveillance. The National Capital Area has a complicated, multijurisdictional structure that makes data sharing and integrated regional surveillance challenging. However, the strong military presence in all jurisdictions facilitates the collection of health care information across the region. ESSENCE II integrates clinical and nonclinical human behavior indicators as a means of identifying the abnormality as close to the time of onset of symptoms as possible. Clinical data sets include emergency room syndromes, private practice billing codes grouped into syndromes, and veterinary syndromes. Nonclinical data include absenteeism, nurse hotline calls, prescription medications, and over-the-counter self-medications. Correctly using information marked by varying degrees of uncertainty is one of the more challenging aspects of this program. The data (without personal identifiers) are captured in an electronic format, encrypted, archived, and processed at a secure facility. Aggregated information is then provided to users on secure Web sites. When completed, the system will provide automated capture, archiving, processing, and notification of abnormalities to epidemiologists and analysts. Outbreak detection methods currently include temporal and spatial variations of odds ratios, autoregressive modeling, cumulative summation, matched filter, and scan statistics. Integration of nonuniform data is needed to increase sensitivity and thus enable the earliest notification possible. The performance of various detection techniques was compared using results obtained from the ESSENCE II system.

Bioterrorism↗
PubMedDate not supplied

Peer, family integration and other determinants of cannabis use among teenagers.

Cannabis consumption is on the rise in the French-speaking Community of Belgium, especially among teenagers. The physical and mental harms related to that drug prompted us to search for factors associated with cannabis consumption. The aim of this paper is thus to identify a series of potential predictors of teenager's cannabis use and particularly the influence of peer and family integration. The data analyzed were taken from the 1998 data bank "Health Behavior in School-Aged Children", an international quantitative cross-national study, which takes place every four years. The variables investigated were peer and family integration and the habit of drug consumption (tobacco, alcohol or a narcotic other than cannabis) as potential determinants of the experimentation, current usage of cannabis (at least once a month) and regular usage (at least once a week). Apart from the socio-demographic variables, these predictors were investigated by univariate and multivariate analysis (logistic regression). The analyses covered 744 students in Catholic high schools. Results showed that 30.2% of students had tried to smoke cannabis and 50% of them continued to smoke it at least during the previous month. Age, number of income in the family, strong peer group integration [OR 7.7; CI 95% (3.5;17.3)] and drug-consumption habit [for example, tobacco use: OR 7.4; CI 95% (4.8;11.32)] were associated with cannabis experimentation. Age, gender, nationality, average family integration [OR 2.13; CI 95% (1.1;4.1)] and other drugs use as addiction to nicotine [OR 9.5; CI 95% (5.6;16.3)] determined the current consumption of the substance. Preventive action should aim at improving the teenager's integration into the family circle in order to prevent the trial and consumption of cannabis. In addition, prevention should include the consumption of (addictive) substances in general.

Adolescent↗
PubMed1997

Homicide rates among Native American children: the status integration hypothesis.

An analysis of data for all twelve U.S. Indian Health Service areas yielded a positive Spearman's correlation coefficient for the percentage of Native American females in the labor force and the homicide rates per 100,000 population for Native American children (1 month to 14 years), supporting the hypothesis of status integration.

Acculturation↗