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Data Collection↗

Banking on bonuses.

Performance incentives cover a wider--and deeper--swath of health care than ever, according to the latest Hay Group surveys. Yet it's clear that most organizations are homegrowing compensation strategies that blend base and incentive pay into a cohesive package.

Data Collection↗

Artificial Intelligence in Predicting Systemic Complications From Retinal Findings: A New Frontier in Precision Medicine.

Innovations in retinal imaging technologies and growing evidence from retinal imaging of systemic and neurodegenerative diseases have begun to explore the utility of retinal imaging in diagnosing these conditions. Since the retina shares embryological origins with the central nervous system and reflects systemic microvascular characteristics, it is well positioned for noninvasive observation of patients' systemic and neural health. Moreover, accessibility of retinal imaging has improved with the increasing number of ophthalmology clinics. Rapid improvements in various deep learning (DL) tools have also catalyzed the automation of retinal imaging analysis. Systems that utilize DL for retinal imaging are being developed to assist with disease recognition, clinical judgment, and prognostic assessment of systemic health. Various imaging modalities are being integrated with existing genomic and clinical data to estimate an individual's predisposition to certain conditions. Contrary to many existing reviews, the objective of this review is to synthesize the most recent clinical and technological evidence on DL-based diagnostic systems for retinal imaging, with a focus on how different network architectures and their combinations have been developed, validated, and applied across systemic disease detection and prediction. Specifically, this review examines the datasets, model validation approaches, and automated diagnostic systems reported in recent literature. It discusses the extent to which these advancements address existing barriers toward real-time diagnostic application across clinical disciplines. Integrating retinal imaging with DL is an innovative and promising approach to precision medicine and health risk reduction.

artificial intelligence↗

What patients and carers want to know: an exploration of information and resource needs in adult mental health services.

OBJECTIVE: The objectives of this study were to: (i) obtain baseline data on the extent of carer involvement across a representative sample of hospital and community patients within an integrated area health service; and (ii) examine perspectives on discharge planning and community care among patients and their carers to identify information and resources they consider important. METHOD: Over a 4-month period, inpatients before discharge and patients accessing community mental health services participated in face-to-face interviews. Information was collected about carer involvement and, with the patient's consent, the identified carer was sent a similar survey to determine demographics and information needs. This resulted in a representative sample of patients and carers accessing inpatient and community settings across a metropolitan mental health service. Support needs and carer burden were also assessed but are not reported here. RESULTS: A total of 407 interviews were completed, 207 in inpatient settings and 200 in the community. An inpatient response rate of 70% and a community response rate of 75% was achieved. Across both settings, 67% of patients identified a carer and a carer response rate of 28% was then obtained. We found carers and patients have different priorities regarding the information they want and information is often not provided to carers. Furthermore, patients were more confident in their ability to manage their mental health in the community than carers. CONCLUSIONS: This study yielded important baseline data about the number of patients who have a carer. We were also able to determine that routine clinical information provided to patients and carers is inadequate from their perspective. It is anticipated that this initiative will assist ongoing service planning and improve partnerships with patients and their carers.

Adult↗

[A general measure of well-being: outline of a quantitative approach].

This article deals with the empirical study of well-being. We made an inventory of the research literature, while establishing an overview of the different possible approaches. First, there seems to exist a variety of viewpoints on the subject of study. It is possible to either focus on the situation at a precise moment and observe the living conditions existing at that moment (housing, employment, etc.); or at the presence of sources one can have for modelling the own living conditions (such as income, level of education, etc.). Apart from these studies looking at the situation at a given moment, certain authors are interested in the events occurring in the course of an elapsed period of time (such as a relocation of residence, or a change in employment). In addition to this diversity in the central object of investigation, the researcher has the choice of processing objective and/or subjective data. In this article, we attempt to develop an index of well-being for the Belgian population, following the "living conditions" approach, while using only objective data from a vast sample of individuals and Belgian families. The index presented here therefore constitutes a specific combination of diverse data. These were chosen from indications in the literature concerning the nature and the elements of "well-being", and the characteristics of the available data base. The "fields" integrated into the index are: housing, state of health, social participation and sociability. The established index offers a synthetic instrument from which people can be classified according to the overall measure of their situation in diverse areas of life. This overall view shows that a large majority of Belgians find themselves with average to very positive overall living conditions, while a limited minority is situated below, accumulating negative scores in several areas of life. Another application of this instrument deals with the comparison of the overall profile of specific groups. Such comparisons are developed in this article between groups with diverse demographic, socio-economic and geographic characteristics. Complementary to this development and this application of the objective index, we separately explored the subjective data from the same sample for the level of satisfaction of the respondents and for their experience with diverse emotions. The comparison of this subjective information with the index of objective information shows that, although there is a link between these two phenomena, the correlation remains limited.

Activities of Daily Living↗

Causes and outcome of young infant admissions to a Kenyan district hospital.

AIMS: To provide a comprehensive description of young infant admissions to a first referral level health facility in Kenya. These data, currently lacking, are important given present efforts to standardise their care through the integrated management of childhood illness (IMCI) and for prioritising both health care provision and disease prevention strategies. METHODS: Prospective, 18 month observational study in a Kenyan district hospital of all admissions less than 3 months of age to the paediatric ward. RESULTS: A total of 1080 infants were studied. Mortality was 18% overall, though in those aged 0-7 days it was 34%. Within two months of discharge a further 5% of infants aged <60 days on admission had died. Severe infection and prematurity together accounted for 57% of inpatient deaths in those aged <60 days, while jaundice and tetanus accounted for another 27%. S pneumoniae, group B streptococcus, E coli, and Klebsiella spp. were the most common causes of invasive bacterial disease. Hypoxaemia, hypoglycaemia, and an inability to feed were each present in more than 20% of infants aged 0-7 days. Both hypoxaemia and the inability to feed were associated with inpatient death (OR 3.8 (95% CI 2.5 to 5.8) and 7.4 (95% CI 4.8 to 11.2) respectively). CONCLUSIONS: Young infants contribute substantially to paediatric inpatient mortality at the first referral level, highlighting the need both for basic supportive care facilities and improved disease prevention strategies.

Bacterial Infections↗

Workplace tobacco interventions.

Health promotion programs are becoming an integral part of work site activities. Recent data from Indiana businesses suggest that smoking is a leading concern. An objective has been adopted by the Indiana Chamber of Commerce that states that the number of employers with work site smoking cessation policies should increase. Smoking control and cessation programs implemented in industry have contributed to a decrease in the number of smokers and in the health risks of nonsmokers exposed to environmental tobacco smoke. This report describes the effectiveness of work site smoking control programs.

Health Promotion↗

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but also for other non-communicable diseases (NCDs) such as cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), osteoporosis, and diabetes. The MULTIPREVENT project aims to validate whether low-dose computed tomography (LDCT) of the chest, combined with simple biomarkers, functional tests, and genomic profiling, can serve as an effective tool for comprehensive health assessment and risk prediction of multimorbidity in adults. STUDY DESIGN: The study is based on a prospective epidemiological design involving 3000 participants from the MOLTEST-BIS lung cancer screening cohort (2016-2018). These participants, aged 50-79 years (during MOLTEST-BIS) and with a smoking history of at least 30 pack-years, will undergo two follow-up assessments in 2025-2027 and 2030-2032. METHODS: Each follow-up includes LDCT, spirometry, standardized blood pressure measurement, anthropometric evaluation, biomarker assessment (lipid profile, lipoprotein(a), glycated haemoglobin), and health-related questionnaires. Genetic profiling will be performed using the Illumina Infinium Global Screening Arrays approach to identify inherited predispositions to major NCDs. All data, clinical, imaging (including radiomics), molecular, and genetic, will be integrated through machine learning algorithms to develop AI-based risk prediction models. RESULTS: The MULTIPREVENT study is expected to generate a wide range of scientific, clinical, and infrastructural results that will serve as a foundation for future public health initiatives in integrated prevention. CONCLUSIONS: By linking imaging and biochemical markers, genetic susceptibility, and clinical parameters within a longitudinal design, MULTIPREVENT will establish data-driven, AI-supported prevention strategies aimed at reducing morbidity and mortality among adults exposed to tobacco. The project will also serve as a model for population-based multimorbidity prevention programs.

Humans↗

Utilization of mental health services by low-income pregnant and postpartum women on medical assistance.

This paper examines mental health service use among publicly insured white and African-American pregnant and postpartum women who live in a metropolitan area. The study examines the extent to which ethnicity, physical health problems, and behavioral health risk factors are associated with the probability of service use during the prenatal-postpartum period. It also analyzes the patterns of service utilization for those women who used mental health services. Medicaid claims and eligibility data, County Reporting System claims and admissions data, and Pennsylvania State Vital Birth Records were integrated using a unique algorithm. Logistic regression was employed to estimate the probability of mental health service use among 3,841 low-income women residing in Philadelphia who were continuously enrolled in Medicaid for 9 months preceding delivery and 6 months postpartum. Analyses were also conducted on the intensity and location of service use, as well as psychiatric diagnosis, during pregnancy and the postpartum period. About 10% of the women used mental health services during the study period. Women were more likely to use services if they were Caucasian, had a number of chronic diseases, had a number of pregnancy complications, and smoked. Among users, the same proportion (ca. 6%) used services during pregnancy and postpartum, with the average number of outpatient visits slightly higher during pregnancy than during the postpartum period. Most outpatient services (86%) were delivered in the specialty sector. Most women who used mental health services (84%) were diagnosed with minor psychiatric disorders including minor depression and anxiety disorders. Women who used services during the postpartum only were more likely to be diagnosed with major depression, whereas women who used services throughout the perinatal period were more likely to be diagnosed with severe mental disorders. Health providers can use information generated in this study to identify women who are likely to have a need for mental health services.

Adolescent↗

Using surveys for management and measurement of health in developing countries.

National household surveys have been a basic statistical feature for many decades in the industrialized countries and more recently in the developing world. This paper deals with the potential of national household surveys for obtaining health information in developing countries. In this regard the United Nations National Household Survey Capability Programme (NHSCP) aims at collaborating with developing countries to establish a continuing flow of integrated statistics.

Data Collection↗

Clinical patient management and the integrated health information system.

Emerging progress in clinical applications of patient care computing is identified. The essential clinical skill is understanding what data are appropriate in any given patient care situation and extracting enough information to make the correct management decision. The value of the computer has less to do with the internal intellectual process of diagnosis than its contribution to the more manifest actions in support of clinical patient management. Techniques with which the computer is assisting in improving the clinical decisionmaking process are reviewed, and a mechanism to link them to active patient care settings is described. In addition, a trend toward the integration of various independent subsystems, so that expensive resources can be optimized for patient needs, is noted.

Computers↗

[From the Natanyahu State Commission to management tasks in the Israeli health system].

BACKGROUND: Ben-Gurion University (BGU) in Beer Sheva inaugurated a special training program for junior academic administrative personnel to improve the quality of service in health care organizations through suitable and high-quality administration. The program, the first of its kind in Israel, has been in operation since 1994 and prepares 50 candidates annually for administrative positions within the health system, or a total of 224 graduates to date. The program was founded on the recommendations of a state commission established in 1990 and headed by retired Supreme Court Justice Shoshana Natanyahu (The Natanyahu Commission, 1990). The commission was appointed to examine the performance of the health system in Israel and recommend reforms and changes that would improve the quality and efficiency of health services and the overall performance of the system. AIM: This study examined the integration of graduates of the undergraduate program in Health Systems Management (HSM) within the private and public health system in Israel, including employment trends and a retrospective evaluation of the program. METHODS: Within the framework of the study, questionnaires were sent to all graduates of the program. Participants were requested to answer questions regarding their present place of employment, their satisfaction with their academic degree, how they found employment, and so forth. RESULTS: The research results show that 59% of the graduates of the HSM department at BGU who responded to the questionnaire, worked in the health system upon completion of their studies, and in 2002--at the time of the survey--42% of all graduates were currently employed within the health system. Most of the graduates who entered the system and remained within the system, were women: out of 46 graduates working in the health system today, 38 (83%) are women. It should be noted that while there is some migration of graduates to work in other systems and sectors of the economy, 78% of the respondents believe that the degree program in HSM is justified. Apparently, according to the study, although the health system needs graduates, it does not always know how, or does not always want to or finds difficulty in absorbing the graduates and effectively utilizing their skills to meet the needs of the system. CONCLUSIONS: The data reveals that graduates of the undergraduate program in HSM have integrated well into the health system, but not as well as may have been expected. The graduates encountered difficulties in their absorption into management roles in the public health system and felt that the extent of their abilities has yet to be fully recognized and utilized by the system.

Delivery of Health Care↗