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3Ambient activity monitoring systems produce large amounts of data, which can be used for health monitoring. The problem is that patterns in this data reflecting health status are not identified yet. In this paper the possibility is explored of predicting the functional health status (the motor score of AMPS = Assessment of Motor and Process Skills) of a person from data of binary ambient sensors. Data is collected of five independently living elderly people. Based on expert knowledge, features are extracted from the sensor data and several subsets are selected. We use standard linear regression and Gaussian processes for mapping the features to the functional status and predict the status of a test person using a leave-oneperson-out cross validation. The results show that Gaussian processes perform better than the linear regression model, and that both models perform better with the basic feature set than with location or transition based features. Some suggestions are provided for better feature extraction and selection for the purpose of health monitoring. These results indicate that automated functional health assessment is possible, but some challenges lie ahead. The most important challenge is eliciting expert knowledge and translating that into quantifiable features.
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Background Evidence about the impact of the COVID-19 pandemic on existing health inequalities is emerging. This study explored differences in mental health, sense of coherence (SOC), sense of community coherence (SOCC), sense of national coherence (SONC), and social support between low and high socioeconomic (SES) groups, and the predictive value of these predictors for mental health. participants and procedure A cross-sectional study was conducted using an online survey in the Netherlands in October 2021, comprising a total of 91 respondents (n = 41, low SES; n = 50, high SES). results There were no differences in mental health, SOC, SOCC, SONC, and social support between the groups. SOC was a predictor for mental health in both groups and SOCC for the low SES group. conclusions We found that both SOC and SOCC predict mental health during the pandemic. In the article we reflect on possible pathways for strengthening these resources for mental health.
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One might expect that a perception of obesity being a risk factor and disease, contributes to effective obesity prevention and management strategies. However, obesity rates continue to increase worldwide. The question arises whether obesity is truly perceived as a risk factor and a disease. This paper aims at describing perception of obesity as risk factor and disease among individuals seeking care, individuals not seeking care, the society, and different professionals having a role in the field of obesity. The paper is a reflection of the lecture on the topic that was given at the EASO’s New Investigators United’s Summer School 2016 in Portugal and the discussion with the new investigators and other senior speakers. Individual obese patients seeking help are very much aware of obesity being a risk factor and disease, but perceptions regarding obesity seem to be flawed among those who do not seek help for obesity. Also, misperceptions regarding obesity play a role at different levels, including society, different political levels, the fields of health care and social work, prevention organizations, and the food and marketing industry. The food and marketing industry has an enormous role in changing perceptions by the society and policy makers. Obesity rates will continue to increase as long as individuals, the society, and professionals at different levels have false interpretations of the severity of obesity. Severe action is needed against those who are playing a role in maintaining false perceptions of obesity as a risk factor and disease.
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Objective
Many patients with coronavirus disease 2019 (COVID-19) infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are comparable between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The primary objective of this study was to compare handgrip strength, physical functioning, and health status between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 3 months after ICU discharge. The second objective was to identify factors associated with physical functioning and health status in patients in the ICU with COVID-19.
Methods
In this observational, retrospective chart review study, handgrip strength (handheld dynamometer), physical functioning (Patient-Reported Outcomes Measurement Information System Physical Function), and health status (EuroQol 5 Dimension 5 Level) were compared between patients in the ICU with COVID-19 and patients in the ICU without COVID-19 using linear regression. Multilinear regression analyses were used to investigate whether age, sex, body mass index, comorbidities in medical history (Charlson Comorbidity Index), and premorbid function illness (Identification of Seniors At Risk-Hospitalized Patients) were associated with these parameters in patients in the ICU with COVID-19.
Results
In total, 183 patients (N = 92 with COVID-19) were included. No significant between-group differences were found in handgrip strength, physical functioning, and health status 3 months after ICU discharge. The multilinear regression analyses showed a significant association between sex and physical functioning in the COVID-19 group, with better physical functioning in men compared with women.
Conclusion
Current findings suggest that handgrip strength, physical functioning, and health status are comparable for patients who were in the ICU with COVID-19 and patients who were in the ICU without COVID-19 3 months after ICU discharge.
Impact
Aftercare in primary or secondary care in the physical domain of postintensive care syndrome after ICU discharge in patients with COVID-19 and in patients without COVID-19 who had an ICU length of stay >48 hours is recommended.
Lay Summary
Patients who were in the ICU with and without COVID-19 had a lower physical status and health status than healthy people, thus requiring personalized physical rehabilitation. Outpatient aftercare is recommended for patients with an ICU length of stay >48 hours, and functional assessment is recommended 3 months after hospital discharge.
MULTIFILE
Background: Access to affordable and effective health care is a challenge in low- and middle- income countries. Out-of-pocket expenditure for health care is a major cause of impoverishment. One way to facilitate access and overcome catastrophic expenditure is through a health insurance mechanism, whereby risks are shared and financial inputs pooled by way of contributions. This study examined factors that influenced the enrolment status of dairy farmers in Western Kenya to a community health insurance (CHI) scheme
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Background: Geriatric rehabilitation positively influences health outcomes in older adults after acute events. Integrating mobile health (mHealth) technologies with geriatric rehabilitation may further improve outcomes by increasing therapy time and independence, potentially enhancing functional recovery. Previous reviews have highlighted positive outcomes but also the need for further investigation of populations receiving geriatric rehabilitation. Objective: Our main objective was to assess the effects of mHealth applications on the health status of older adults after acute events. A secondary objective was to examine the structure and process elements reported in these studies. Methods: Systematic review, including studies from 2010 to January 2024. Studies were eligible if they involved older adults’ post-acute care and used mHealth interventions, measured health outcomes and compared intervention and control groups. The adjusted Donabedian Structure-Process-Outcome (SPO) framework was used to present reported intervention processes and structures. Results: After initial and secondary screenings of the literature, a total of nine studies reporting 26 health outcomes were included. mHealth interventions ranged from mobile apps to wearables to web platforms. While most outcomes showed improvement in both the intervention and control groups, a majority favored the intervention groups. Reporting of integration into daily practice was minimal. Conclusion: While mHealth shows positive effects on health status in geriatric rehabilitation, the variability in outcomes and methodologies among studies, along with a generally high risk of bias, suggest cautious interpretation. Standardized measurement approaches and co-created interventions are needed to enhance successful uptake into blended care and keep geriatric rehabilitation accessible and affordable.
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The aim of this study was to gain insight into the nutritional status, dietary intake and muscle health of older Dutch hip fracture patients to prevent recurrent fractures and to underpin rehabilitation programs. This cross-sectional study enrolled 40 hip fracture patients (mean ± SD age 82 ± 8.0 years) from geriatric rehabilitation wards of two nursing homes in the Netherlands. Assessments included nutritional status (Mini Nutritional Assessment), dietary intake on three non-consecutive days which were compared with Dietary Reference Intake values, and handgrip strength. Muscle mass was measured using Bioelectrical Impedance Analysis and ultrasound scans of the rectus femoris. Malnutrition or risk of malnutrition was present in 73% of participants. Mean energy, protein, fibre and polyunsaturated fat intakes were significantly below the recommendations, while saturated fat was significantly above the UL. Protein intake was
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In November 2021, the Lecturer Position at Institutes (L.INT) professorship was established by Saxion and Medical Spectrum Twente and as partners physiotherapy practice Pro-F and the Thoracic Centre Twente, with Sandra van Hogen-Koster as a professor. With this, the first Dutch professorship that focuses on the ideas of Positive Health has been launched.
MULTIFILE
In deze literatuurstudie werden vier databanken doorzocht met behulp van trefwoorden zoals chronic disease, e-health, factors en suggested interventions. Kwalitatieve, kwantitatieve en mixed methods-studies werden meegenomen. Uit de data van de 22 artikelen die werden geïncludeerd in de studie, blijken leeftijd, geslacht, inkomen, opleidingsniveau, etnische achtergrond en woonplaats (stad of platteland) in meer of mindere mate van invloed te zijn op het gebruik van e-health. Het artikel is een Nederlandstalige samenvatting van het artikel: Reiners, Sturm, Bouw & Wouters (2019) uit Int J Environ Res Public Health 2019;16(4)
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Introduction: Developing sustainable health policy requires an understanding of the future demand for health and social care. We explored the characteristics of the 65+ population in the Netherlands in 2020 and 2040, focusing on two factors that determine care needs: (1) the occurrence of complex health problems and (2) the availability of resources to manage health and care (e.g., health literacy, social support). Methods: Estimations of the occurrence of complex health problems and the availability of resources for 2020 were based on registry data and patient-reported data. Estimations for 2040 were based on (a) expected demographic developments, and (b) expert opinions using a two-stage Delphi study with 26 experts from policy making, practice and research in the field of health and social care. Results: The proportion of people aged 65+ with complex health problems and limited resources is expected to increase from 10% in 2020 to 12% in 2040 based on demographic developments, and to 22% in 2040 based on expert opinions. There was high consensus (>80%) that the proportion with complex health problems would be greater in 2040, and lower consensus (50%) on an increase of the proportion of those with limited resources. Developments that are expected to drive the future changes refer to changes in multimorbidity and in psychosocial status (e.g., more loneliness). Conclusion: The expected increased proportion of people aged 65+ with complex health problems and limited resources together with the expected health and social care workforce shortages represent large challenges for public health and social care policy.
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