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Abstract Background The high rates of psychiatric re-hospitalizations (also termed “revolving door”) presents a “wicked problem” which requires a systematic and holistic approach to its resolution. Israel’s mental-health rehabilitation law provides a comprehensive set of services intended to support the ability of persons with severe mental illness to rely on community rather than in-patient facilities for their ongoing care needs. Guided by the Health Behavior Model, we examined the relationship between psychiatric re-hospitalizations and the three Health Behavior Model factors (predisposing factor: socio-demographic characteristics and health beliefs; enabling factor: personal and social/vocational relationships facilitated by rehabilitation interventions and services; and need factor: outcomes including symptoms, and mental health and functional status) among persons with severe mental illness receiving rehabilitation services. Methods Logistic regression models were used to measure the association between re-hospitalization within a year and variables comprising the three Health Behavior Model factors on the sample of consumers utilizing psychiatric services (n = 7,165). The area under the curve for the model was calculated for each factor separately and for all three factors combined. Results A total of 846 (11.8%) consumers were hospitalized within a year after the study began. Although multivariable analyses showed significant associations between re-hospitalization and all three Health Behavior Model factors, the magnitude of the model’s area under the curve differed: 0.61 (CI = 0.59–0.64), 0.56 (CI = 0.54–0.58), 0.78 (CI = 0.77–0.80) and 0.78 (CI = 0.76–0.80) for predisposing, enabling, need and the full three-factor Health Behavior Model, respectively. Conclusion Findings revealed that among the three Health Behavior Model factors, the need factor best predicted re-hospitalization. The enabling factor, comprised of personal relationships and social/vocational activities facilitated by interventions and services representing many of psychiatric rehabilitation’s key goals, had the weakest association with reduced rates of re-hospitalization. Possible explanations may be inaccurate assessments of consumers' personal relationships and social/vocational activities by the mental healthcare professionals, problematic provider-consumer communication on the consumers' involvement in social/vocational activities, or ineffective methods of facilitating consumer participation in these activities. Clearly to reduce the wicked “revolving-door” phenomenon, there is a need for targeted interventions and a review of current psychiatric rehabilitation policies to promote the comprehensive integration of community rehabilitation services by decreasing the fragmentation of care, facilitating continuity of care with other healthcare services, and utilizing effective personal reported outcomes and experiences of consumers with severe mental illness.

Abstract Background COVID-19 is disproportionately affecting disadvantaged populations, with greater representation and worse outcomes in low socioeconomic and minority populations, and in persons from marginalized groups. General health care system approaches to inequity reduction (i.e., the minimization of differences in health and health care which are considered unfair or unjust), address the major social determinants of health, such as low income, ethnic affiliation or remote place of residents. Yet, to effectively reduce inequity there is a need for a multifactorial consideration of the aspects that intersect and generate significant barriers to effective care that can address the unique situations that people face due to their gender, ethnicity and socioeconomic situation. Main body To address the health equity challenges of diverse population groups in Israel, we propose to adopt an intersectional approach, allowing to better identify the needs and then better tailor the infection prevention and control modalities to those who need them the most. We focus on the two main ethnic – cultural—religious minority groups, that of Arab Palestinian citizens of Israel and Jewish ultra-orthodox (Haredi) communities. Additionally, we address the unique needs of persons with severe mental illness who often experience an intersection of clinical and sociodemographic risks. Conclusions This perspective highlights the need for responses to COVID-19, and future pandemic or global disasters, that adopt the unique lens of intersectionality and equity. This requires that the government and health system create multiple messages, interventions and policies which ensure a person and community tailored approach to meet the needs of persons from diverse linguistic, ethnic, religious, socioeconomic and cultural backgrounds. Under-investment in intersectional responses will lead to widening of gaps and a disproportionate disease and mortality burden on societies’ most vulnerable groups.

Abstract Background Low in-hospital mobility is widely acknowledged as a major risk factor in acquiring hospital-associated disabilities. Various predictors of in-hospital low mobility have been suggested, among them older age, disabling admission diagnosis, poor cognitive and physical functioning, and pre-hospitalization mobility. However, the universalism of the phenomena is not well studied, as similar risk factors to low in-hospital mobility have not been tested. Methods The study was a secondary analysis of data on in-hospital mobility that investigated the relationship between in-hospital mobility and a set of similar risk factors in independently mobile prior to hospitalization older adults, hospitalized in acute care settings in Israel (N = 206) and Denmark (N = 113). In Israel, mobility was measured via ActiGraph GT9X and in Denmark by ActivPal3 for up to seven hospital days. Results Parallel multivariate analyses revealed that a higher level of community mobility prior to hospitalization and higher mobility ability status on admission were common predictors of a higher number of in-hospital steps, whereas the longer length of hospital stay was significantly correlated with a lower number of steps in both samples. The risk of malnutrition on admission was associated with a lower number of steps, but only in the Israeli sample. Conclusions Despite different assessment methods, older adults’ low in-hospital mobility has similar risk factors in Israel and Denmark. Pre-hospitalization and admission mobility ability are robust and constant risk factors across the two studies. This information can encourage the development of both international standard risk evaluations and tailored country-based approaches.

Abstract Background Parents of children following traumatic medical events (TMEs) are known to be at high risk for developing severe post-traumatic stress symptoms (PTSS). Findings on the negative impact of TMEs on parents’ PTSS have been described in different cultures and societies. Parents from ethnic minority groups may be at particularly increased risk for PTSS following their child’s TME due to a host of sociocultural characteristics. Yet, differences in PTSS manifestation between ethnic groups following a child’s TME has rarely been studied. Objectives We aimed to examine: (1) differences in PTSS between Israeli-Arab and Israeli-Jewish mothers, following a child’s TME, and (2) risk and protective factors affecting mother’s PTSS from a biopsychosocial approach. Methods Data were collected from medical files of children following TMEs, hospitalized in a Department of Pediatric Rehabilitation, between 2008 and 2018. The sample included 47 Israeli-Arab mothers and 47 matched Israeli-Jewish mothers. Mothers completed the psychosocial assessment tool (PAT) and the post-traumatic diagnostic scale (PDS). Results Arab mothers perceived having more social support than their Jewish counterparts yet reported higher levels of PTSS compared to the Jewish mothers. Our prediction model indicated that Arab ethnicity and pre-trauma family problems predicted higher levels of PTSS among mothers of children following TMEs. Conclusions Despite reporting higher social support, Arab mothers reported higher levels of PTSS, as compared to the Jewish mothers. Focusing on ethnic and cultural differences in the effects of a child’s TME may help improve our understanding of the mental-health needs of mothers from different minority groups and aid in developing appropriate health services and targeted interventions for this population.

Abstract The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.

Abstract Background Most of readmission prediction models are implemented at the time of patient discharge. However, interventions which include an early in-hospital component are critical in reducing readmissions and improving patient outcomes. Thus, at-discharge high-risk identification may be too late for effective intervention. Nonetheless, the tradeoff between early versus at-discharge prediction and the optimal timing of the risk prediction model application remains to be determined. We examined a high-risk patient selection process with readmission prediction models using data available at two time points: at admission and at the time of hospital discharge. Methods An historical prospective study of hospitalized adults (≥65 years) discharged alive from internal medicine units in Clalit’s (the largest integrated payer-provider health fund in Israel) general hospitals in 2015. The outcome was all-cause 30-day emergency readmissions to any internal medicine ward at any hospital. We used the previously validated Preadmission Readmission Detection Model (PREADM) and developed a new model incorporating PREADM with hospital data (PREADM-H). We compared the percentage of overlap between the models and calculated the positive predictive value (PPV) for the subgroups identified by each model separately and by both models. Results The final cohort included 35,156 index hospital admissions. The PREADM-H model included 17 variables with a C-statistic of 0.68 (95% CI: 0.67–0.70) and PPV of 43.0% in the highest-risk categories. Of patients categorized by the PREADM-H in the highest-risk decile, 78% were classified similarly by the PREADM. The 22% (n = 229) classified by the PREADM-H at the highest decile, but not by the PREADM, had a PPV of 37%. Conversely, those classified by the PREADM into the highest decile but not by the PREADM-H (n = 218) had a PPV of 31%. Conclusions The timing of readmission risk prediction makes a difference in terms of the population identified at each prediction time point – at-admission or at-discharge. Our findings suggest that readmission risk identification should incorporate a two time-point approach in which preadmission data is used to identify high-risk patients as early as possible during the index admission and an “all-hospital” model is applied at discharge to identify those that incur risk during the hospital stay.

Abstract Background Medication-related problems are common in older adults with multiple chronic conditions. We evaluated the impact of a nurse-based primary care intervention, based on the Guided Care model of care, on patient-centered aspects of medication use. Methods Controlled clinical trial of the Comprehensive Care for Multimorbid Adults Project (CC-MAP), conducted among 1218 participants in 7 intervention clinics and 6 control (usual care) clinics. Inclusion criteria included age 45–94, presence of ≥3 chronic conditions, and Adjusted Clinical Groups (ACG) score > 0.19. The co-primary outcomes were number of changes to the medication regimen between baseline and 9 month followup, and number of changes to symptom-focused medications, markers of attentiveness to medication-related issues. Results Mean age in the intervention group was 72 years, 59% were women, and participants used a mean of 6.6 medications at baseline. The control group was slightly older (73 years) and used more medications (mean 7.1). Between baseline and 9 months, intervention subjects had more changes to their medication regimen than control subjects (mean 4.04 vs. 3.62 medication changes; adjusted difference 0.55, p = 0.001). Similarly, intervention subjects had more changes to their symptomatic medications (mean 1.38 vs. 1.26 changes, adjusted difference 0.20, p = 0.003). The total number of medications in use remained stable between baseline and follow-up in both groups (p > 0.18). Conclusion This nurse-based, primary care intervention resulted in substantially more changes to patients’ medication regimens than usual care, without increasing the total number of medications used. This enhanced rate of change likely reflects greater attentiveness to the medication-related needs of patients. Trial registration This trial is registered at https://clinicaltrials.gov, trial number NCT01811173.

Abstract The complex nature of studying health and healthcare disparities in general, and in the context of the Israeli healthcare system in particular, is depicted in two recent IJHPR articles. The first examines Emergency Department (ED) waiting times in a tertiary children’s hospital and the second examines disparities in the health care for people with schizophrenia of an ethnic-national minority. Contrary to other Israeli studies on wide disparities in health and healthcare, these studies show no disparities - ED waiting times did not differ among Arab and Jewish children and report no differences in performance of Hemoglobin A1C tests or in surgical interventions in patients with cardiovascular disease between Arabs and Jews with schizophrenia. Thus, the studies reflect areas of equitable health care delivery within the Israeli healthcare system. Future studies should account for the fact that the phenomena of health and healthcare disparities is complex and should utilize rigorous methodologies to take into consideration the various factors that may affect the manifestation of differences amongst population groups. As a result, they may help detect disparities which may otherwise be missed.