This paper proposes a method to support population management by evaluating population needs using population stratification based on healthcare trajectories. Reimbursed healthcare consumption data for the first semester of 2017 contained within the inter-mutualist database were analysed to create healthcare trajectories for a subset of the population aged between 60 and 79 (N = 22,832) to identify (1) the nature of health events, (2) key transitions between lines of care, (3) the relative duration of different events, and (4) the hierarchy of events. These factors were classified using a K-mers approach followed by multinomial mixture modelling. Five population groups were identified using this healthcare trajectory approach: \"low users\", \"high intensity of nursing care\", \"transitional care & nursing care\", \"transitional care\", and \"long time in hospital\". This method could be used by loco-regional governing bodies to learn reflectively from the place where care is provided, taking a systems perspective rather than a disease perspective, and avoiding the one-size-fits-all definition. It invites decision makers to make better use of routinely collected data to guide continuous learning and adaptive management of population health needs.

UNASSIGNED: General practices are facing challenges such as rising patient demand and difficulties recruiting and retaining general practitioners. Greater use of digital technology has been advocated as a way of mitigating some of these challenges and improving patient access. This includes Digital First Primary Care, when a patient\'s first contact with primary care is through a digital route, either through a laptop or smartphone. The use of Digital First Primary Care has been expedited since COVID-19. There is little evidence of staff experiences of using Digital First Primary Care with more complex patients, such as those with multiple long-term conditions.
UNASSIGNED: To understand the experiences of those with multiple long-term conditions of Digital First Primary Care from the perspectives of healthcare professionals and stakeholders.
UNASSIGNED: This was a qualitative evaluation, comprised of four distinct work packages: Work package 1: Locating the study within the wider context, engaging with literature, and co-designing the study approach and research questions with patients. Work package 2: Interviews with health professionals working across general practice and key expert topic stakeholders, including academics and policy-makers. Work package 3: Analysis of data and generation of themes, and testing findings with patients. Work package 4: Synthesis, reporting and dissemination.
UNASSIGNED: The study commenced in January 2021 and in total 28 interviews were conducted with 14 health professionals and 15 stakeholders between January and August 2022. From the perspective of health professionals, Digital First Primary Care approaches could enable patients to speak with a clinician more quickly than traditional approaches. Those with multiple long-term conditions could submit healthcare readings from home, though health professionals felt patients may struggle navigating digital systems not designed to capture the nuances associated with living with multiple conditions. Clinicians expressed preferences for seeing patients face-to-face, particularly those with multiple long-term conditions, to identify non-verbal cues about a patient\'s health. Digital First Primary Care approaches provided an opportunity for clinicians to engage with the carers of patients living with multiple long-term conditions, yet there were concerns around obtaining consent and confidentiality. There remain debates among stakeholders about the nature and extent to which Digital First Primary Care impacts on staff workload.
UNASSIGNED: At the time of data collection, general practices were facing considerable pressure to deliver care and respond to the COVID-19 pandemic. While it was originally intended that the study would include interviews with patients with multiple long-term conditions and their carers, none of the general practices that took part in the study were willing and/or able to recruit patients and carers in the time available.
UNASSIGNED: The rapid implementation of Digital First Primary Care, at a time of immense pressures, meant there has been little time for considering the impact on patients, including those with multiple long-term conditions. The impacts on care continuity depended largely on how surgeries implemented their approaches. Staff and stakeholders felt that Digital First Primary Care, as an additional route for accessing primary care, could be useful for patients with multiple long-term conditions but not at the expense of face-to-face consultations.
UNASSIGNED: Future research obtaining patient and carer views of digital-first approaches, understanding the impacts on carers and how approaches are designed with patients with more complex conditions in mind, is essential.
UNASSIGNED: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 16/138/31) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 21. See the NIHR Funding and Awards website for further award information.
Healthcare professionals want to provide the best primary care in the face of increasing pressures, as well as improve access to care for patients. Digital First Primary Care is one response to this situation, when a patients’ first contact with primary care is through a digital route, either through a laptop or smartphone. Online systems allow the patient to provide information to their practice about their symptoms or needs and request a response from a health professional. Our study aimed to understand how Digital First Primary Care works for healthcare professionals providing care to increasing numbers of patients with multiple long-term conditions and their carers. Firstly, we examined the relatively limited existing findings and then interviewed healthcare professionals and key stakeholders experienced in digital approaches within primary care (e.g. from policy organisations, universities and the National Health Service). While we attempted to speak to patients and carers directly, unfortunately the pressures in general practice meant we were unable to do so. However, the study was co-designed with patients. Healthcare professionals and stakeholders felt that patients with multiple long-term conditions faced additional challenges with the use of Digital First Primary Care compared to other patients. For example, they reported difficulties navigating online forms and not being able to speak with a general practitioner who knew them well. There were differing views from healthcare professionals and stakeholders about how far Digital First Primary Care could help staff in general practice and enhance care. For some clinicians, the workload was easier to manage and some simple tasks (e.g. sick notes) could be completed quickly. This could reduce stress for staff and mean more patients could be seen per day. Others felt that the digital system had shortcomings. This could be important for patients with multiple long-term conditions; for example, when a digital form may not fully inform the general practitioner as to the exact nature of the problem, potentially requiring a further follow-up appointment. Health professionals reported that carers of patients with multiple long-term conditions generally liked the new systems as they helped to improve contact with general practice staff. The summary was co-authored by members of the BRACE Patient and Public Involvement group.

Food addiction, or ultra-processed food addiction (UPFA), has emerged as a reliable and validated clinical entity that is especially common in individuals seeking treatment for eating disorders (EDs), substance use disorders (SUDs) and co-occurring psychiatric disorders (including mood, anxiety and trauma-related disorders). The clinical science of UPFA has relied on the development and proven reliability of the Yale Food Addiction Scale (YFAS), or subsequent versions, e.g., the modified YFAS 2.0 (mYFAS2.0), as well as neurobiological advances in understanding hedonic eating. Despite its emergence as a valid and reliable clinical entity with important clinical implications, the best treatment approaches remain elusive. To address this gap, we have developed and described a standardized assessment and treatment protocol for patients being treated in a residential program serving patients with psychiatric multi-morbidity. Patients who meet mYFAS2.0 criteria are offered one of three possible approaches: (1) treatment as usual (TAU), using standard ED treatment dietary approaches; (2) harm reduction (HR), offering support in decreasing consumption of all UPFs or particular identified UPFs; and (3) abstinence-based (AB), offering support in abstaining completely from UPFs or particular UPFs. Changes in mYFAS2.0 scores and other clinical measures of common psychiatric comorbidities are compared between admission and discharge.

Objectives: This study aimed to describe the prevalence and characteristics of ADRs and to identify the factors associated with ADRs among hospitalized patients. Methodology: A descriptive cross-sectional study was conducted over a 6 month period at Teaching Hospital Karapitiya (THK), Sri Lanka. A total of 2000 patients, who were admitted consecutively for any type of treatment during the study period were enrolled. The factors associated with ADRs were evaluated using logistic regression models, using ADR occurrence as the outcome. Results: A total of 123 ADRs were found from the sample. The prevalence of ADRs among hospitalized patients was 6.2%. (95% CI 5.1-7.2). ADRs were reported in 62 males (50.4%). The median (IQR) age of ADR occurrence was 52 (35-67) years. The most prevalent type of ADR was Type A (n = 62, 50.4%) and out of the total ADRs, 74 were moderately severe reactions (60.2%). Antibiotics (n = 29, 23.5%) were the most common causative agent for ADRs, followed by anticoagulants (n = 10, 8.1%). The multivariate logistic regression model showed that the number of prescribed drugs (P = .011), ADR history (P = 0 0.01) and diabetes mellitus (P = .003) were significantly associated with the occurrence of ADRs. Age (P = .21), gender (P = .31), ethnicity (P = .14), and other concomitant illnesses (Hypertension P = .66, Ischemic Heart Disease P = .25, etc.) did not associated with the occurrence of ADRs. Conclusion: According to this study the prevalence of ADRs was significant among inward patients in the Teaching Hospital, Karapitiya. The number of prescribed drugs, ADR history and diabetes mellitus were significantly correlated with the occurrence of ADRs. The results of the study can be used to guide healthcare professionals to revise the medication list frequently and monitor the patients who are at risk for developing ADRs.

UNASSIGNED: This study aims to describe experiences of the implementation of a new integrated healthcare model for older adults with complex care needs due to multimorbidity, living at home, from a health and welfare personnel perspective. The goal was to diminish hospitalization and still carry out high quality care at home for older adults living with multimorbidity. The model was implemented by two organizations working in cooperation, the municipality, and the region that handles interprofessional social care and healthcare in people\'s homes.
UNASSIGNED: Open-ended group interviews with personnel were carried out, three of the group interviews pre-implementations of the model, and three of the group interviews post-implementation. The interviews were audiotaped and analysed according to the procedure of thematic analysis.
UNASSIGNED: The quality of the integrated care model was based on care-chain cooperation, shared professionalism, and creating relations with the patient including closeness to next of kin, which was underlined by the participants. Unencumbered time gave the professionals the possibility to develop quality in integrated healthcare as part of integrated and person-centred care. The coproduction of education, research interviews and the follow-up meeting identified successes in diminishing hospitalization rates according to the participants\' experiences of the post-implementation interviews. An identified failure was, however, that shared professionalism was not developed over time, rather the different responsibilities were accentuated according to the information retrieved at the follow-up meeting.
UNASSIGNED: Quality aspects of the model were identified in the present study. However, when implementation of a new model is completed, the organizations always have their own interpretation of how to further understand the model in question.
The intention of the present study was to follow the process of working with a new model of providing care at home, thus preventing increased numbers of hospital readmissions, based on the professionals´ point of view of what quality care is for older adults with complex care needs due to multimorbidity, living in their own home. The professionals were interviewed in group settings on several occasions during the implementation. The result showed hopeful expectations expressed by the professionals before the new model was implemented, such as a hope for getting more time for high-quality care for the older adults with multimorbidity. During the teamwork, the conversation within the team members was praised as a key factor that included shared professionalism from professionals with different levels of education and focus on their work. According to the staff, unnecessary hospital stays were reduced, while the interprofessional care-chain cooperation was improved through the work of the integrated care team. For many team members, the positive difference in both work and care satisfaction was highlighted in comparison to regular home care as they were able to use their multi-disciplinary skills and support.

This work aims to evaluate associations between self-reported sleep health and frailty in Botswana, a sub-Saharan Africa setting. Fifty persons living with HIV (PLWH) on suppressive antiretroviral therapy (ART) and fifty HIV seronegative control participants are enrolled in Botswana. Sleep quality is scored subjectively as \"good\" or \"poor\" based on self-report. A frailty index (FI) is constructed based on thirty-three health deficits related to body mass index, waist circumference, physical activity, emotional status, and fatigue, and scored ranging between 0 (no deficit present) and 1 (all deficits present). Sleep quality between PLWH and controls is compared using logistic regression; linear regression is performed to compare the FI between them. Linear regressions are performed to examine the association between the FI and sleep quality stratified by HIV serostatus. Age, sex, and comorbidities are adjusted; when relevant, CD4 cell and ART duration are controlled. PLWH display 2.88 (95% CI: 1.22-6.79, p = 0.02) higher odds of having poor sleep than controls. Having poor sleep is associated with increased FI in PLWH but not in controls. Specifically, compared with PLWH who have good sleep, PLWH who report poor sleep have a > 1 standard deviation (p < 0.0001) increase in their FI score.

UNASSIGNED: To evaluate polypharmacy in older people to determine whether the number of medications de-prescribed correlates with the extent of improvement in quality of life (QoL) and clinical outcomes.
UNASSIGNED: A prospective longitudinal cohort study of polypharmacy in people living in a community in Israel.
UNASSIGNED: Participants aged 65 years or older who took at least six prescription drugs followed up for at least 3 years (range 3-10 years) after poly-de-prescription (PDP) recommendations.
UNASSIGNED: PDP recommended at first home visit using the Garfinkel algorithm. Annual follow-up and end-of-study questionnaires used to assess clinical outcomes, QoL, and satisfaction from de-prescribing. All medications taken, complications, hospitalizations, and mortality recorded. In total, 307 participants met the inclusion criteria; 25 incomplete end-of-study questionnaires meant 282 participants for subjective analysis. Participants divided into two subgroups: (i) those who discontinued more than 50% of the drugs (PDP group) or (ii) those who discontinued less than 50% of the drugs (non-responders, NR).
UNASSIGNED: Objective: 3-year survival rate and hospitalizations. Subjective: general satisfaction from de-prescribing; change in functional, mental, and cognitive status; improved sleep quality, appetite, and continence; and decreased pain.
UNASSIGNED: Mean age: 83 years (range 65-99 years). Mean number of drugs at baseline visit: 9.8 (range 6-20); 6.7 ± 2.0 de-prescribed in the PDP group (n = 146) and 2.2 ± 2.1 in the NR group (n = 161) (p < 0.001).No statistical difference between the groups in the 3-year survival rate and hospitalizations, but a significant improvement in functional and cognitive status and, in general, satisfaction from the intervention in the PDP group compared to the NR group. Improvement usually evident within the first 3 months and persists for several years.
UNASSIGNED: Poly-de-prescribing in the older population has beneficial effects on several clinical outcomes with no detrimental effect on the rate of hospitalization and survival. The extent of improvement correlates with the extent of de-prescribing. Applying the Garfinkel algorithm globally may improve QoL in millions of patients, a clinical and economic win-win situation.

UNASSIGNED: Vasculitides are a heterogeneous group of disorders producing inflammation of blood vessels (e.g. arteries or veins). All major vasculitides potentially have ophthalmological symptoms and signs including visual loss. Co-morbidity, multimorbidity, polypharmacy, and geriatric syndromes all play important roles in patient outcomes for these rheumatic conditions in the elderly. This monograph reviews the NCBI PubMed database (Feb 2023) literature on the neuro-ophthalmic and geriatric considerations in vasculitis.
UNASSIGNED: Cogan Syndrome, Granulomatosis with Polyangiitis, Giant Cell Arteritis, Polyarteritis Nodosa, Takayasu Arteritis, Vasculitis epidemiology, and neuro-ophthalmological symptoms.
UNASSIGNED: Geriatric patient care for vasculitis with neuro-ophthalmological manifestations can be complicated by the interplay of multiple co-morbidities, polypharmacy, and specific geriatric syndromes. The valuation and treatment of vasculitis and the complications associated with the disease can negatively impact patient care. Advances in noninvasive imaging and updates in diagnostic criteria have enabled increased identification of patients at earlier stages with less severe disease burden. Novel therapeutic agents can be glucocorticoid sparing and might reduce the adverse effects of chronic steroid use. Holistic care models like the 5 M geriatric care model (mind, mobility, medications, multicomplexity, and matters most) allow patients\' needs to be in the forefront with biopsychosocial aspects of a patient being addressed.

OBJECTIVE: Multimorbidity, defined as the presence of two or more long-term health conditions in an individual, is one of the most significant challenges facing health systems worldwide. This study aimed to identify determinants of classes of multimorbidity among older adults in Iran.
METHODS: In a cross-sectional sample of older adults (aged ≥ 60 years) from the second stage of the Bushehr Elderly Health (BEH) program in southern Iran, latent class analysis (LCA) was used to identify patterns of multimorbidity. Multinomial logistic regression was conducted to investigate factors associated with each multimorbidity class, including age, gender, education, household income, physical activity, smoking status, and polypharmacy.
RESULTS: In 2,426 study participants (mean age 69 years, 52% female), the overall prevalence of multimorbidity was 80.2%. Among those with multimorbidity, 3 latent classes were identified. These comprised: class 1, individuals with a low burden of multisystem disease (56.9%); class 2, individuals with predominantly cardiovascular-metabolic disorders (25.8%) and class 3, individuals with predominantly cognitive and metabolic disorders (17.1%). Compared with men, women were more likely to belong to class 2 (odds ratio [OR] 1.96, 95% confidence interval [CI] 1.52-2.54) and class 3 (OR 4.52, 95% CI 3.22-6.35). Polypharmacy was associated with membership class 2 (OR 3.52, 95% CI: 2.65-4.68) and class 3 (OR 1.84, 95% CI 1.28-2.63). Smoking was associated with membership in class 3 (OR 1.44, 95% CI 1.01-2.08). Individuals with higher education levels (59%) and higher levels of physical activity (39%) were less likely to belong to class 3 (OR 0.41; 95% CI: 0.28-0.62) and to class 2 (OR 0.61; 95% CI: 0.38-0.97), respectively. Those at older age were less likely to belong to class 2 (OR 0.95).
CONCLUSIONS: A large proportion of older adults in Iran have multimorbidity. Female sex, polypharmacy, sedentary lifestyle, and poor education levels were associated with cardiovascular-metabolic multimorbidity and cognitive and metabolic multimorbidity. A greater understanding of the determinants of multimorbidity may lead to strategies to prevent its development.

A multimorbidity-focused approach may reflect common etiologic mechanisms and lead to better targeting of etiologic agents for broadly impactful public health interventions. Our aim was to identify clusters of chronic obesity-related, neurodevelopmental, and respiratory outcomes in children, and to examine associations between cluster membership and widely prevalent chemical exposures to demonstrate our epidemiologic approach. Early to middle childhood outcome data collected 2011-2022 for 1092 children were harmonized across the ECHO-PATHWAYS consortium of 3 prospective pregnancy cohorts in six U.S. cities. 15 outcomes included age 4-9 BMI, cognitive and behavioral assessment scores, speech problems, and learning disabilities, asthma, wheeze, and rhinitis. To form generalizable clusters across study sites, we performed k-means clustering on scaled residuals of each variable regressed on study site. Outcomes and demographic variables were summarized between resulting clusters. Logistic weighted quantile sum regressions with permutation test p-values associated odds of cluster membership with a mixture of 15 prenatal urinary phthalate metabolites in full-sample and sex-stratified models. Three clusters emerged, including a healthier Cluster 1 (n = 734) with low morbidity across outcomes; Cluster 2 (n = 192) with low IQ and higher levels of all outcomes, especially 0.4-1.8-standard deviation higher mean neurobehavioral outcomes; and Cluster 3 (n = 179) with the highest asthma (92 %), wheeze (53 %), and rhinitis (57 %) frequencies. We observed a significant positive, male-specific stratified association (odds ratio = 1.6; p = 0.01) between a phthalate mixture with high weights for MEP and MHPP and odds of membership in Cluster 3 versus Cluster 1. These results identified subpopulations of children with co-occurring elevated levels of BMI, neurodevelopmental, and respiratory outcomes that may reflect shared etiologic pathways. The observed association between phthalates and respiratory outcome cluster membership could inform policy efforts towards children with respiratory disease. Similar cluster-based epidemiology may identify environmental factors that impact multi-outcome prevalence and efficiently direct public policy efforts.