Adapting Dementia Care Management to a Regional German Context: Assessment of Changes in Acceptability, Appropriateness, and Feasibility.

Dementia care management, an evidence-based care concept in Germany, optimizes care for people with dementia and their caregivers. Implemented by qualified professionals, it comprises intervention modules addressing treatment and care, medication management, and caregiver support. Positively evaluated in one federal state, it's recommended for nationwide integration into routine care. Since the infrastructure of the German healthcare system differs regionally, the concept underwent adaption for regional implementation in a participatory, iterative process. Five local healthcare experts as co-researchers tested and adjusted selected components of the concept in a pilot study. This trend analysis aims to assess the adapted concept for acceptance, appropriateness, and feasibility. A total of 89 intervention modules were tested over 18 weeks, and the co-researcher's assessment was gathered through an accompanying online survey. The participatory process itself was rated positively overall, but technical problems had a negative impact on the implementation and evaluation of the care concept.

Perception of the compatibility of Quebec residency program characteristics with the advanced access model: a cross-sectional study.

BACKGROUND: The advanced access (AA) model is among the most recommended innovations for improving timely access in primary care (PC). AA is based on core pillars such as comprehensive planning for care needs and supply, regularly adjusting supply to demand, optimizing appointment systems, and interprofessional collaborative practices. Exposure of family medicine residents to AA within university-affiliated family medicine groups (U-FMGs) is a promising strategy to widen its dissemination and improve access. Using four AA pillars as a conceptual model, this study aimed to determine the theoretical compatibility of Quebec's university-affiliated clinics' residency programs with the key principles of AA. METHODS: A cross-sectional online survey was sent to the chief resident and academic director at each participating clinic. An overall response rate of 96% (44/46 U-FMGs) was obtained. RESULTS: No local residency program was deemed compatible with all four considered pillars. On planning for needs and supply, only one quarter of the programs were compatible with the principles of AA, owing to residents in out-of-clinic rotations often being unavailable for extended periods. On regularly adjusting supply to demand, 54% of the programs were compatible. Most (82%) programs' appointment systems were not very compatible with the AA principles, mostly because the proportion of the schedule reserved for urgent appointments was insufficient. Interprofessional collaboration opportunities in the first year of residency allowed 60% of the programs to be compatible with this pillar. CONCLUSIONS: Our study highlights the heterogeneity among local residency programs with respect to their theoretical compatibility with the key principles of AA. Future research to empirically test the hypotheses raised by this study is warranted.

CareNet Tyrol - Information System Success Assessment for Case & Care Management Service.

BACKGROUND: CareNet is the IT-based tool for Case and Care Management (CCM) in Tyrol, which facilitates standardised documentation of CCM activities. OBJECTIVES: Analysing the pilot usage of CareNet Tyrol. METHODS: Evaluation of the success and user experience of CareNet, expert interviews and a questionnaire-based assessment. RESULTS: Feedback from users in both phases indicated that the CareNet platform provides general benefits, but falls short of fully supporting the daily work of CCM experts and avoiding the need for parallel use of different documentation tools. CONCLUSION: This paper provides an insight into the ongoing transition to digital documentation for CCM at LIV Tyrol. While user feedback highlights areas for improvement, digital documentation is proved to be beneficial for the CCM team.

Inter-rater reliability in the assessment of consciousness in patients receiving palliative care in intensive care: A prospective cross sectional observational study.

BACKGROUND: The Glasgow Coma Scale (GCS) is one of the methods that has validity for evaluating the consciousness levels of patients in the literature and is accepted by health authorities. AIM: The purpose of this study was to evaluate the inter-rater reliability of GCS in intensive care patients receiving palliative care. STUDY DESIGN: A prospective cross sectional observational study. The study was conducted in a general intensive care unit with 20 beds with patients receiving palliative care. In the unit, 18 nurses worked in two shifts, day and night. Each patient's primary palliative care nurse and two additional researchers were given one minute to independently record the patient's GCS total and subscale scores. All observations were completed within 5 min as there could be significant changes in the patient's GCS score during observations. RESULTS: A total of 258 assessments were completed. For the GCS total scoring, a moderate agreement was found between palliative care nurses and the first researcher-observer (49.0%) and also between palliative care nurses and the second researcher-observer (47.7%). In addition, there was a substantial agreement between the first and second researchers (78.9%) and also between all observers (61.5%) (all p = .001). CONCLUSIONS: Although there was a near-perfect agreement between the two researcher-observers, we found only moderate agreement among all observers (palliative care nurses and two researcher-observers) in the evaluation of GCS total and subscale scores. RELEVANCE TO CLINICAL PRACTICE: We found that lack of knowledge and training on the standardized use of GCS is still a problem for palliative and intensive care units. Because of the diversity of patients requiring GCS assessment in palliative care units, refresher training programs and hands-on workshops on consciousness assessment should be organized regularly for more experienced nurses.

Working Together to Improve Type 2 Diabetes Care: A Participatory Design Project to Address Identified Needs of People With Diabetes and Their Health-care Professionals.

OBJECTIVES: Diabetes care in Australia is often fragmented and provider-centred, resulting in suboptimal care. Innovative solutions are needed to bridge the evidence-practice gap, and technology can facilitate the redesign of type 2 diabetes care. We used participatory design to increase the chances of fulfilling stakeholders' needs. Using this method, we explored solutions aimed at redesigning diabetes care, focussing on the previously identified needs. METHODS: The participatory design project was guided by stakeholders' contributions. Stakeholders of this project included people with type 2 diabetes, health-care professionals, technology developers, and researchers. Information uncovered at each step influenced the next: 1) identification of needs, 2) generation of solutions, and 3) testing of solutions. Here, we present steps 2 and 3. In step 2, we presented previously identified issues and elicited creative solutions. In step 3, we obtained stakeholders' feedback on the solutions from step 2, presented as care pathways. RESULTS: Suggested solutions included a multidisciplinary wellness centre, a mobile app, increased access to education, improved care coordination, increased support for general practitioners, and a better funding model. The revised care pathways featured accessible community resources, a tailored self-management and educational app, a care coordinator, a digital dashboard, and specialized support for primary care to deal with complex cases. CONCLUSIONS: Using a participatory design, we successfully identified multiple innovative solutions with the potential to improve person-centred and integrated type 2 diabetes care in Australia. These solutions will inform the implementation and evaluation of a redesigned care model by our team.

Health care management adequacy among French persons with severe profound intellectual and multiple disabilities: a longitudinal study.

BACKGROUND: The care organization of persons with profound intellectual and multiple disabilities (PIMD) varies by country according to the health care system. This study used a large sample of French individuals with severe PIMD/polyhandicap to assess: 1) the adequacy of care setting over a 5-year period and 2) health care consumption. METHODS: The longitudinal study used data from the French EVALuation PoLyHandicap (EVAL-PLH) cohort of persons with severe PIMD/polyhandicap who were receiving managed in specialized care centres and residential facilities. Two assessments were performed: wave 1 (T1) in 2015-2016 and wave 2 (T2) in 2020-2021. The inclusion criteria were as follows: age > 3 years at the time of inclusion; age at onset of cerebral lesion younger than 3 years old; and severe PIMD. The adequacy of the care setting was based on the following: i) objective indicators, i.e., adequacy for age and adequacy for health status severity; ii) subjective indicators, i.e., self-perception of the referring physician about medical care adequacy and educational care adequacy. Health care consumption was assessed based on medical and paramedical care. RESULTS: Among the 492 persons assessed at the 2 times, 50% of individuals at T1 and 46% of individuals at T2 were in an inadequate care setting based on age and severity. Regarding global subjective inadequacy, the combination of medical adequacy and educational adequacy, 7% of individuals at T1 and 13% of individuals at T2 were in an inadequate care setting. At T2, a majority of individuals were undermonitored by medical care providers (general practitioners, physical medicine rehabilitation physicians, neurologists, orthopaedists, etc.). Important gaps were found between performed and prescribed sessions of various paramedical care (physiotherapy, occupational therapy, psychomotor therapy, etc.). CONCLUSIONS: This study revealed key elements of inadequate care management for persons with severe PIMD/polyhandicap in France. Based on these important findings, healthcare workers, familial caregivers, patients experts, and health decision-makers should develop appropriate care organizations to optimize the global care management of these individuals. TRIAL REGISTRATION: NCT02400528, registered 27/03/2015.

Does Interdisciplinary Care Team Care Management Improve Health Quality and Demonstrate Cost-Effectiveness?

This study evaluated the impact of an interdisciplinary care teams (IDCT) care management program on cost and quality outcomes using a novel algorithm to identify 400 high-risk patients out of 48,235 Medicare Advantage (MA) beneficiaries. Of the 400, 252 were enrolled in the IDCT care management intervention program, while the remaining 148 were not enrolled. A second comparison group consisted of 660 who were referred to the IDCT program but not selected by the algorithm. The program's effectiveness was evaluated 1-year postintervention. Analyses found that health care costs for members enrolled in the IDCT program were reduced by US$1,121.76 and US$1,625.61 per member per month, respectively, relative to those not enrolled and those enrolled by referral. The cost reduction from the program generated a net savings of US$1.9MM, covering the program's cost. Findings suggest IDCTs can cost-effectively manage populations of high-risk patients with better selection and fostering greater interdependence.

The impact of dual VA-Medicare use on a data-driven clinical management tool for older Veterans with multimorbidity.

BACKGROUND: Healthcare systems are increasingly turning to data-driven approaches, such as clustering techniques, to inform interventions for medically complex older adults. However, patients seeking care in multiple healthcare systems may have missing diagnoses across systems, leading to misclassification of resulting groups. We evaluated the impact of multi-system use on the accuracy and composition of multimorbidity groups among older adults in the Veterans Health Administration (VA). METHODS: Eligible patients were VA primary care users aged ≥65 years and in the top decile of predicted 1-year hospitalization risk in 2018 (n = 558,864). Diagnoses of 26 chronic conditions were coded using a 24-month lookback period and input into latent class analysis (LCA) models. In a random 10% sample (n = 56,008), we compared the resulting model fit, class profiles, and patient assignments from models using only VA system data versus VA with Medicare data. RESULTS: LCA identified six patient comorbidity groups using VA system data. We labeled groups based on diagnoses with higher within-group prevalence relative to the average: Substance Use Disorders (7% of patients), Mental Health (15%), Heart Disease (22%), Diabetes (16%), Tumor (14%), and High Complexity (10%). VA with Medicare data showed improved model fit and assigned more patients with high accuracy. Over 70% of patients assigned to the Substance, Mental Health, High Complexity, and Tumor groups using VA data were assigned to the same group in VA with Medicare data. However, 41.9% of the Heart Disease group and 14.7% of the Diabetes group were reassigned to a new group characterized by multiple cardiometabolic conditions. CONCLUSIONS: The addition of Medicare data to VA data for older high-risk adults improved clustering model accuracy and altered the clinical profiles of groups. Accessing or accounting for multi-system data is key to the success of interventions based on empiric grouping in populations with dual-system use.

A Novel Home-Based Medication Management Program and Its Influence on Hospitalization Rates among Home Health Care Recipients.

Patients do not take their medicine as prescribed 50% of the time, and of medication-related hospital admissions in the United States, 33% to 69% are due to poor medication adherence, at a cost of approximately $100 billion a year. Continue CareRx (CCRx) is a novel home-based medication management program that includes adherence packaging alongside medication reconciliation, review, and education by clinicians. We hypothesized that home health patients receiving the CCRx service may have a lower hospitalization rate than control home health patients. Between May 1, 2021, and March 31, 2023, 113 home health patients whose insurance covered the program were enrolled in CCRx. Home health patients not eligible for the program due to a noncovered pharmacy insurance benefit made up the control group (n = 21,304), which was matched with the CCRx group on age range (45-99 years old) and gender (67% women). Hospitalization rate was calculated in both groups and compared using generalized estimating equations analysis. The control group had a total of 7015 hospitalizations during the study period during 2,128,738 total managed days, whereas the CCRx group had 21 hospitalizations during 23,622 total managed days. These translated into rates of 1203 hospitalizations per 1000 per year for the control group, and 324 hospitalizations per 1000 per year for the CCRx group. The results showed that there was a significant main effect of group in predicting individual annual hospitalization rate (Wald χ2 = 56.415, P < .01). Specifically, being in the control group was associated with a 43.42-fold increase in the likelihood of a higher hospitalization rate (95% Wald CI for odds ratios: 7.24-230.44). Home health recipients enrolled in CCRx experienced a 73.1% lower hospitalization rate than controls. Making the program more widely available to patients receiving home health care may present a significant opportunity to reduce hospitalizations in this group.

Is it possible to automate the discovery of process maps for the time-driven activity-based costing method? A systematic review.

OBJECTIVES: The main objective of this manuscript was to identify the methods used to create process maps for care pathways that utilized the time-driven activity-based costing method. METHODS: This is a systematic mapping review. Searches were performed in the Embase, PubMed, CINAHL, Scopus, and Web of Science electronic literature databases from 2004 to September 25, 2022. The included studies reported practical cases from healthcare institutions in all medical fields as long as the time-driven activity-based costing method was employed. We used the time-driven activity-based costing method and analyzed the created process maps and a qualitative approach to identify the main fields. RESULTS: A total of 412 studies were retrieved, and 70 articles were included. Most of the articles are related to the fields of orthopedics and childbirth-related to hospital surgical procedures. We also identified various studies in the field of oncology and telemedicine services. The main methods for creating the process maps were direct observational practices, complemented by the involvement of multidisciplinary teams through surveys and interviews. Only 33% of the studies used hospital documents or healthcare data records to integrate with the process maps, and in 67% of the studies, the created maps were not validated by specialists. CONCLUSIONS: The application of process mining techniques effectively automates models generated through clinical pathways. They are applied to the time-driven activity-based costing method, making the process more agile and contributing to the visualization of high degrees of variations encountered in processes, thereby making it possible to enhance and achieve continual improvements in processes.

Finding social need-les in a haystack: ascertaining social needs of Medicare patients recorded in the notes of care managers.

BACKGROUND: Unmet social needs may impair health and access to health care, and intervening on these holds particular promise in high-risk patient populations, such as those with multiple chronic conditions. Our objective was to identify social needs in a patient population at significant risk-Medicare enrollees with multiple chronic illnesses enrolled in care management services-and measure their prevalence prior to any systematic screening. METHODS: We partnered with Renova Health, an independent Medicare Chronic Care Management (CCM) provider with patients in 10 states during our study period (January 2017 through August 2020). Our data included over 3,000 Medicare CCM patients, representing nearly 20,000 encounters. We used a dictionary-based natural language processing approach to ascertain the prevalence of six domains of barriers to care (food insecurity, housing instability, utility hardship) and unmet social needs (health care affordability, need for supportive services, transportation) in notes taken during telephonic Medicare CCM patient encounters. RESULTS: Barriers to care, specifically need for supportive services (2.4%) and health care affordability (0.8%), were the most prevalent domains identified. Transportation as a barrier to care came up relatively less frequently in CCM encounters (0.1%). Unmet social needs were identified at a comparatively lower rate, with potential housing instability (0.3%) flagged most followed by potential utility hardship (0.2%) and food insecurity (0.1%). CONCLUSIONS: There is substantial untapped opportunity to systematically screen for social determinants of health and unmet social needs in care management.

Analyzing Financial Efficiency of Public-Private Partnerships Hospitals in Taiwan.

This study evaluates the management capacity ability and profitable capacity of eight public-private partnership hospitals in Taiwan from 2015 to 2020. By conducting various ratio analyses of the financial statement, this study found these hospitals have achieved a balance between management efficiency and profitability, thereby confirming the viability of the PPP model for hospital management. In addition, the subject hospitals play a vital role as isolation hospitals during the COVID-19 pandemic. Beyond offering medical assistance to infected individuals, these hospitals contribute to the integrity of Taiwan's medical network, mitigating the impact of the pandemic. Overall, establishing and managing hospitals with PPP partnership is a feasible solution as it alleviates governmental financial burdens related to medical welfare and achieves profitability.

Racial and ethnic disparities in telehealth use before and after California's stay-at-home order.

Introduction: Telehealth can potentially improve the quality of healthcare through increased access to primary care. While telehealth use increased during the COVID-19 pandemic, racial/ethnic disparities in the use of telemedicine persisted during this period. Little is known about the relationship between health coverage and patient race/ethnicity after the onset of the COVID-19 pandemic. Objective: This study examines how differences in patient race/ethnicity and health coverage are associated with the number of in-person vs. telehealth visits among patients with chronic conditions before and after California's stay-at-home order (SAHO) was issued on 19 March 2020. Methods: We used weekly patient visit data (in-person (N = 63, 491) and telehealth visits (N = 55, 472)) from seven primary care sites of an integrated, multi-specialty medical group in Los Angeles County that served a diverse patient population between January 2020 and December 2020 to examine differences in telehealth visits reported for Latino and non-Latino Asian, Black, and white patients with chronic conditions (type 2 diabetes, pre-diabetes, and hypertension). After adjusting for age and sex, we estimate differences by race/ethnicity and the type of insurance using an interrupted time series with a multivariate logistic regression model to study telehealth use by race/ethnicity and type of health coverage before and after the SAHO. A limitation of our research is the analysis of aggregated patient data, which limited the number of individual-level confounders in the regression analyses. Results: Our descriptive analysis shows that telehealth visits increased immediately after the SAHO for all race/ethnicity groups. Our adjusted analysis shows that the likelihood of having a telehealth visit was lower among uninsured patients and those with Medicaid or Medicare coverage compared to patients with private insurance. Latino and Asian patients had a lower probability of telehealth use compared with white patients. Discussion: To address access to chronic care management through telehealth, we suggest targeting efforts on uninsured adults and those with Medicare or Medicaid coverage, who may benefit from increased telehealth use to manage their chronic care.

Challenges in predicting future high-cost patients for care management interventions.

BACKGROUND: To test the accuracy of a segmentation approach using claims data to predict Medicare beneficiaries most likely to be hospitalized in a subsequent year. METHODS: This article uses a 100-percent sample of Medicare beneficiaries from 2017 to 2018. This analysis is designed to illustrate the actuarial limitations of person-centered risk segmentation by looking at the number and rate of hospitalizations for progressively narrower segments of heart failure patients and a national fee-for-service comparison group. Cohorts are defined using 2017 data and then 2018 hospitalization rates are shown graphically. RESULTS: As the segments get narrower, the 2018 hospitalization rates increased, but the percentage of total Medicare FFS hospitalizations accounted for went down. In all three segments and the total Medicare FFS population, more than half of all patients did not have a hospitalization in 2018. CONCLUSIONS: With the difficulty of identifying future high utilizing beneficiaries, health systems should consider the addition of clinician input and 'light touch' monitoring activities to improve the prediction of high-need, high-cost cohorts. It may also be beneficial to develop systemic strategies to manage utilization and steer beneficiaries to efficient providers rather than targeting individual patients.

Protocol for an economic evaluation of a tele-neurologic intervention alongside a stepped wedge randomised controlled trial (NeTKoH).

BACKGROUND: A significant and growing portion of the global burden of diseases is caused by neurological disorders. Tele-neurology has the potential to improve access to health care services and the quality of care, particularly in rural and underserved areas. The economic evaluation of the stepped wedge randomised controlled trial NeTKoH aims to ascertain the cost-effectiveness and cost-utility regarding the effects of a tele-neurologic intervention in primary care in a rural area in Germany. METHODS: This protocol outlines the methods used when conducting the trial-based economic evaluation of NeTKoH. The outcomes used in our economic analysis are all prespecified endpoints of the NeTKoH trial. Outcomes considered for the cost-utility and cost-effectiveness analyses will be quality-adjusted life years (QALYs) derived from the EQ-5D-5L, proportion of neurologic problems being solved at the GP's office (primary outcome), hospital length-of-stay and number of hospital stays. Costs will be prospectively collected during the trial by the participating statutory health insurances, and will be analysed from a statutory health insurance perspective within the German health care system. This economic evaluation will be reported complying with the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. DISCUSSION: This within-trial economic evaluation relaying the costs and outcomes of an interdisciplinary tele-consulting intervention will provide high-quality evidence for cost-effectiveness and policy implications of a tele-neurological programme, including the potential for application in other rural areas in Germany or other jurisdictions with a comparable health system. TRIAL REGISTRATION: German Clinical Trials Register (DRKS00024492), date registered: September 28, 2021.

Evaluation of a telehealth program for high-risk pregnancy in a health service provider institution.

INTRODUCTION: eHealth offers a solution to current challenges in maternal health. Telemonitoring can rethink antenatal care, achieving more personalized medicine, especially in high-obstetric risk conditions. A home care model mediated by the development of a mobile and web application that seeks support in clinical decision-making was created in our institution. The software architecture consists of an information system (HCIS, Health Care Information System), a database, an authentication server, and an interoperability bus. METHODS: The usability of the software by patients was assessed using the Information Systems Usability Questionnaire (CSUQ) version 3, as well as the satisfaction of the care model designed through a survey in a prospective observational study in 62 patients with a high-risk pregnancy. Participants were monitored in real-time through blood glucose, blood pressure, and weight measurements, and attended telemedicine appointments with an obstetrician from admission to six weeks postpartum. RESULTS: The CSUQ results show a good acceptance of the use of the application by patients both in the global score and the different domains, Global, System utility (SYSUSE), Information Quality (INFOQUAL), and Interface quality (INTERQUAL). The satisfaction survey also shows good results in general and by domains. CONCLUSION: The findings of this study provide some suggestions for the implementation of a technological development and a care model from the patient's perspective.

Frontline perspectives on adoption and non-adoption of care management tools for high-risk patients in primary care.

BACKGROUND: Population health management tools (PHMTs) embedded within electronic health records (EHR) could improve management of high-risk patients and reduce costs associated with potentially avoidable emergency department visits or hospitalizations. Adoption of PHMTs across the Veterans Health Administration (VA) has been variable and previous research suggests that understaffed primary care (PC) teams might not be using the tools. METHODS: We conducted a retrospective content analysis of open-text responses (n = 1804) from the VA's 2018 national primary care personnel survey to, 1) identify system-level and individual-level factors associated with why clinicians are not using the tools, and 2) to document clinicians' recommendations to improve tool adoption. RESULTS: We found three themes pertaining to low adoption and/or tool use: 1) IT burden and administrative tasks (e.g., manually mailing letters to patients), 2) staffing shortages (e.g., nurses covering multiple teams), and 3) no training or difficulty using the tools (e.g., not knowing how to access the tools or use the data). Frontline clinician recommendations included automating some tasks, reconfiguring team roles to shift administrative work away from providers and nurses, consolidating PHMTs into a centralized, easily accessible repository, and providing training. CONCLUSIONS: Healthcare system-level factors (staffing) and individual-level factors (lack of training) can limit adoption of PHMTs that could be useful for reducing costs and improving patient outcomes. Future research, including qualitative interviews with clinicians who use/don't use the tools, could help develop interventions to address barriers to adoption. IMPLICATIONS: Shifting more administrative tasks to clerical staff would free up clinician time for population health management but may not be possible for understaffed PC teams. Additionally, healthcare systems may be able to increase PHMT use by making them more easily accessible through the electronic health record and providing training in their use.

Childhood cerebral adrenoleukodystrophy (CCALD) in France: epidemiology, natural history, and burden of disease - A population-based study.

BACKGROUND: X-linked adrenoleukodystrophy (ALD) is a rare metabolic and neurodegenerative disorder belonging to the group of leukodystrophies, with an estimated incidence around 1:25 000 newborns worldwide, mostly among men. Childhood Cerebral ALD (CCALD) is the most severe form with a poor prognosis if not properly treated during the first years of life. Currently, only allogeneic hematopoietic stem cell transplantation (allo-HSCT) is widely available for CCALD treatment. To date, there is a lack of data regarding CCALD epidemiology, natural history, and current management in France. This knowledge is crucial for the development of new therapies such as gene therapies. In this context, the French National Health Data System (SNDS) is a particularly indicated database to collect information meeting these needs. A non-interventional, national, real-life, retrospective study was performed using secondary data from the national ALD registry (LEUKOFRANCE) and SNDS. CCALD patients detected between 2009 and 2018 and successfully matched between LEUKOFRANCE and SNDS were included in this study. Index date was defined as the first CCALD event detected during study period. Subgroups of patients with sufficient follow-up (6 months) and history (1 year) available around index date were analyzed to assess CCALD burden and natural history. RESULTS: 52 patients were included into the matched cohort. Median annual incidence of CCALD was estimated at 4 patients. Median age at CCALD diagnosis was 7.0 years. Among patients without allo-HSCT, five-year overall survival was 66.6%, with 93.3% of them presenting at least one CCALD symptom and 62.1% presenting a least one major functional disability (MFD). Among patients with allo-HSCT, five-year overall survival was 94.4%, with only 11.1% of patients presenting CCALD symptoms, and 16.7% of presenting a MFD. Mean annualized costs were almost twice as important among patients without allo-HSCT, with 49,211€, 23,117€, respectively. Costs were almost exclusively represented by hospitalizations. CONCLUSIONS: To the best of our knowledge, this is the most up to date study analyzing CCALD epidemiology, clinical and economic burden in France. The necessity of a precocious management with HSCT highlight the potential benefits of including an expanded screening program among newborns, coupled with family screenings when a mutation is detected.

Effectiveness of a rehabilitation professional's advice and suggestions on a care manager's self-assessment scores of their care management.

[Purpose] To verify how advice or suggestions from rehabilitation professionals affect self-assessment by care managers. [Participants and Methods] This was a cross-sectional study in which a survey was administered to care managers from in-home care support offices in nine randomly selected municipalities. The survey was used to self-assess how the advice and suggestions from rehabilitation professionals affected the participant's care management process. [Results] Responses were received from 419 participants (response rate 11.3%). Of these responses, 388 (92.6% valid response rate) were analyzed, which revealed that 349 (89.9%) participants had received support from a rehabilitation professional, while 39 (10.1%) had not. Participants who had received support from a rehabilitation professional had significantly higher self-assessment scores than those who had not. Univariate and multiple regression analyses revealed that the factors affecting the self-assessment score were as follows: community care conferences as a support system was a negative factor and years of experience as a care manager was a positive factor. [Conclusion] Advice and suggestions from rehabilitation professionals affect improved care managers' self-assessment scores.