Care management improves total cost of care for patients with dementia.

OBJECTIVES: To examine a 12-month dementia care management program's effect on health care cost, utilization, and overall return on investment in a Medicare managed care population. STUDY DESIGN: Pre-post analysis of participants (n = 121) enrolled in Ochsner's Care Ecosystem program from 2019 through 2021 compared with propensity-matched controls (n = 121). The primary outcome comparison was total cost of care. Secondary outcomes included components of total cost of care (eg, inpatient, outpatient, emergency department [ED] costs), health care utilization (eg, number of ED visits), and differences in Hierarchical Condition Category (HCC) risk scores. METHODS: Difference-in-differences analyses were conducted from baseline through 12 months comparing various financial metrics and utilization between groups. RESULTS: Care Ecosystem participants had significantly lower total cost of care at 12 months, mean savings of $475.80 per member per month compared with controls. Care Ecosystem participants had fewer ED, outpatient, and professional visits. HCC risk scores were also better relative to matched controls. CONCLUSIONS: A collaborative dementia care program demonstrated significant financial benefit in a managed Medicare population.

Improving clinical documentation of evaluation and management care and patient acuity improves reimbursement as well as quality metrics.

OBJECTIVE: Accurate documentation of patient care and acuity is essential to determine appropriate reimbursement as well as accuracy of key publicly reported quality metrics. We sought to investigate the impact of standardized note templates by inpatient advanced practice providers (APPs) on evaluation and management (E/M) charge capture, including outside of the global surgical package (GSP), and quality metrics including case mix index (CMI) and mortality index (MI). We hypothesized this clinical documentation initiative as well as improved coding of E/M services would result in increased reimbursement and quality metrics. METHODS: A documentation and coding initiative on the heart and vascular service line was initiated in 2016 with focus on improving inpatient E/M capture by APPs outside the GSP. Comprehensive training sessions and standardized documentation templates were created and implemented in the electronic medical record. Subsequent hospital care E/M (current procedural terminology codes 99231, 99232, 99233) from the years 2015 to 2017 were audited and analyzed for charge capture rates, collections, work relative value units (wRVUs), and billing complexity. Data were compared over time by standardizing CMS values and reimbursement rates. In addition, overall CMI and MI were calculated each year. RESULTS: One year following the documentation initiative, E/M charges on the vascular surgery service line increased by 78.5% with a corresponding increase in APP charges from 0.4% of billable E/M services to 70.4% when compared with pre-initiative data. The charge capture of E/M services among all inpatients rose from 21.4% to 37.9%. Additionally, reimbursement from CMS increased by 65% as total work relative value units generated from E/M services rose by 78.4% (797 to 1422). The MI decreased over the study period by 25.4%. Additionally, there was a corresponding 5.6% increase in the cohort CMI. Distribution of E/M encounter charges did not vary significantly. Meanwhile, the prevalence of 14 clinical comorbidities in our cohort as well as length of stay (P = .88) remained non-statistically different throughout the study period. CONCLUSIONS: Accurate clinical documentation of E/M care and ultimately inpatient acuity is critical in determining quality metrics that serve as important measures of overall hospital quality for CMS value-based payments and rankings. A system-based documentation initiative and expanded role of inpatient APPs on vascular surgery teams significantly improved charge capture and reimbursement outside the GSP as well as CMI and MI in a consistently complex patient population.

Use of Latent Class Analysis and k-Means Clustering to Identify Complex Patient Profiles.

Importance: Medically complex patients are a heterogeneous group that contribute to a substantial proportion of health care costs. Coordinated efforts to improve care and reduce costs for this patient population have had limited success to date. Objective: To define distinct patient clinical profiles among the most medically complex patients through clinical interpretation of analytically derived patient clusters. Design, Setting, and Participants: This cohort study analyzed the most medically complex patients within Kaiser Permanente Northern California, a large integrated health care delivery system, based on comorbidity score, prior emergency department admissions, and predicted likelihood of hospitalization, from July 18, 2018, to July 15, 2019. From a starting point of over 5000 clinical variables, we used both clinical judgment and analytic methods to reduce to the 97 most informative covariates. Patients were then grouped using 2 methods (latent class analysis, generalized low-rank models, with k-means clustering). Results were interpreted by a panel of clinical stakeholders to define clinically meaningful patient profiles. Main Outcomes and Measures: Complex patient profiles, 1-year health care utilization, and mortality outcomes by profile. Results: The analysis included 104 869 individuals representing 3.3% of the adult population (mean [SD] age, 70.7 [14.5] years; 52.4% women; 39% non-White race/ethnicity). Latent class analysis resulted in a 7-class solution. Stakeholders defined the following complex patient profiles (prevalence): high acuity (9.4%), older patients with cardiovascular complications (15.9%), frail elderly (12.5%), pain management (12.3%), psychiatric illness (12.0%), cancer treatment (7.6%), and less engaged (27%). Patients in these groups had significantly different 1-year mortality rates (ranging from 3.0% for psychiatric illness profile to 23.4% for frail elderly profile; risk ratio, 7.9 [95% CI, 7.1-8.8], P < .001). Repeating the analysis using k-means clustering resulted in qualitatively similar groupings. Each clinical profile suggested a distinct collaborative care strategy to optimize management. Conclusions and Relevance: The findings suggest that highly medically complex patient populations may be categorized into distinct patient profiles that are amenable to varying strategies for resource allocation and coordinated care interventions.

Exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and manager's in nursing homes in England and Sweden: a survey protocol.

INTRODUCTION: In order to avoid unnecessary hospital admission and associated complications, there is an urgent need to improve the early detection of infection in nursing home residents. Monitoring signs and symptoms with checklists or aids called decision support tools may help nursing home staff to detect infection in residents, particularly during the current COVID-19 pandemic.We plan to conduct a survey exploring views and experiences of how infections are detected and managed in practice by nurses, care workers and managers in nursing homes in England and Sweden. METHODS AND ANALYSIS: An international cross-sectional descriptive survey, using a pretested questionnaire, will be used to explore nurses, care workers and managers views and experiences of how infections are detected and managed in practice in nursing homes. Data will be analysed descriptively and univariate associations between personal and organisational factors explored. This will help identify important factors related to awareness, knowledge, attitudes, belief and skills likely to affect future implementation of a decision support tool for the early detection of infection in nursing home residents. ETHICS AND DISSEMINATION: This study was approved using the self-certification process at the University of Surrey and Linköping University ethics committee (Approval 2018/514-32) in 2018. Study findings will be disseminated through community/stakeholder/service user engagement events in each country, publication in academic peer-reviewed journals and conference presentations. A LAY summary will be provided to participants who indicate they would like to receive this information.This is the first stage of a plan of work to revise and evaluate the Early Detection of Infection Scale (EDIS) tool and its effect on managing infections and reducing unplanned hospital admissions in nursing home residents. Implementation of the EDIS tool may have important implications for the healthcare economy; this will be explored in cost-benefit analyses as the work progresses.

The complex health seeking pathway of a human African trypanosomiasis patient in Côte d'Ivoire underlines the need of setting up passive surveillance systems.

BACKGROUND: Significant efforts to control human African trypanosomiasis (HAT) over the two past decades have resulted in drastic decrease of its prevalence in Côte d'Ivoire. In this context, passive surveillance, integrated in the national health system and based on clinical suspicion, was reinforced. We describe here the health-seeking pathway of a girl who was the first HAT patient diagnosed through this strategy in August 2017. METHODS: After definitive diagnosis of this patient, epidemiological investigations were carried out into the clinical evolution and the health and therapeutic itinerary of the patient before diagnosis. RESULTS: At the time of diagnosis, the patient was positive in both serological and molecular tests and trypanosomes were detected in blood and cerebrospinal fluid. She suffered from important neurological disorders. The first disease symptoms had appeared three years earlier, and the patient had visited several public and private peripheral health care centres and hospitals in different cities. The failure to diagnose HAT for such a long time caused significant health deterioration and was an important financial burden for the family. CONCLUSION: This description illustrates the complexity of detecting the last HAT cases due to complex diagnosis and the progressive disinterest and unawareness by both health professionals and the population. It confirms the need of implementing passive surveillance in combination with continued sensitization and health staff training.

Economic outcomes of insurer-led care management for high-cost Medicaid patients.

OBJECTIVES: To evaluate the impact of the Community-Based Care Management (CBCM) program on total costs of care and utilization among adult high-need, high-cost patients enrolled in a Medicaid managed care organization (MCO). CBCM was a Medicaid insurer-led care coordination and disease management program staffed by nurse care managers paired with community health workers. STUDY DESIGN: Retrospective cohort analysis. METHODS: We obtained deidentified health plan claims data, enrollment information, and the MCO's monthly registry of the top 10% of costliest patients. The analysis included 896 patients enrolled in CBCM over the course of 2 years (January 2016 to December 2017) and a propensity score-matched cohort of high-cost patients (n = 2152) who received primary care at sites that did not participate in CBCM during the same time period. The primary outcomes were total costs of care and utilization in the 12-month period after enrollment. Secondary outcomes included utilization by care setting: outpatient, inpatient, emergency department, pharmacy, postacute care, and all other remaining sites. We used zero-inflated gamma and Poisson regression models to estimate average differences in postperiod costs and utilization between CBCM enrollees versus non-CBCM enrollees. RESULTS: We did not observe meaningful differences in total costs or visit frequency among CBCM enrollees relative to non-CBCM enrollees. CONCLUSIONS: Although our study found no association between the CBCM program and subsequent cost or utilization outcomes, understanding why these outcomes were not achieved will inform how future Medicaid programs are designed to achieve better patient outcomes and lower costs.

Cost-effectiveness analysis of an outreach model of Hepatitis C Virus (HCV) assessment to facilitate HCV treatment in primary care.

The effects of hepatitis C virus (HCV), such as morbidity and mortality associated with cirrhosis and liver cancer, is a major public health issue in Australia. Highly effective treatment has recently been made available to all Australians living with HCV. A decision-analytic model was developed to evaluate the cost-effectiveness of the hepatology partnership, compared to usual care. A Markov model was chosen, as it is state-based and able to include recursive events, which accurately reflects the natural history of the chronic and repetitive nature of HCV. Cost-effectiveness of the new model of care is indicated by the incremental cost-effectiveness ratio (ICER), where the mean change to costs associated with the new model of care is divided by the mean change in quality adjusted life-years (QALYs). Ten thousand iterations of the model were run, with the majority (73%) of ICERs representing cost-savings. In comparison to usual care, the intervention improves health outcomes (22.38 QALYs gained) and reduces costs by $42,122 per patient. When compared to usual care, a partnership approach to management of HCV is cost-effective and good value for money, even when key model parameters are changed in scenario analyses. Reduction in costs is driven by improved efficiency of the new model of care, where more patients are treated in a timely manner, away from the expensive tertiary setting. From an economic perspective, a reduction in hospital-based care is a positive outcome and represents a good investment for decision-makers who wish to maximise health gain per dollar spent.

The COVID-19 Pandemic: Effects on Low- and Middle-Income Countries.

Coronavirus disease 2019 (COVID-19) is spreading rapidly around the world with devastating consequences on patients, health care workers, health systems, and economies. As it reaches low- and middle-income countries, its effects could be even more dire, because it will be difficult for them to respond aggressively to the pandemic. There is a great shortage of all health care providers, who will be at risk due to a lack of personal protection equipment. Social distancing will be almost impossible. The necessary resources to treat patients will be in short supply. The end result could be a catastrophic loss of life. A global effort will be required to support faltering economies and health care systems.

Patient outcomes associated with tailored hospital programs for intellectual disabilities.

OBJECTIVES: Hospitals have begun designing programs tailored to patients with intellectual disabilities to address their specific healthcare needs and social determinants of health. This study aimed to determine whether these programs improve hospital outcomes for patients with intellectual disabilities. STUDY DESIGN: This cross-sectional, retrospective study analyzed data for patients with a primary or secondary diagnosis of intellectual disability and/or autism who were discharged from 5 hospitals participating in Vizient's Clinical Data Base/Resource Manager between January 2010 and September 2018. METHODS: Generalized linear regression models were constructed to test the association between tailored program status and length of stay, cost, and cost per day, and a binary logistic regression model was constructed to test the association between tailored program status and 30-day readmission. A secondary analysis stratified patients by 3M All Patient Refined Diagnosis Related Groups grouper (the standard for inpatient classification) admission severity of illness (ASOI) score. RESULTS: Of the 6618 patients included in the study, 29% were treated at hospitals with tailored programs. After controlling for patient demographic characteristics and clinical factors, patients treated at hospitals without programs had higher total costs (relative risk [RR], 1.06; P = .038) and cost per day (RR, 1.11; P <.001). Patients with an extreme ASOI score who were treated at hospitals without programs had significantly longer stays (RR, 1.38; P = .001), higher total cost (RR, 1.42; P <.001), and higher cost per day (RR, 1.10; P = .025) than patients treated at hospitals with programs. CONCLUSIONS: Providing tailored programs for patients with intellectual disabilities is a promising strategy for improving inpatient care for this population.

Who Benefits Most from Collaborative Dementia Care from a Patient and Payer Perspective? A Subgroup Cost-Effectiveness Analysis.

BACKGROUND: Dementia care management (DCM) aims to provide optimal treatment for people with dementia (PwD). Treatment and care needs are dependent on patients' sociodemographic and clinical characteristics and thus, economic outcomes could depend on such characteristics. OBJECTIVE: To detect important subgroups that benefit most from DCM and for which a significant effect on cost, QALY, and the individual cost-effectiveness could be achieved. METHODS: The analysis was based on 444 participants of the DelpHi-trial. For each subgroup, the probability of DCM being cost-effective was calculated and visualized using cost-effectiveness acceptability curves. The impact of DCM on individual costs and QALYs was assessed by using multivariate regression models with interaction terms. RESULTS: The probability of DCM being cost-effective at a willingness-to-pay of 40,000€ /QALY was higher in females (96% versus 16% for males), in those living alone (96% versus 26% for those living not alone), in those being moderately to severely cognitively (100% versus 3% for patients without cognitive impairment) and functionally impaired (97% versus 16% for patients without functional impairment), and in PwD having a high comorbidity (96% versus 26% for patients with a low comorbidity). Multivariate analyses revealed that females (b = -10,873; SE = 4,775, p = 0.023) who received the intervention had significantly lower healthcare cost. DCM significantly improved QALY for PwD with mild and moderate cognitive (b = +0.232, SE = 0.105) and functional deficits (b = +0.200, SE = 0.095). CONCLUSION: Patients characteristics significantly affect the cost-effectiveness. Females, patients living alone, patients with a high comorbidity, and those being moderately cognitively and functionally impaired benefit most from DCM. For those subgroups, healthcare payers could gain the highest cost savings and the highest effects on QALYs when DCM will be implemented.

Risk factors, costs and complications of delayed hospital discharge from internal medicine wards at a Canadian academic medical centre: retrospective cohort study.

BACKGROUND: Hospitalized patients are designated alternate level of care (ALC) when they no longer require hospitalization but discharge is delayed while they await alternate disposition or living arrangements. We assessed hospital costs and complications for general internal medicine (GIM) inpatients who had delayed discharge. In addition, we developed a clinical prediction rule to identify patients at risk for delayed discharge. METHODS: We conducted a retrospective cohort study of consecutive GIM patients admitted between 1 January 2015 and 1 January 2016 at a large tertiary care hospital in Canada. We compared hospital costs and complications between ALC and non-ALC patients. We derived a clinical prediction rule for ALC designation using a logistic regression model and validated its diagnostic properties. RESULTS: Of 4311 GIM admissions, 255 (6%) patients were designated ALC. Compared to non-ALC patients, ALC patients had longer median length of stay (30.85 vs. 3.95 days p < 0.0001), higher median hospital costs ($22,459 vs. $5003 p < 0.0001) and more complications in hospital (25.5% vs. 5.3% p < 0.0001) especially nosocomial infections (14.1% vs. 1.9% p < 0.0001). Sensitivity analyses using propensity score and pair matching yielded similar results. In a derivation cohort, seven significant risk factors for ALC were identified including age > =80 years, female sex, dementia, diabetes with complications as well as referrals to physiotherapy, occupational therapy and speech language pathology. A clinical prediction rule that assigned each of these predictors 1 point had likelihood ratios for ALC designation of 0.07, 0.25, 0.66, 1.48, 6.07, 17.13 and 21.85 for patients with 0, 1, 2, 3, 4, 5, and 6 points respectively in the validation cohort. CONCLUSIONS: Delayed discharge is associated with higher hospital costs and complication rates especially nosocomial infections. A clinical prediction rule can identify patients at risk for delayed discharge.

Improving the Quality of Chronic Wound Care Using an Advanced Wound Management Program and Gentian Violet/Methylene Blue-Impregnated Antibacterial (GV/MB) Dressings: A Retrospective Study.

INTRODUCTION: Comprehensive wound management programs that employ a standardized integrated care bundle (ICB) and advanced wound dressings are generally recognized to decrease healing times and treatment costs. The purpose of this study was to compare wound healing rates and cost efficiencies as measured by nursing-care requirements for patients not on an ICB versus patients on an ICB and using a gentian violet/methylene blue-impregnated (GV/MB) antimicrobial advanced wound dressing. MATERIALS AND METHODS: The comprehensive wound management programs enabled continuous, standardized measurement of each patient's wound episode from admission with a wound to healing and discharge. Data was recorded over 24 months from 2016 to 2018. The variables recorded for each patient included: wound healing time (number of weeks), wound acuity based on the Bates-Jensen Wound Assessment Tool (BWAT), a comorbidity index (using the Charlson Comorbidity Index), and the number of wound dressing changes. The wound dressing changes required a visit by a registered nurse and, therefore, served as an indicator of care delivery costs where the dressing change visit cost was $68 (CAD). RESULTS: A total of 6300 patients (25% of the total study population) were identified as using GV/MB dressings within the context of an ICB. The mean healing time for these patients was accelerated more than 50% versus patients not on an ICB. The average total cost of patient care was reduced by more than 75% from diagnosis to wound healing when patients were on an ICB with GV/MB dressings. These results compared well to patients on ICBs that had other types of advanced dressings. CONCLUSION: The study demonstrates that a comprehensive wound management program based on integrated care bundles in conjunction with GV/MB dressings can be a highly-effective clinical option. The benefits showed significant reductions in healing times and treatment costs.

Healthcare costs of the SATisfaction and adherence to COPD treatment (SAT) study follow-up.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is characterised by recurring exacerbations. We estimated the costs of healthcare resources for COPD management funded by the Italian National Healthcare Service (INHS) for one year. METHODS: We examined the demographic, clinical, and economic variables at enrolment and follow-up visits (at 6 and 12 months) of COPD patients participating in the SAT study and referred to 20 Italian pulmonary centres with different institutional characteristics. Costs were expressed in Euro (€) 2018. A random effects log-linear panel regression model was performed to predict the average cost per patient. RESULTS: Most of the centres were public institutions (90%; public university hospital: 30%). The total average cost of COPD was €2647.38/patient and ICS/LABA/LAMA therapy contributed the most (€1541.45). The average cost was €6206.19/patient for severe COPD (+139.67% vs the cost/patient with mild or moderate COPD). The regression model showed that, others things being equal, increases in the predicted average logged cost per patient were due to liquid oxygen therapy (+468.31%), three COPD exacerbations during the follow-up (+254.54%), and ICS/LABA or ICS/LABA/LAMA associated therapy (+59.26%). Moreover, a 1.19% increment was observed for each additional score of the CAT questionnaire. Conversely, a 36.52% reduction in the predicted average logged cost was reported for hospitals managed by local healthcare authorities. CONCLUSIONS: The health econometric approach is innovative in the management of COPD patients in Italy. The results of the random effects log-linear panel data regression model may help clinicians estimate INHS costs when managing COPD patients. Clinicaltrials.gov ID# NCT02689492.

Neighborhood-level and individual-level socioeconomic status and self-reported management of ischaemic heart disease: cross-sectional results from the Korea Health Examinees Study.

OBJECTIVE: Several studies identified neighbourhood context as a predictor of prognosis in ischaemic heart disease (IHD). The present study investigates the relationships of neighborhood-level and individual-level socioeconomic status with the odds of ongoing management of IHD, using baseline survey data from the Korea Health Examinees-Gem study. DESIGN: In this cross-sectional study, we estimated the association of the odds of self-reported ongoing management with the neighborhood-level income status and percentage of college graduates after controlling for individual-level covariates using two-level multilevel logistic regression models based on the Markov Chain Monte Carlo function. SETTING: A survey conducted at 17 large general hospitals in major Korean cities and metropolitan areas during 2005-2013. PARTICIPANTS: 2932 adult men and women. OUTCOME MEASURE: The self-reported status of management after incident angina or myocardial infarction. RESULTS: At the neighbourhood level, residence in a higher-income neighbourhood was associated with the self-reported ongoing management of IHD, after controlling for individual-level covariates [OR: 1.22, 95% credible interval (CI): 1.01 to 1.61). At the individual level, higher education was associated with the ongoing IHD management (high school graduation, OR: 1.33, 95% CI: 1.08 to 1.65); college or higher, OR: 1.63, 95% CI: 1.22 to 2.12; reference, middle school graduation or below). CONCLUSIONS: Our study suggests that policies or interventions aimed at improving the quality and availability of medical resources in low-income areas may associate with ongoing IHD management. Moreover, patient-centred education is essential for ongoing IHD management, especially when targeted to patients with IHD with a low education level.