Dataset Information

Estimated Nonreimbursed Costs for Care Coordination for Children With Medical Complexity.

ABSTRACT: : media-1vid110.1542/5852348672001PEDS-VA_2017-3562Video Abstract BACKGROUND AND OBJECTIVES: Multidisciplinary care teams may improve health and control total cost for children with medical complexity (CMC). We aim to quantify the time required to perform nonreimbursed care coordination activities by a multidisciplinary care coordination program for CMC and to estimate the direct salary costs of that time. METHODS:From April 2013 to October 2015, program staff tracked time spent in practicably measured nonbilled care coordination efforts. Staff documented the discipline involved, the method used, and the target of the activity. Cost was estimated by multiplying the time spent by the typical salary of the type of personnel performing the activity. RESULTS:Staff logged 53?148 unique nonbilled care coordination activities for 208 CMC. Dietitians accounted for 26% of total time, physicians and nurse practitioners 24%, registered nurses 29%, and social workers 21% (1.8, 2.3, 1.2, and 1.4 hours per CMC per month per full-time provider, respectively). Median time spent in nonreimbursed care coordination was 2.3 hours per child per month (interquartile range 0.8-6.8). Enrollees required substantially greater time in their first program month than thereafter (median 6.7 vs 2.1 hours per CMC per month). Based on 2015 national salary data, the adjusted median estimated cost of documented activities ranged from $145 to $210 per CMC per month. CONCLUSIONS:In this multidisciplinary model, care coordination for CMC required substantial staff time, even without accounting for all activities, particularly in the first month of program enrollment. Continued advocacy is warranted for the reimbursement of care coordination activities for CMC.

SUBMITTER: Ronis SD

PROVIDER: S-EPMC6421831 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Estimated Nonreimbursed Costs for Care Coordination for Children With Medical Complexity.

Ronis Sarah D SD Grossberg Richard R Allen Rabon R Hertz Andrew A Kleinman Lawrence C LC

Pediatrics 20190101 1

: media-1vid110.1542/5852348672001PEDS-VA_2017-3562<b>Video Abstract</b> BACKGROUND AND OBJECTIVES: Multidisciplinary care teams may improve health and control total cost for children with medical complexity (CMC). We aim to quantify the time required to perform nonreimbursed care coordination activities by a multidisciplinary care coordination program for CMC and to estimate the direct salary costs of that time.<h4>Methods</h4>From April 2013 to October 2015, program staff tracked time spent in ...[more]

PMID: 30584061

Similar Datasets

Project description:ImportanceChildren with medical complexity (CMC) have chronic conditions and high health needs and may experience fragmented care.ObjectiveTo compare the effectiveness of a structured complex care program, Complex Care for Kids Ontario (CCKO), with usual care.Design, setting, and participantsThis randomized clinical trial used a waitlist variation for randomizing patients from 12 complex care clinics in Ontario, Canada, over 2 years. The study was conducted from December 2016 to June 2021. Participants were identified based on complex care clinic referral and randomly allocated into an intervention group, seen at the next available clinic appointment, or a control group that was placed on a waitlist to receive the intervention after 12 months.InterventionAssignment of a nurse practitioner-pediatrician dyad partnering with families in a structured complex care clinic to provide intensive care coordination and comprehensive plans of care.Main outcomes and measuresCo-primary outcomes, assessed at baseline and at 6, 12, and 24 months postrandomization, were service delivery indicators from the Family Experiences With Coordination of Care that scored (1) coordination of care among health care professionals, (2) coordination of care between health care professionals and families, and (3) utility of care planning tools. Secondary outcomes included child and parent health outcomes and child health care system utilization and cost.ResultsOf 144 participants randomized, 141 had complete health administrative data, and 139 had complete baseline surveys. The median (IQR) age of the participants was 29 months (9-102); 83 (60%) were male. At 12 months, scores for utility of care planning tools improved in the intervention group compared with the waitlist group (adjusted odds ratio, 9.3; 95% CI, 3.9-21.9; P < .001), with no difference between groups for the other 2 co-primary outcomes. There were no group differences for secondary outcomes of child outcomes, parent outcomes, and health care system utilization and cost. At 24 months, when both groups were receiving the intervention, no primary outcome differences were observed. Total health care costs in the second year were lower for the intervention group (median, CAD$17 891; IQR, 6098-61 346; vs CAD$37 524; IQR, 9338-119 547 [US $13 415; IQR, 4572-45 998; vs US $28 136; IQR, 7002-89 637]; P = .01).Conclusions and relevanceThe CCKO program improved the perceived utility of care planning tools but not other outcomes at 1 year. Extended evaluation periods may be helpful in assessing pediatric complex care interventions.Trial registrationClinicalTrials.gov Identifier: NCT02928757.

Project description:BackgroundChildren with medical complexity (CMC) are prone to medical errors and longer hospital stays, while residents do not feel prepared to provide adequate medical care for this vulnerable population. No educational guidance for the training of future pediatric tertiary care specialists outside their field of expertise involving the multidisciplinary care of CMC exists. We investigated pediatric residents past educational needs and challenges to identify key learning content for future training involving care for CMC.MethodsThis was a prospective mixed-methods study at a single pediatric tertiary care center. Qualitative semi-structured interviews with residents were conducted, submitted to thematic content analysis, linked to the American Board of Pediatrics (ABP) general pediatrics content outline, and analyzed with importance performance analysis (IPA). Quantitative validation was focused on key themes of pediatric nephrology within the scope of an online survey among pediatric residents and specialists.ResultsA total of 16 interviews, median duration 69 min [interquartile range IQR 35], were conducted. The 280 listed themes of the ABP general pediatrics content outline were reduced to 165 themes, with 86% (theoretical) knowledge, 12% practical skills, and 2% soft skills. IPA identified 23 knowledge themes to be of high importance where improvement is necessary and deemed fruitful. Quantitative validation among 84 residents and specialists (response rate 55%) of key themes in nephrology yielded high agreement among specialists in pediatric nephrology but low interrater agreement among trainees and "trained" non-nephrologists. The occurrence of themes in the qualitative interviews and their calculated importance in the quantitative survey were highly correlated (tau = 0.57, p = 0.001). Two clusters of high importance for other pediatric specialties emerged together with a contextual cluster of frequent encounters in both in- and outpatient care.ConclusionRegarding patient safety, this study revealed the heterogeneous aspects and the importance of training future pediatric tertiary care specialists outside their field of expertise involving the multidisciplinary care of CMC. Our results may lay the groundwork for future detailed analysis and development of training boot camps that might be able to aid the improvement of patient safety by decreasing preventable harm by medical errors, especially for vulnerable patient groups, such as CMC in tertiary care pediatrics.

Project description:IntroductionTechnological and medical advances have led to a growing population of children with medical complexity (CMC) defined by substantial medical needs, healthcare utilisation and morbidity. These children are at a high risk of missed, fragmented and/or inappropriate care, and families bear extraordinary financial burden and stress. While small in number (<1% of children), this group uses ~1/3 of all child healthcare resources, and need coordinated care to optimise their health. Complex care for kids Ontario (CCKO) brings researchers, families and healthcare providers together to develop, implement and evaluate a population-level roll-out of care for CMC in Ontario, Canada through a randomised controlled trial (RCT) design. The intervention includes dedicated key workers and the utilisation of coordinated shared care plans.Methods and analysisOur primary objective is to evaluate the CCKO intervention using a randomised waitlist control design. The waitlist approach involves rolling out an intervention over time, whereby all participants are randomised into two groups (A and B) to receive the intervention at different time points determined at random. Baseline measurements are collected at month 0, and groups A and B are compared at months 6 and 12. The primary outcome is the family-prioritized Family Experiences with Coordination of Care (FECC) survey at 12 months. The FECC will be compared between groups using an analysis of covariance with the corresponding baseline score as the covariate. Secondary outcomes include reports of child and parent health outcomes, health system utilisation and process outcomes.Ethics and disseminationResearch ethics approval has been obtained for this multicentre RCT. This trial will assess the effect of a large population-level complex care intervention to determine whether dedicated key workers and coordinated care plans have an impact on improving service delivery and quality of life for CMC and their families.Trial registration numberNCT02928757.

Dataset Information

Estimated Nonreimbursed Costs for Care Coordination for Children With Medical Complexity.

Publications

Estimated Nonreimbursed Costs for Care Coordination for Children With Medical Complexity.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets