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1.
Prof Case Manag ; 25(6): 324-334, 2020.
Article in English | MEDLINE | ID: mdl-33017368

ABSTRACT

PURPOSE OF STUDY: To estimate time allocation and labor cost for care coordinators (CCs), community health workers (CHWs), and mental health workers (MHWs) to conduct care coordination tasks in a pediatric care coordination program. PRIMARY PRACTICE SETTING: A public tertiary academic medical center in Chicago, IL. METHODOLOGY AND SAMPLE: A work-sampling study was conducted using a text message-based survey on 5 CCs, 20 CHWs, and 4 MHWs who volunteered to participate. Workers were randomly sampled within working hours to collect information on who was the subject of interaction and what service was being delivered over a 6-month period. Time allocation of workers to different subjects and services was summarized using descriptive statistics. RESULTS: Care coordinators allocated 41% of their time to managing CHW teams. Community health workers allocated 37% of time providing services directly to children and 26% to the parent/caregiver. Mental health workers allocated 16% of time providing services to children and 29% to the parent/caregiver. The care coordination program serviced 5,965 patients, with a total annual labor cost of $1,455,353. IMPLICATIONS FOR CASE MANAGEMENT PRACTICE: Community health workers spent the majority of time working with patients and their families to conduct assessments. Mental health workers primarily addressed children's needs through their caregivers. Care coordinators primarily supported CHWs in coordinating care. Results may be used to inform development of such programs by determining services most often utilized, and labor cost may be used to inform program implementation and reimbursement.


Subject(s)
Pediatric Nursing/economics , Pediatric Nursing/statistics & numerical data , Primary Health Care/economics , Primary Health Care/statistics & numerical data , Therapies, Investigational/statistics & numerical data , Time and Motion Studies , Academic Medical Centers/economics , Academic Medical Centers/statistics & numerical data , Adolescent , Adult , Caregivers/economics , Caregivers/statistics & numerical data , Case Managers/economics , Case Managers/statistics & numerical data , Chicago , Child , Child, Preschool , Chronic Disease/economics , Chronic Disease/therapy , Female , Hospitals, Public/economics , Hospitals, Public/statistics & numerical data , Humans , Infant , Infant, Newborn , Male , Middle Aged , Nursing Staff, Hospital/economics , Nursing Staff, Hospital/statistics & numerical data , Sampling Studies , Tertiary Care Centers/economics , Tertiary Care Centers/statistics & numerical data , Therapies, Investigational/economics
2.
Health Promot Pract ; 20(3): 409-418, 2019 05.
Article in English | MEDLINE | ID: mdl-29611433

ABSTRACT

Health care systems across the United States are considering community health worker (CHW) services for high-risk patients, despite limited data on how to build and sustain effective CHW programs. We describe the process of providing CHW services to 5,289 at-risk patients within a state-run health system. The program includes 30 CHWs, six care coordinators, the Director of Care Coordination, the Medical Director, a registered nurse, mental health specialists, and legal specialists. CHWs are organized into geographic and specialized teams. All CHWs receive basic training that includes oral and mental health; some receive additional disease-specific training. CHWs develop individualized care coordination plans with patients. The implementation of these plans involves delivery of a wide range of social service and coordination support. The number of CHW contacts is determined by patient risk. CHWs spend about 60% of their time in an office setting. To deliver the program optimally, we had to develop multiple CHW job categories that allow for CHW specialization. We created new technology systems to manage operations. Field issues resulted in program changes to improve service delivery and ensure safety. Our experience serves as a model for how to integrate CHWs into clinical and community systems.


Subject(s)
Child Welfare/statistics & numerical data , Community Health Services/organization & administration , Community Health Workers/organization & administration , Rural Population/statistics & numerical data , Child , Child Development/physiology , Delivery of Health Care , Female , Humans
3.
J Child Health Care ; 21(3): 263-272, 2017 Sep.
Article in English | MEDLINE | ID: mdl-29119824

ABSTRACT

Children with medical complexity (CMC) account for a disproportionate share of pediatric health-care utilization and cost that is largely attributable to long hospitalizations, frequent hospital readmissions, and high use of emergency departments. In response, the Centers for Medicare and Medicaid Services Health Care Innovation Center supports the development and testing of innovative health-care payment and service delivery models. The purpose of this article is to describe the CMS-funded coordinated health care for complex kids (CHECK) program, an innovative system of health-care delivery that provides improved, comprehensive, and well-coordinated services to CMC. The CHECK program uses a combination of high-tech and low-tech interventions to connect patients, stakeholders, and providers. It is anticipated that the investment in additional support services to CMC will result in improved quality of care that leads to a reduction in unnecessary inpatient hospitalizations, readmissions, and emergency department visits and a total cost savings. The CHECK program has the potential to inform future cost-effective health-care models aimed at improving the quality of life and care for CMC and their families.


Subject(s)
Chronic Disease/therapy , Delivery of Health Care/organization & administration , Diffusion of Innovation , Centers for Medicare and Medicaid Services, U.S./economics , Child , Continuity of Patient Care/organization & administration , Hospitalization , Humans , Quality of Life , Reimbursement Mechanisms/economics , Telemedicine/statistics & numerical data , United States
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