Need for payer-provider partnerships in addressing social determinants of health

Intensity and Variation of Health Navigator Support: Addressing Medical and Social Needs of Diabetes Patients in East Oakland

BACKGROUND

Healthcare systems are increasingly screening and referring patients for unmet social needs (e.g., food insecurity). Little is known about the intensity of support necessary to address unmet needs, how this support may vary by circumstance or time (duration), or the factors that may contribute to this variation.

OBJECTIVE

Describe health navigator services and the effort required to support patients with complex needs at a community health center in East Oakland, CA.

DESIGN

Retrospective analysis of de-identified patient contact notes (e.g., progress notes).

PARTICIPANTS

Convenience sample of patients (n = 27) enrolled in diabetes education and referred to health navigators.

INTERVENTIONS

Navigators provide education on managing conditions (e.g., diabetes), initiate and track medical and social needs referrals, and navigate patients to medical and social care organizations.

MAIN MEASURES

Descriptive statistics for prevalence, mean, median, and range values of patient contacts and navigation services. We described patterns and variation in navigation utilization (both contacts and navigation services) based on types of need.

KEY RESULTS

We identified 811 unmet social and medical needs that occurred over 710 contacts with health navigators; 722 navigation services were used to address these needs. Patients were supported by navigators for a median of 9 months; approximately 25% of patients received support for > 1 year. We categorized patients into 3 different levels of social risk, accounting for patient complexity and resource needs. The top tertile (n = 9; 33%) accounted for the majority of resource utilization, based on health navigator contacts (68%) and navigation services (75%).

CONCLUSIONS

The required intensity and support given to meet patients' medical and social needs is substantial and has significant variation. Meeting the needs of complex patients will require considerable investments in human capital, and a risk stratification system to help identify those most in need of services.

Social needs of dual-enrolled Medicare-Medicaid patients with medication nonadherence in a telehealth medication therapy management program

BACKGROUND: Telehealth services that identify and address the social needs of patients can improve access to health care and social services. The social needs of medication therapy management (MTM)-eligible Medicare-Medicaid dual-enrolled patients are unknown. OBJECTIVE: To describe the social needs of Medicare-Medicaid dual-enrolled patients participating in a telephonic MTM program. METHODS: This study evaluated the findings of a social needs survey implemented within a telehealth MTM program. Surveys were offered telephonically to eligible Medicare-Medicaid patients of one insurance plan who were identified with medication nonadherence between July 13, 2020, and December 31, 2020. This study described patients who completed the survey during provision of a comprehensive medication review (CMR). Questions screened for social needs in the following social determinant of health domains: community and social context, economic stability, and neighborhood and physical environment. Descriptive statistics were used to describe results. RESULTS: Among 461 patients who completed CMRs, 358 completed the social needs survey. The most prevalent needs and concerns identified included lacking support to perform daily activities (165 [47%]), lacking companionship (81 [23%]), feeling left out (71 [20%]), feeling isolated (81 [23%]), not having enough money to pay bills (177 [49%]), worrying about running out of food (77 [22%]), or having run out of food within the last 12 months (81 [23%]). In this sample, 54 (15%) patients reported avoiding a provider visit because of transportation barriers. Certain individuals were without a steady place to live or were worried about losing their home (40 [11%]) and 35 (10%) reported struggling to keep a job. CONCLUSIONS: The identification of social needs among patient populations is necessary to reduce barriers to medication adherence and optimize health care utilization. This study described important social needs identified during the provision of a telehealth CMR among MTM-eligible Medicare-Medicaid dual-enrolled patients. DISCLOSURES: Dr Nahata was supported in part by the Avatar Foundation. Dr Silva Almodóvar works as a research pharmacist within a medication management program, which provides medication therapy management services.

Procurement and use of social determinants of health data among key health care stakeholders

BACKGROUND: A growing body of evidence supports the need for health systems to shift towards addressing social determinants of health (SDoH) as part of routine care. However, little is known about the state of the industry in terms of procurement and use of SDoH data. OBJECTIVES: To assess stakeholders' perceptions and experiences in collecting and utilizing SDoH data. METHODS: A prospective, cross-sectional study was conducted using a 24-item electronic survey. The pilot-tested survey was distributed to a diverse convenience sample of 94 health care stakeholder organizations that are members of the Pharmacy Quality Alliance organization. Survey responses were collected from November to December 2020. Descriptive statistics were used to analyze responses. RESULTS: A total of 25 respondents completed the survey (response rate = 26.6%). More than half (n = 14, 56.0%) collected and tracked SDoH data, and of those, most (n = 6, 42.85%) reported using organization-specific tools instead of standardized SDoH tools. Economic stability and health and health care indicators were the most frequently identified types of SDoH data collected. Participants reported that both identifying (mean = 3.88 ± SD = 0.88; 1 = not important to 5 = extremely important) and addressing (3.88 ± 0.93) patients' SDoH were moderately important to their organization. Lack of standard data format (72.0%), lack of time (52.0%), and lack of technological capabilities (44.0%) were the most commonly reported barriers to collecting SDoH data. However, value-based payment programs that reward addressing SDoH needs (76.0%) and a coding structure or reimbursement mechanism for identification and management of SDoH (60.0%) were most commonly reported as mechanisms to overcome SDoH data collection barriers. CONCLUSIONS: Health care stakeholders consider patient SDoH indicators important but report significant challenges in collecting these data. Solutions that address data standardization, time burden, technological barriers, and the offering of incentives could facilitate its collection and effective use. DISCLOSURES: Pharmacy Quality Alliance received an unrestricted grant from Pfizer, Inc, to support this work.