Background: Clinical screening for basic social needs –such as food and housing insecurity – is becoming more common as health systems develop programs to address social determinants of health. Clinician attitudes toward such programs are largely unexplored. Objective: To describe the attitudes and experiences of social needs screening among a variety of clinicians and other health care professionals. Research Design: Multi-center electronic and paper-based survey. Subjects: Two hundred fifty-eight clinicians including primarily physicians, social workers, nurses, and pharmacists from a large integrated health system in Southern California. Measures: Level of agreement with prompts exploring attitudes toward and barriers to screening and addressing social needs in different clinical settings. Results: Overall, most health professionals supported social needs screening in clinical settings (84%). Only a minority (41%) of clinicians expressed confidence in their ability to address social needs, and less than a quarter (23%) routinely screen for social needs currently. Clinicians perceived lack of time to ask (60%) and resources (50%) to address social needs as their most significant barriers. We found differences by health profession in attitudes toward and barriers to screening for social needs, with physicians more likely to cite time constraints as a barrier. Conclusions: Clinicians largely support social needs programs, but they also recognize key barriers to their implementation. Health systems interested in implementing social needs programs should consider the clinician perspective around the time and resources required for such programs and address these perceived barriers.
The impacts of unmet health-related social needs, such as homelessness, inconsistent access to food, and exposure to violence on health and health care utilization, are well-established. Growing evidence indicates that addressing these and other needs can help reverse their damaging health effects, but screening for social needs is not yet standard clinical practice. In many communities, the absence of established pathways and infrastructure and perceptions of inadequate time to make community referrals are barriers that seem to often keep clinicians and their staff from broaching the topic. The Centers for Medicare & Medicaid Services (CMS) Accountable Health Communities Model, tested by the Center for Medicare and Medicaid Innovation, addresses this critical gap between clinical care and community services in the current health care delivery system by testing whether systematically identifying and addressing the health-related social needs of Medicare and Medicaid beneficiaries impacts their total health care costs and improves health. DISCUSSION PAPER Perspectives | Expert Voices in Health & Health Care With input from a panel of national experts and after review of existing screening instruments, CMS developed a 10-item screening tool to identify patient needs in 5 different domains that can be addressed through community services (housing instability, food insecurity, transportation difficulties, utility assistance needs, and interpersonal safety). Clinicians and their staff can use this short tool across a spectrum of ages, backgrounds, and settings, and it is streamlined enough to be incorporated into busy clinical workflows. Just like with clinical assessment tools, results from this screening tool can be used to inform a patient's treatment plan as well as make referrals to community services.
BACKGROUND: As more health care organizations integrate social needs screening and navigation programs into clinical care delivery, the patient perspective is necessary to guide implementation and achieve patient-centered care. OBJECTIVES: To examine patients' perceptions of whether social needs affect health and attitudes toward healthcare system efforts to screen for and address social needs. RESEARCH DESIGN: Multi-site, self-administered survey to assess (1) patient perceptions of the health impact of commonly identified social needs; (2) experience of social needs; (3) degree of support for a health system addressing social needs, including which social needs should be screened for and intervened upon; and (4) attitudes toward a health system utilizing resources to address social needs. Analyses were conducted using multivariable logistic regression models with clinic site cluster adjustment. SUBJECTS: Adult patients at seven primary care clinics within a large, integrated health system in Southern California. MAIN MEASURES: Survey measures of experience with, acceptability of, and attitudes toward clinical social determinants of health screening and navigation. KEY RESULTS: A total of 1161 patients participated, representing a 79% response rate. Most respondents (69%) agreed that social needs impact health and agreed their health system should ask about social needs (85%) and help address social needs (88%). Patients with social needs in the last year were more likely to (1) agree social needs impact health (OR 10.2, p < 0.001), (2) support their health system asking patients about social needs (OR 3.7, p < 0.001), and (3) support addressing patient social needs (OR 3.5, p < 0.001). Differences by social need history, gender, age, race, ethnicity, and education were found. CONCLUSIONS: Most patients at a large integrated health system supported clinical social needs screening and intervention. Differences in attitudes by social need history, gender, age, race, ethnicity, and education may indicate opportunities to develop more equitable, patientcentered approaches to addressing social needs.
BackgroundIdentification of potentially preventable readmissions is typically accomplished through manual review or automated classification. Little is known about the concordance of these methods.MethodsWe manually reviewed 459 30-day, all-cause readmissions at 18 Kaiser Permanente Northern California hospitals, determining potential preventability through a four-step manual review process that included a chart review tool, interviews with patients, their families, and treating providers, and nurse reviewer and physician evaluation of findings and determination of preventability on a five-point scale. We reassessed the same readmissions with 3 M’s Potentially Preventable Readmission (PPR) software. We examined between-method agreement and the specificity and sensitivity of the PPR software using manual review as the reference.ResultsAutomated classification and manual review respectively identified 78% (358) and 47% (227) of readmissions as potentially preventable. Overall, the methods agreed about the preventability of 56% (258) of readmissions. Using manual review as the reference, the sensitivity of PPR was 85% and specificity was 28%.ConclusionsConcordance between methods was not high enough to replace manual review with automated classification as the primary method of identifying preventable 30-day, all-cause readmission for quality improvement purposes.
Keeping patients and caregivers at the center of quality improvement is critical. Kaiser Permanente's Care Management Institute adapted video ethnography to achieve this aim, using video to capture interviews with-and observations of-patients and caregivers, identify patient-centered improvement opportunities, and communicate them effectively to clinical and administrative leaders and front-line staff. This method is particularly effective for helping understand the needs of frail elders, patients nearing the end of life, those with multiple chronic conditions, and other vulnerable people who are not well represented in focus groups and patient advisory councils. As part of an initiative to improve care transitions for elders with heart failure, video ethnography contributed to greatly reduced thirty-day hospital readmission rates, helping reduce readmissions at one medical center from 13.6 percent to 9 percent in six months. It also helped improve the reliability of the readmissions reduction program. When embedded within an established quality improvement framework, video ethnography can be an effective tool for innovating new solutions, improving existing processes, and spreading knowledge about how best to meet patient needs.
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