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Issue Brief: Survey Results Update

A Survey of Basic Resource Needs in KP Members Receiving Subsidized Insurance Coverage: How do they think Kaiser Permanente should support their needs?

November 2019

The KP-based Social Needs Network for Evaluation and Translation (SONNET) designed and conducted a survey in 2018-19 with support from KP National Community Health. SONNET randomly selected over 1,000 members with a subsidy from the Southern California region. The SONNET team reported in June 2019 on the survey design, sampling frame and the basic resource needs of this segment of KP members. In summary, members had trouble paying for medical needs, food, housing and utilities.

This report describes the demographics of the KP members who completed the survey and the proportion of the members who have basic resource needs compared to the proportion of members who want to receive help with these needs. We also share what kind of help members would like from their health care team and KP.

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Issue Brief: Survey Results

Results from a Sample of Kaiser Permanente Southern California Members

June 2019

In this report, we focus on four basic resource needs (housing, food, transportation, and utilities), and describe: 1) the prevalence of those needs in the last 3 months; 2) members’ desire for assistance from KP in addressing those needs; 3) and the extent to which KP has helped them address these needs. We randomly selected over 1,000 members with a subsidy from the Southern California region. An equal number of members ages 18-30, 30-64 and 65+ were invited to participate. The majority of participants who received subsidized insurance and were aged 65 and over were transitioning to Medicare; a minority retained a subsidized plan.
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Issue Brief:

Predictive Models for Social Determinants of Health in KP Members and Communities

September 2018

In this Issue Brief, a working group of SONNET investigators and colleagues from other KP departments discusses the role of predictive analytics in identifying basic resource needs and assessing their effect on health outcomes. We define predictive analytics as the development of statistical models “combining a number of characteristics (e.g. related to the patient, the disease, or treatment) to predict a diagnostic or prognostic outcome” (Amarasingham, 2014), Throughout, we highlight approaches to conduct predictive analytics at both the individual (member) level and the community level.

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Scoping Review:

Interventions to Identify and Address Basic Resource Needs in Kaiser Permanente Members

October 2018

This scoping review synthesizes evidence from KP-based interventions that have addressed basic resource needs between 2013-2018. The report was prepared by the Social Needs Network for Evaluation and Translation (SONNET), a consortium of researchers supported by KP Community Health.
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