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Feasibility of implementing an electronic social support and resource visualization tool for caregivers in a neuro-oncology clinic.

ABSTRACT: PURPOSE:The goals of this study were to assess the feasibility of a web-based application-electronic Social Network Assessment Program (eSNAP)-to automate the capture and visualization of family caregiver social network data of neuro-oncology patients. METHODS:Caregivers were recruited from a neuro-oncology clinic at an NCI-designated comprehensive cancer center. Participants completed baseline questionnaires on a laptop in clinic assessing demographic characteristics. After baseline, participants were randomly assigned to either create a social network visualization using eSNAP (intervention) or to usual care (control) condition. Those who used eSNAP provided likeability/usability data. All participants were asked to complete follow-up questionnaires at 3 and 6 weeks after baseline to determine feasibility of longitudinal study. RESULTS:We recruited 40 caregivers of patients with primary malignant brain tumor to participate in this study. Participants rated eSNAP usability and likeability highly, indicating that eSNAP would help them consider their available social support. At 3 weeks, 90% of participants completed questionnaires and 82.5% completed questionnaires at 6 weeks. CONCLUSIONS:There is a need to encourage family caregivers of patients with primary malignant brain tumor to engage their existing social network resources to help alleviate caregiver burden. Our findings suggest that our web-based application to address this issue is feasible to implement with high usability and likeability. This pilot study identified minor changes to the intervention to improve effectiveness and has implications for future research in this understudied population. TRIAL REGISTRATION:clinicaltrials.gov, protocol number NCT03026699.

SUBMITTER: Reblin M

PROVIDER: S-EPMC6204082 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

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Feasibility of implementing an electronic social support and resource visualization tool for caregivers in a neuro-oncology clinic.

Reblin Maija M Ketcher Dana D Forsyth Peter P Mendivil Eduardo E Kane Lauren L Pok Justin J Meyer Miriah M Wu Yelena P YP Agutter Jim J

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 20180612 12

<h4>Purpose</h4>The goals of this study were to assess the feasibility of a web-based application-electronic Social Network Assessment Program (eSNAP)-to automate the capture and visualization of family caregiver social network data of neuro-oncology patients.<h4>Methods</h4>Caregivers were recruited from a neuro-oncology clinic at an NCI-designated comprehensive cancer center. Participants completed baseline questionnaires on a laptop in clinic assessing demographic characteristics. After basel ...[more]

PMID: 29948397

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Project description:BackgroundSocial determinants of health are known to contribute to disparities in health outcomes. Routine screening for basic social needs is not a part of standard care; however, the association of those needs with increased healthcare utilization and poor compliance with guideline-directed care is well established.ObjectiveIn this study, we aimed to assess the prevalence of basic social resource needs identified through a quality improvement initiative in a gynecologic oncology outpatient clinic. In addition, we aimed to identify clinical and demographic factors associated with having basic social resource needs.Study designWe performed a prospective cohort study of women presenting to a gynecologic oncology clinic at an urban academic institution who were screened for basic social resource needs as part of a quality improvement initiative from July 2017 to May 2018. The following 8 domains of resource needs were assessed: food insecurity, housing insecurity, utility needs, financial strain, transportation, childcare, household items, and difficulty reading hospital materials. Women with needs were referred to resources to address those needs. Demographic and clinical information were collected for each patient. The prevalence of needs and successful follow-up interventions were calculated. Patient factors independently associated with having at least 1 basic social resource need were identified using multivariable Poisson regression.ResultsA total of 752 women were screened in the study period, of whom 274 (36%) reported 1 or more basic social resource need, with a median of 1 (range, 1-7) need. Financial strain was the most commonly reported need (171 of 752, 23%), followed by transportation (119 of 752, 16%), difficulty reading hospital materials (54 of 752, 7%), housing insecurity (31 of 752, 4%), food insecurity (28 of 752, 4%), household items (22 of 752, 3%), childcare (15 of 752, 2%), and utility needs (13 of 752, 2%). On multivariable analysis, independent factors associated with having at least 1 basic social resource need were being single, divorced or widowed, nonwhite race, current smoker, nonprivate insurance, and a history of anxiety or depression. A total of 36 of 274 (13%) women who screened positive requested assistance and were referred to resources to address those needs. Of the 36 women, 25 (69%) successfully accessed a resource or felt equipped to address their needs, 9 (25%) could not be reached despite repeated attempts, and 2 (6%) declined assistance.ConclusionBasic social resource needs are prevalent in women presenting to an urban academic gynecologic oncology clinic and can be identified and addressed through routine screening. To help mitigate ongoing disparities in this population, screening for and addressing basic social resource needs should be incorporated into routine comprehensive care in gynecologic oncology clinics.

Project description:BackgroundMinistries of health in low- and middle-income countries often lack timely quality data for data-driven decision making in healthcare networks. We describe the design and implementation of decision-support electronic tools by the Ministry of Health of the State of Chiapas, in Mexico, as part of Salud Mesoamerica Initiative.MethodsThree electronic decision-support tools were designed through an iterative process focused on streamlined implementation: 1) to collect and report health facility data at health facilities; 2) to compile and analyze data at health district and central level; and, 3) to support stratified sampling of health facilities. Data was collected for five composite indicators measuring availability of equipment, medicines, and supplies for maternal and child health. Quality Assurance Teams collected data, evaluated results and supported quality improvement. Data was also analyzed at the central level and health districts for decision-making.ResultsData from 300 health facilities in four health districts was collected and analyzed (November 2014-June 2015). The first wave revealed gaps on availability of equipment and supplies in more than half of health facilities. Electronic tools provided the ministry of health officers new ways to visualize data, identify patterns and make hypothesis on root-causes. Between the first and second measurement, the number of missing items decreased, and actions performed by quality improvement teams became more proactive. In the final measurement, 89.7-100% of all health facilities achieved all the required items for each indicator.ConclusionsOur experience could help guide others seeking to implement electronic decision-support tools in low- and middle-income countries. Electronic decision-support tools supported data-driven decision-making by identifying gaps on heatmaps and graphs at the health facility, subdistrict, district or state level. Through a rapid improvement process, the Ministry of Health met targets of externally verified indicators. Using available information technology resources facilitated prompt implementation and adoption of technology.

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Feasibility of implementing an electronic social support and resource visualization tool for caregivers in a neuro-oncology clinic.

Publications

Feasibility of implementing an electronic social support and resource visualization tool for caregivers in a neuro-oncology clinic.

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