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Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study.

ABSTRACT: BACKGROUND:Programs addressing social determinants of health for high-utilizing patients are gaining interest among health systems as an avenue to promote health and decrease utilization. OBJECTIVE:To evaluate impacts of a social needs screening and navigation program for adult predicted high utilizers on total medical visit utilization. DESIGN:A prospective, quasi-experimental study using an intent-to-treat propensity-weighted difference-in-differences approach. Stratified analyses assessed intervention effects among three low-socioeconomic status sub-samples: patients in low-income areas, in low-education areas, and with Medicaid insurance. PARTICIPANTS:Predicted high utilizers-patients predicted to be in the highest 1% for total utilization in a large integrated health system. INTERVENTION:A telephonic social needs screening and navigation program. MAIN MEASURES:Primary difference-in-difference analyses compared total visit count utilization, including outpatient, emergency department (ED), and inpatient utilization, between the intervention and control groups at both in-network and out-of-network facilities. Prevalence of social needs among sample patients and their connection rates to social needs resources are also described. KEY RESULTS:The study included 34,225 patients (7107 intervention, 27,118 control). Most (53%) patients screened reported social needs, but only a minority (10%) of those with a need were able to connect with resources to address these needs. Primary analysis found total utilization visits decreased 2.2% (95% CI -?4.5%, 0.1%; p?=?0.058) in the intervention group. Stratified analyses showed decreases in total utilization for all low-socioeconomic status subgroups receiving the intervention compared with controls: -?7.0% (95% CI -?11.9%, -?1.9%; p?=?0.008) in the low-income area group, -?11.5% (-?17.6%, 5.0%; p?

SUBMITTER: Schickedanz A

PROVIDER: S-EPMC6848288 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study.

Schickedanz Adam A Sharp Adam A Hu Yi R YR Shah Nirav R NR Adams John L JL Francis Damon D Rogers Artair A

Journal of general internal medicine 20191101 11

<h4>Background</h4>Programs addressing social determinants of health for high-utilizing patients are gaining interest among health systems as an avenue to promote health and decrease utilization.<h4>Objective</h4>To evaluate impacts of a social needs screening and navigation program for adult predicted high utilizers on total medical visit utilization.<h4>Design</h4>A prospective, quasi-experimental study using an intent-to-treat propensity-weighted difference-in-differences approach. Stratified ...[more]

PMID: 31228054

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Project description:BackgroundAs 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.ObjectivesTo examine patients' perceptions of whether social needs affect health and attitudes toward healthcare system efforts to screen for and address social needs.Research designMulti-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.SubjectsAdult patients at seven primary care clinics within a large, integrated health system in Southern California.Main measuresSurvey measures of experience with, acceptability of, and attitudes toward clinical social determinants of health screening and navigation.Key resultsA 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.ConclusionsMost 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, patient-centered approaches to addressing social needs.

Project description:Importance:While many organizations endorse screening for social risk factors in clinical settings, few studies have examined the health and utilization effects of interventions to address social needs. Objective:To compare the acute care utilization effects of a written resources handout vs an in-person navigation service intervention to address social needs. Design, Settings, and Participants:In this secondary analysis of a randomized clinical trial, 1809 adult caregivers of pediatric patients seen in primary and urgent care clinics of 2 safety-net hospitals in northern California were recruited between October 13, 2013, and August 27, 2015. Each participating family was randomly assigned to an in-person navigator intervention vs active control to address the family's social needs. Analyses were conducted between February 28, 2018, and September 25, 2019. Interventions:Caregivers either received written information about relevant local resources related to social needs (active control) or met with a patient navigator focused on helping them resolve social needs (navigator intervention). After an initial in-person visit, navigation services included telephone, email, and/or in-person follow-up for up to 3 months. Main Outcome and Measures:Child emergency department visit or hospitalization within 12 months of study enrollment. Results:Among the 1300 caregivers enrolled in the study without missing follow-up data, most spoke English (878 [67.5%]) and were women (1127 [86.7%]), with a mean (SD) age of 33.0 (9.33) years. Most children were aged 0 to 5 years (779 of 1300 [59.9%]), 723 children (55.6%) had Hispanic ethnicity, and 462 children (35.5%) were in excellent health; 840 families (64.6%) were recruited from urgent care. In total, 637 families (49.0%) were randomized to the in-person navigator group and 663 (51.0%) to the active control group. There was no difference in risk of an emergency department visit between the 2 groups. Children enrolled in the in-person navigator group had a decreased risk of hospitalization within 12 months (hazard ratio, 0.59; 05% CI, 0.38-0.94; P?=?.03), making them 69% less likely to be hospitalized. Conclusions and Relevance:In this randomized clinical trial evaluating heath care utilization effects of programs designed to address social needs among families, children enrolled in the navigation group were significantly less likely to be hospitalized after the intervention but equally likely to have an emergency department visit. These findings strengthen our understanding of the effects of addressing social needs in clinical settings as part of a comprehensive strategy to improve health and reduce health care utilization. Trial Registration:ClinicalTrials.gov Identifier: NCT01939704.

Project description:ImportanceThere are few population-based studies addressing trends in neonatal intensive care unit (NICU) admission and NICU patient-days, especially in the subpopulation that, by gestational age (GA) and birth weight (BW), might otherwise be able to stay in the room with their mothers.ObjectiveTo describe population-based trends in NICU admissions, NICU patient-days, readmissions, and mortality in the birth population of a large integrated health care system.Design, setting, and participantsThis cohort study was conducted using data extracted from electronic medical records at Kaiser Permanente Southern California (KPSC) health care system. Participants included all women who gave birth at KPSC hospitals and their newborns from January 1, 2010, through December 31, 2018. Data extraction was limited to data entry fields whose contents were either numbers or fixed categorical choices. Rates of NICU admission, NICU patient-days, readmission rates, and mortality rates were measured in the total population, in newborns with GA 35 weeks or greater and BW 2000 g or more (high GA and BW group), and in the remaining newborns (low GA and BW group). Admissions to the NICU and NICU patient-days were risk adjusted with a machine learning model based on demographic and clinical characteristics before NICU admission. Changes in the trends were assessed with 2-sided correlated seasonal Mann-Kendall test. Data analysis was performed in August 2019.ExposuresAdmission to the NICU and NICU patient-days among the birth cohort.Main outcomes and measuresThe primary outcomes were NICU admission and NICU patient-days in the total neonatal population and GA and BW subgroups. The secondary outcomes were readmission and mortality rates.ResultsOver the study period there were 320 340 births (mean [SD] age of mothers, 30.1 [5.7] years; mean [SD] gestational age, 38.6 [1.97] weeks; mean [SD] birth weight, 3302 [573] g). The risk-adjusted NICU admission rate decreased from a mean of 14.5% (95% CI, 14.2%-14.7%) to 10.9% (95% CI, 10.7%-11.7%) (P for trend = .002); 92% of the change was associated with changes in the care of newborns in the high GA and BW group. The number of risk-adjusted NICU patient-days per birth decreased from a mean of 1.50 patient-days (95% CI, 1.43-1.54 patient-days) to 1.40 patient-days (95% CI, 1.36-1.48 patient-days) (P for trend = .03); 70% of the change was associated with newborns in the high GA and BW group. The unadjusted 30-day readmission rates and mortality rates did not change.Conclusions and relevanceAdmission rates to the NICU and numbers of NICU patient-days decreased over the study period without an increase in readmissions or mortality. The observed decrease was associated with the high GA and BW newborn population. How much of this decrease is attributable to intercurrent health care systemwide quality improvement initiatives would require further investigation. The remaining unexplained variation suggests that further changes are also possible.

Project description:BackgroundThe demands for healthcare resources following a COVID-19 diagnosis are substantial, but not currently quantified.ObjectiveTo describe trends in healthcare utilization within 180 days for patients diagnosed with COVID-19 and identify patient factors associated with increased healthcare use.DesignObservational cohort study.PatientsA total of 64,011 patients with a test-confirmed COVID-19 diagnosis from March to September 2020 in a large integrated healthcare system in Southern California.Main measuresOverall healthcare utilization during the 180 days following COVID-19 diagnosis, as well as encounter types and reasons for visits during the first 30 days. Poisson regression was used to identify patient factors associated with higher utilization. Analyses were performed separately for patients who were and were not hospitalized for COVID-19.Key resultsHealthcare utilization was about twice as high for hospitalized patients compared to non-hospitalized patients in all time periods. The average number of visits was highest in the first 30 days (hospitalized: 12.3 visits/30 person-days; non-hospitalized: 6.6) and gradually decreased over time. In the first 30 days, the majority of healthcare visits were telehealth encounters (hospitalized: 9.0 visits; non-hospitalized: 5.6 visits), and the most prevalent reasons for visits were COVID-related diagnoses, COVID-related symptoms, and respiratory-related conditions. For hospitalized patients, older age (≥65: RR 1.27, 95% CI 1.15-1.41), female gender (RR 1.07, 95% CI 1.05-1.09), and higher BMI (≥40: RR 1.07, 95% CI 1.03-1.10) were associated with higher total utilization. For non-hospitalized patients, older age, female gender, higher BMI, non-white race/ethnicity, former smoking, and greater number of pre-existing comorbidities were all associated with increased utilization.ConclusionsPatients with COVID-19 seek healthcare frequently within 30 days of diagnosis, placing high demands on health systems. Identifying ways to support patients diagnosed with COVID-19 while adequately providing the usual recommended care to our communities will be important as we recover from the pandemic.

Project description:IntroductionGreat improvements in the health of newborns, children, and women in Pakistan are needed. A large body of literature has demonstrated that the majority of maternal, newborn, and child deaths are preventable with essential health strategies including immunization, nutrition interventions, and child health interventions. Despite the importance of these interventions for the health of women and children, access to services continues to be a barrier. Furthermore, demand for services also contributes to low coverage of essential health interventions. Given the emerging threat of COVID-19 coupled with already weak maternal and child health, delivering effective and feasible nutrition and immunization services to communities, and increasing demand and uptake of services is a pressing and important need.Methods and analysisThis quasi-experimental study aims to improve health service delivery and increase uptake. The study included four main intervention strategies including community mobilization, mobile health teams offering MNCH and immunization services, engagement of the private sector, and testing of a comprehensive health, nutrition, growth, and immunization app, Sehat Nishani, for a period of 12 months. The target group of the project were women of reproductive age (15-49 years) and children under-five. The project was implemented in three union councils (UCs) in Pakistan including Kharotabad-1(Quetta District, Balochistan), Bhana Mari (Peshawar District, Khyber Pakhtunkhwa) and Bakhmal Ahmedzai (Lakki Marwat district, Khyber Pakhtunkhwa). Propensity score matching based on size, location, health facilities, and key health indicators of UC was conducted to identify three matched UCs. A household baseline, midline, endline and close-out assessment will be conducted for evaluating coverage of interventions as well as the knowledge, attitude, and practices of the community in the MNCH and COVID-19 context. Descriptive and inferential statistics will be used to test hypotheses. As well, a detailed cost-effectiveness analysis will be conducted to generate costing data for these interventions to effectively inform policymakers and stakeholder on feasibility of the model. Trial registration: NCT05135637.

Project description:BACKGROUND:Substance use by adolescents remains to be at unacceptably high levels, and there is evidence that teens' social norms are becoming more favorable toward recreational use and perceived safety of substances such as marijuana and prescription opioids. Social media offer a low-cost, potentially high-impact approach to disseminate prevention messages. OBJECTIVE:Living the Example (LTE) is a program that trains adolescent youth ambassadors to develop and disseminate prevention messages within their own social media networks and through in-school activities. This study aimed to evaluate the effects of exposure to LTE-based social media on students in the youth ambassadors' networks. METHODS:The George Washington (GW) University designed and implemented a quasi-experimental evaluation of the LTE program in 3 Maryland high schools. Before program launch, a sample of 826 students (wave 1) at the 3 schools, drawn from a census of freshmen enrolled in a class attended by all students at the grade level, completed a survey. A total of 584 students were surveyed at the wave 2 program midpoint and 542 at the wave 3 endpoint. The survey contained questions on drug use-related attitudes, beliefs, intentions, and behaviors, all based on validated measures. We evaluated the effects of LTE on the intended next 30-day drug use, and controlling for LTE self-reported exposure, age, and gender from waves 2 and 3 was appended into a single dataset. We first conducted ordinal logistic regressions for each drug use intention in wave 3 (ie, sell or distribute illegal drugs, smoke cigarettes, drink beer/wine/hard liquor when parents do not know about it, use marijuana, use lysergic acid diethylamide, cocaine, amphetamines or other illegal drugs, use heroin, use synthetic drugs, and use any prescription pills without a prescription) to examine the association between LTE exposure and drug use intentions. We included an interaction term for the study wave to examine intervention effects. RESULTS:We found a significant positive effect of LTE exposure on all 8 measured drug use intentions: sell/distribute illegal drugs; smoke cigarettes; drink beer, wine, or liquor when my parents do not know about it; use marijuana; use cocaine, amphetamines, or other illegal drug; use heroin; use synthetic drugs; use any prescription pills without a prescription (all P<.05; odds ratios ranging from 2.12 to 3.71). We also found that boys were more likely than girls to exhibit reduced drug use intentions. We also found reductions in 30-day intentions between the second and third survey waves for all 8 measured drug use variables. CONCLUSIONS:Overall, the results are consistent with and indicate a stronger LTE effect in this study compared with a previous pilot study. LTE appears to offer a protective effect, with exposure to program messages leading to reduced/improved drug use intentions.

Dataset Information

Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study.

Publications

Impact of Social Needs Navigation on Utilization Among High Utilizers in a Large Integrated Health System: a Quasi-experimental Study.

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