Dataset Information

Unmet social needs among low-income adults in the United States: Associations with health care access and quality.

ABSTRACT: OBJECTIVE:To describe social needs among low-income adults and estimate the relationship between level of unmet social needs and key indicators of health care access and quality. DATA SOURCE:National survey data from 12 states from the 2017 Behavioral Risk Factor Surveillance System, which added a "Social Determinants of Health" Module in 2017. STUDY DESIGN:We examined differences in eight measures of health care access and quality (eg, check-up in last 12 months, inability to see doctor due to cost, receipt of eye examination for diabetics) for low-income adults with 0, 1, 2-3, and 4+ unmet social needs based on 7 social needs measures. We used adjusted logistic regression models to estimate the association between level of unmet need and each outcome. PRINCIPAL FINDINGS:Most common unmet social needs included not having enough money for balanced meals (33 percent) or food (32 percent). After adjusting for observable characteristics, higher levels of unmet social need were associated with poorer access and quality. Compared to those with no reported unmet needs, having 4+ unmet needs was significantly associated with reduced probability of having a yearly check-up (65 percent vs 78 percent, adjusted difference = -7.1 percentage points (PP)), receiving a flu vaccine (33 percent vs 42 percent, adjusted difference = -5.4 PP), having a personal doctor (74 percent vs 80 percent, adjusted difference = -3.1 PP), and having a foot (63 percent vs 80 percent, adjusted difference = -12.8 PP) or eye examination (61 percent vs 73 percent, adjusted difference = -12.6 PP) for diabetic patients, and increased probability of being unable to see a doctor due to cost (44 percent vs 9 percent, adjusted difference = 27.9 PP) and having diabetes affect the eyes (22 percent vs 19 percent, adjusted difference = 8.0 PP) at ? = 0.05. CONCLUSIONS:Higher levels of unmet social needs were associated with poorer access to and quality of care among low-income adults. Addressing social needs both inside and outside of health care settings may help mitigate these negative effects. Additional research on if and how to effectively do so is critical.

SUBMITTER: Cole MB

PROVIDER: S-EPMC7518813 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Unmet social needs among low-income adults in the United States: Associations with health care access and quality.

Cole Megan B MB Nguyen Kevin H KH

Health services research 20200903

<h4>Objective</h4>To describe social needs among low-income adults and estimate the relationship between level of unmet social needs and key indicators of health care access and quality.<h4>Data source</h4>National survey data from 12 states from the 2017 Behavioral Risk Factor Surveillance System, which added a "Social Determinants of Health" Module in 2017.<h4>Study design</h4>We examined differences in eight measures of health care access and quality (eg, check-up in last 12 months, inability ...[more]

PMID: 32880945

Similar Datasets

Project description:BackgroundThe association between unmet social needs (e.g., food insecurity) and adverse health outcomes is well-established, especially for patients with and at risk for cardiovascular disease (CVD). This has motivated healthcare systems to focus on unmet social needs. Yet, little is known about the mechanisms by which unmet social needs impact health, which limits healthcare-based intervention design and evaluation. One conceptual framework posits that unmet social needs may impact health by limiting care access, but this remains understudied.ObjectiveExamine the relationship between unmet social needs and care access.DesignCross-sectional study design using survey data on unmet needs merged with administrative data from the Veterans Health Administration (VA) Corporate Data Warehouse (September 2019-March 2021) and multivariable models to predict care access outcomes. Pooled and separate rural and urban logistic regression models were utilized with adjustments from sociodemographics, region, and comorbidity.SubjectsA national stratified random sample of VA-enrolled Veterans with and at risk for CVD who responded to the survey.Main measuresNo-show appointments were defined dichotomously as patients with one or more missed outpatient visits. Medication non-adherence was measured as proportion of days covered and defined dichotomously as adherence less than 80%.Key resultsGreater burden of unmet social needs was associated with significantly higher odds of no-show appointments (OR = 3.27, 95% CI = 2.43, 4.39) and medication non-adherence (OR = 1.59, 95% CI = 1.19, 2.13), with similar associations observed for rural and urban Veterans. Social disconnection and legal needs were especially strong predictors of care access measures.ConclusionsFindings suggest that unmet social needs may adversely impact care access. Findings also point to specific unmet social needs that may be especially impactful and thus might be prioritized for interventions, in particular social disconnection and legal needs.

Project description:BackgroundUncomplicated urinary tract infections (uUTIs/acute cystitis) are among the most common infections in women worldwide. There are differences in uUTI treatment guidelines between countries and understanding the needs of physicians in diverse healthcare systems is important for developing new treatments. We performed a survey of physicians in the United States (US) and Germany to understand their perceptions of, and management approaches to uUTI.MethodsThis was a cross-sectional online survey of physicians in the US and Germany who were actively treating patients with uUTI (≥ 10 patients/month). Physicians were recruited via a specialist panel and the survey was piloted with 2 physicians (1 US, 1 Germany) prior to study commencement. Data were analyzed with descriptive statistics.ResultsA total of 300 physicians were surveyed (n = 200 US, n = 100 Germany). Across countries and specialties, physicians estimated 16-43% of patients did not receive complete relief from initial therapy and 33-37% had recurrent infections. Urine culture and susceptibility testing was more common in the US and among urologists. The most commonly selected first-line therapy was trimethoprim-sulfamethoxazole in the US (76%) and fosfomycin in Germany (61%). Ciprofloxacin was the most selected following multiple treatment failures (51% US, 45% Germany). Overall, 35% of US and 45% of German physicians agreed with the statement "I feel there is a good selection of treatment options" and ≥ 50% felt that current treatments provided good symptom relief. More than 90% of physicians included symptom relief amongst their top 3 treatment goals. The overall impact of symptoms on patients' lives was rated "a great deal" by 51% of US and 38% of German physicians, increasing with each treatment failure. Most physicians (> 80%) agreed that antimicrobial resistance (AMR) is serious, but fewer (56% US, 46% Germany) had a high level of confidence in their knowledge of AMR.ConclusionsTreatment goals for uUTI were similar in the US and Germany, although with nuances to disease management approaches. Physicians recognized that treatment failures have a significant impact on patients' lives and that AMR is a serious problem, though many did not have confidence in their own knowledge of AMR.

Project description:BackgroundLocally advanced or metastatic bladder cancer (BC), which is generally termed advanced BC (aBC), has a very poor prognosis, and in addition to its physical symptoms, it is associated with emotional and social challenges. However, few studies have assessed the unmet needs and burden of aBC from patient and caregiver perspectives. Infodemiology, that is, epidemiology based on internet health-related content, can help obtain more insights on patients' and caregivers' experiences with aBC.ObjectiveThe study aimed to identify the main discussion themes and the unmet needs of patients with aBC and their caregivers through a mixed methods analysis of social media posts.MethodsSocial media posts were collected between January 2015 and April 2021 from US geolocalized sites using specific keywords for aBC. Automatic natural language processing (regular expressions and machine learning) methods were used to filter out irrelevant content and identify verbatim posts from patients and caregivers. The verbatim posts were analyzed to identify main discussion themes using biterm topic modeling. Difficulties or unmet needs were further explored using qualitative research methods by 2 independent annotators until saturation of concepts.ResultsA total of 688 posts from 262 patients and 1214 posts from 679 caregivers discussing aBC were identified. Analysis of 340 randomly selected patient posts and 423 randomly selected caregiver posts uncovered 33 unique unmet need categories among patients and 36 among caregivers. The main unmet patient needs were related to challenges regarding adverse events (AEs; 28/95, 29%) and the psychological impact of aBC (20/95, 21%). Other patient unmet needs identified were prognosis or diagnosis errors (9/95, 9%) and the need for better management of aBC symptoms (9/95, 9%). The main unmet caregiver needs were related to the psychological impacts of aBC (46/177, 26.0%), the need for support groups and to share experiences between peers (28/177, 15.8%), and the fear and management of patient AEs (22/177, 12.4%).ConclusionsThe combination of manual and automatic methods allowed the extraction and analysis of several hundreds of social media posts from patients with aBC and their caregivers. The results highlighted the emotional burden of cancer for both patients and caregivers. Additional studies on patients with aBC and their caregivers are required to quantitatively explore the impact of this disease on quality of life.

Dataset Information

Unmet social needs among low-income adults in the United States: Associations with health care access and quality.

Publications

Unmet social needs among low-income adults in the United States: Associations with health care access and quality.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets