scholarly journals Using ICD-10-based Social Determinants of Health Categories to Assess Patients Risk for Acute Care Utilization

Author(s):  
Peter H. Nguyen ◽  
James Wang ◽  
Pamela Garcia-Filion ◽  
Deborah Dominick ◽  
Hamed Abbaszadegan ◽  
...  

ABSTRACTObjectiveSocial determinants of health (SDoH) play a pivotal role in health care utilization and adverse health outcomes. However, the optimal method to identify SDoH remains debatable. We ascertained SDoH based on International Classification of Disease 10 (ICD-10) codes in patient electronic health records (EHR) to assess the correlation with acute care utilization, and determine if social services interventions reduced care utilization.MethodsWe analyzed retrospective data for active patients at a Department of Veterans Affairs Medical Center (VAMC) from 2015-2017. Eleven categories of SDoH were developed based on existing literature of the social determinants; the relevant ICD-10 codes were divided among these categories. Emergency Room (ER) visits, hospital admissions, and social work visits were determined for each patient in the cohort.ResultsIn a cohort of 44,401 patients, the presence of ICD-10 codes within the EHR in the 11 SDoH categories was positively correlated with increased acute care utilization. Veterans with at least one SDoH risk factor were 71% (95%CI: 68% - 75%) more likely to use the ED and 71% (95%CI: 65%-77%) more likely to be admitted to the hospital. Utilization decreased with social service interventions.ConclusionThis project demonstrates a potentially meaningful method to capture patient social risk profiles through existing EHR data in the form of ICD-10 codes, which can be used to identify the highest risk patients for intervention with the understanding that not all SDoH codes are uniformly used and some SDoHs may not be captured.

2021 ◽  
Vol 15 ◽  
pp. 175346662110374
Author(s):  
Dana Albon ◽  
Heather Bruschwein ◽  
Morgan Soper ◽  
Rhonda List ◽  
Deirdre Jennings ◽  
...  

Introduction: Outcomes in cystic fibrosis are influenced by multiple factors, including social determinants of health. Low socioeconomic status has been shown to be associated with lung function decline, increased exacerbation rates, increased health care utilization, and decreased survival in cystic fibrosis. The COVID-19 pandemic disrupted the US economy, placing people with cystic fibrosis at risk for negative impacts due to changes in social determinants of health. Methods: To characterize the impact of COVID-19-related changes in social determinants of health in the adult cystic fibrosis population, a social determinants of health questionnaire was designed and distributed to patients as part of a quality improvement project. Results: Of 132 patients contacted, 76 (57.6%) responses were received. Of these responses, 22 (28.9%) answered yes to at least one question that indicated an undesired change in social determinants of health. Patients with stable employment prior to COVID-19 were more likely to endorse undesired change in all domains of the questionnaire, and the undesired changes were most likely to be related to employment, insurance security, and access to medications. Patients receiving disability were more likely to report hardship related to utilities and food security compared with patients previously employed or unemployed. Of patients endorsing risk of socioeconomic hardship, 21 (95.5%) were contacted by a social worker and provided resources. Conclusion: Utilizing a social determinants of health questionnaire to screen for social instability in the context of COVID-19 is feasible and beneficial for patients with cystic fibrosis. Identifying social issues early during the pandemic and implementing processes to provide resources may help patients with cystic fibrosis mitigate social hardship and maintain access to health care and medications.


2020 ◽  
Vol 42 (1) ◽  
Author(s):  
Matthew W. Kreuter ◽  
Tess Thompson ◽  
Amy McQueen ◽  
Rachel Garg

There has been an explosion of interest in addressing social needs in health care settings. Some efforts, such as screening patients for social needs and connecting them to needed social services, are already in widespread practice. These and other major investments from the health care sector hint at the potential for new multisector collaborations to address social determinants of health and individual social needs. This article discusses the rapidly growing body of research describing the links between social needs and health and the impact of social needs interventions on health improvement, utilization, and costs. We also identify gaps in the knowledge base and implementation challenges to be overcome. We conclude that complementary partnerships among the health care, public health, and social services sectors can build on current momentum to strengthen social safety net policies, modernize social services, and reshape resource allocation to address social determinants of health. Expected final online publication date for the Annual Review of Public Health, Volume 42 is April 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.


2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S964-S964
Author(s):  
Sih-Ting Cai ◽  
Howard Degenholtz ◽  
Hayley Germack

Abstract The study examined correlates and consequences of social determinants of health risk factors (SDoH) among dual eligible aged and disabled individuals; Pennsylvania is transitioning this population into a managed care plan with responsibility for care coordination and incentives to prevent hospitalization and nursing home placement. Medicaid and Medicare claims were used to identify people with SDoH based on ICD-10 codes in 2016 in four domains: economic insecurity, life stressors, physical dependence, and potential health hazards. Of 281,918 people, 38.6% had one or more SDoH. Among people with severe mental illnesses (SMI; schizophrenia, psychosis, major depressive disorder, or bipolar disorder), the prevalence of SDoH was 57.9%. Of people with one or more SDoH, 42% visited the ED, compared to only 32% of people with no SDoH. Economic insecurity (OR 1.68; CI 1.59-1.78), life stressors (OR 1.39; CI 1.29-1.48), physical dependence, (OR 2.01; CI 1.97-2.06), and potential health hazards (OR 1.52; CI 1.47-1.56) were independently associated with risk of hospitalization, controlling for age, gender, race, SMI, chronic conditions and disability. The introduction of diagnosis codes for SDoH under ICD-10 has facilitated identifying individuals with deficits that might increase health care use above and beyond their underlying health status. Although the prevalence of these risk factors as captured in diagnosis data is likely an underestimate, the strong association with subsequent ED use and hospitalization lends credence to these indicators. Medicare and Medicaid claims data can be used to identify people with SDoH and target interventions to prevent downstream health services use.


2020 ◽  
Vol 110 (S2) ◽  
pp. S219-S221
Author(s):  
Dodi Meyer ◽  
Eva Lerner ◽  
Alex Phillips ◽  
Katarina Zumwalt

Universal screenings for social determinants of health (SDOH) are feasible at the health system level and enable institutions to identify unmet social needs that would otherwise go undiscovered. NewYork-Presbyterian Hospital implemented SDOH screenings together with clinical screenings in four outpatient primary care sites. Aligning SDOH screening with clinical screening was crucial for establishing provider buy-in and ensuring sustainability of screening for SDOH. Despite some challenges, universal screening for SDOH has allowed NewYork-Presbyterian Hospital to identify unmet needs to improve population health.


Medical Care ◽  
2020 ◽  
Vol 58 (12) ◽  
pp. 1037-1043
Author(s):  
Hannah P. Truong ◽  
Alina A. Luke ◽  
Gmerice Hammond ◽  
Rishi K. Wadhera ◽  
Mat Reidhead ◽  
...  

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 773-773
Author(s):  
Kathryn L. Koch ◽  
Cynthia L. Leonard ◽  
Katherine Bagemihl ◽  
David Marks ◽  
Thomas C. Abshire ◽  
...  

Abstract Background Adults with sickle cell disease (SCD) have a high rate of acute care utilization that results in increased health care costs. Chronic pain and end-organ dysfunction are prevalent in adults with SCD contributing to the high rate of utilization. Since many of these chronically ill patients do not have access to specialized care, delivery of care is often relegated to the emergency department (ED) and/or hospital. At Froedtert Hospital/Medical College of Wisconsin (FH/MCW) in Milwaukee, Wisconsin, 285 adults with SCD have received care as inpatients, outpatients or in the ED since 2010. Historically there was no dedicated adult SCD clinic. High rates of acute care utilization among adults with SCD at FH/MCW prompted development of an adult SCD clinic that opened on September 1, 2011. This unique clinic model relies on dedicated SCD providers who intensively manage the patients and coordinate care at all access points to the healthcare system (e.g., ED, surgical and obstetric services). The SCD team provides inpatient and outpatient SCD management, social services and has access to additional specialty care. Predominate in this model is a day hospital open Monday through Friday that provides pain management, fluids and urgent care along with widespread use of hydroxyurea and transfusion regimens. The SCD team focuses particular attention on patients with high rates of acute care utilization and manages this subgroup with frequent provider visits (multiple times per week to monthly) and specialized, multi-disciplinary care plans. In this study, we tested the hypothesis that this intensive model of care for adults with SCD will reduce important metrics of healthcare delivery. Objective To compare the rate of hospital admission, readmission and cost avoidance before and after an adult SCD clinic model was implemented at FH/MCW. Methods This was a retrospective study of adults with SCD, 18 years and older, who were admitted to FH/MCW in Milwaukee, Wisconsin, during the study comparison periods from 2010-2012. We compared the rate of hospital admission, 30-day readmission and patient costs from January 1, 2010-December 31, 2010 (pre-SCD clinic) to September 1, 2011-August 31, 2012 (first year after SCD clinic opened). Hospital admissions and readmissions during the study window were identified from a systematic search of the electronic medical record. Cost avoidance was determined from diagnosis related group (DRG)-weighed calculations for patients with SCD admitted to FH/MCW and translated into mean cost per patient admission. Total cost was calculated as a product of the total number of hospitalizations and the mean cost per admission for a patient with SCD. Results Two hundred eighty-five adult SCD patients received care in the FH/MCW healthcare system between 2010 and 2012. During the pre- and post-clinic study periods, 81 of these adults, median age of 25 years, were admitted to the hospital at FH/MCW. In the year prior to the implementation of the SCD clinic model, the mean number of hospital admissions was 38 per month. Of these admissions, 61% were readmitted within 30 days. Following the opening of the adult SCD clinic, 208 unique adults established care in the first year. Implementation of the intense model resulted in 2,797 outpatient visits, or a mean of 13 visits per patient over the year. There were also 312 infusion visits for intravenous fluids and/or pain management. During the first year of the SCD clinic, the number of hospital admissions decreased from a mean of 38 to 24 per month, equaling a 38% decrease in admissions. Similarly, the 30 day readmission rate fell from 61 to 28%. Cost avoidance from a reduced number of hospital admissions was 789,000 dollars when the pre-clinic and post-clinic years were compared. Conclusions This intensive model of care for adults with SCD in the FH/MCW healthcare system rapidly reduced the number of hospital admissions and readmissions in the first year of implementation. The model depends on a team of SCD providers who manage care through frequent outpatient visits, coordination with other services and use of a dedicated day hospital for urgent visits and infusions. Intensive management is the cornerstone of this model, requiring frequent provider/patient contact and flexibility by clinic staff to meet the needs of this chronically ill patient population. Disclosures: Field: NKT Therapeutics: Consultancy.


2021 ◽  
Author(s):  
Joseph W. Hogan ◽  
Noya Galai ◽  
Wendy W. Davis

AbstractThere is growing evidence for the key role of social determinants of health (SDOH) in understanding morbidity and mortality outcomes globally. Factors such as stigma, racism, poverty or access to health and social services represent complex constructs that affect population health via intricate relationships to individual characteristics, behaviors and disease prevention and treatment outcomes. Modeling the role of SDOH is both critically important and inherently complex. Here we describe different modeling approaches and their use in assessing the impact of SDOH on HIV/AIDS. The discussion is thematically divided into mechanistic models and statistical models, while recognizing the overlap between them. To illustrate mechanistic approaches, we use examples of compartmental models and agent-based models; to illustrate statistical approaches, we use regression and statistical causal models. We describe model structure, data sources required, and the scope of possible inferences, highlighting similarities and differences in formulation, implementation, and interpretation of different modeling approaches. We also indicate further needed research on representing and quantifying the effect of SDOH in the context of models for HIV and other health outcomes in recognition of the critical role of SDOH in achieving the goal of ending the HIV epidemic and improving overall population health.


2021 ◽  
Author(s):  
Sumit Mukherjee ◽  
Meghana Kshirsagar ◽  
Nicholas Becker ◽  
Yixi Xu ◽  
William B Weeks ◽  
...  

Abstract Background: Despite an abundance of information on the risk factors of SARS-CoV-2, large scale studies of long-term effects are lacking. In this paper we analyzed a large medical claims database of US based individuals to identify common long-term effects as well as their associations with various social and medical risk factors.Methods: The medical claims database was obtained from a prominent US based claims data processing company, namely Change Healthcare. In addition to the claims data, the dataset also consisted of various social determinants of health such as race, income, education level and veteran status of the individuals. A self-controlled cohort design (SCCD) observational study was performed to identify ICD-10 codes whose proportion was significantly increased in the outcome period compared to the control period to identify significant long-term effects. A logistic regression-based association analysis was then performed between identified long-term effects and social determinants of health.Results: Among the over 1.37 million COVID patients in our datasets we found 36 out of 1,724 3-digit ICD-10 codes to be statistically significantly increased in the post-COVID period (p-value <0.05). We also found one combination of ICD-10 codes, corresponding to ‘other anemias’ and ‘hypertension’, that was statistically significantly increased in the post-COVID period (p-value <0.05). Our logistic regression-based association analysis with social determinants of health variables, after adjusting for comorbidities and prior conditions, showed that age and gender were significantly associated with the multiple long-term effects. Race was only associated with ‘other sepsis’, income was only associated with ‘Alopecia areata’, while education level was only associated with ‘Maternal infectious and parasitic diseases’ (p-value <0.05). Conclusion: We identified several long-term effects of SARS-CoV-2 through a self-controlled study on a cohort of over one million patients. Furthermore, we found that while age and gender are commonly associated with the long-term effects, other social determinants of health such as race, income and education levels have rare or no significant associations.


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