The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Use of social determinants of health codes in home-based primary care
Abstract
Background: The Affordable Care Act created funding for nurse practitioner education programs to transform the primary health care workforce through student awareness of how social, political, economic, and environmental factors influence individual and population health. Funding established Academic Clinical Partnerships (ACPs) that created value-based health care models, which improved patient outcomes and decreased hospital and emergency department admissions and health care costs. The ACP established a home-based primary health care (HBPC) program to deliver primary care and collect patient data. Purpose: The purposes were to describe the incidence of chronic conditions for HBPC patients and determine associations between chronic conditions and presence of social determinants of health (SDoH). Methodology: Nurse practitioner students were assigned to HBPC clinical placements. A convenience sample of 102 high-risk, homebound patients was identified. Nurse practitioners and students recorded deidentified patient data, including ICD-10 -CM codes into a Health Insurance Portability and Accountability Act compliant platform. Secondary analysis of patient records assessed for SDoH through Z codes. Results: Patients had high incidences of hypertension, diabetes, pulmonary disease, heart disease, chronic pain, mood, and substance abuse disorders. Secondary analysis revealed that 92% of patients had indications for the use of Z codes, but these were not recorded. Conclusions: Common Z codes were personal risk factors, housing/economic circumstances, care provider dependency, lifestyle, and family support. Implications for practice: By coding for SDoH, providers and agencies can realize higher reimbursement rates in HBPC settings. Nurse practitioners can use this information to provide better treatment recommendations, more accurate diagnoses, and referrals to enhance primary care services to a patient population negatively affected by SDoH.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Similarly, a study involving convenience samples of patients from federal health centers found that 92% of patients with SDOH-related issues were not initially coded with Z codes by nurse practitioners and patient providers17.”
From Documentation of individual-level social determinants of health among adults diagnosed with cancer in the United States (2025) · cites this paper as [17]
Citations
Cites
An innovative approach to health care delivery for patients with chronic conditions
Clarke, J. L., Bourn, S., Skoufalos, A., Beck, E. H., & Castillo, D. J. (2017) · Population Health Management · doi:10.1089/pop.2016.0076 · Cited by 211
Flagged first, then by citations
Research works printed but not linked: 18
- Arons, 2019, Documenting social determinants of health-related clinical activities using standardized medical vocabularies, Journal of the American Medical Informatics Association: JAMIA, 2, 81
- Bhatt, 2018, Ensuring access to quality health care in vulneable communities, Academic Medicine, 93, 1271, 10.1097/ACM.0000000000002254 · DOI
- Clevenger, 2018, Creating new models of care through academic-clinical partnerships, Nursing Administration Quarterly, 42, 305, 10.1097/NAQ.0000000000000320 · DOI
- Cockerham, 2017, The social determinants of chronic disease, American Journal of Preventive Medicine, 52, S5, 10.1016/j.amepre.2016.09.010 · DOI · Paper page
- Davis, 2017, Prevalence of single and multiple leading causes of death by race/ethnicity among people aged 60 to 70 years, Preventing Chronic Disease, 14, 160241, 10.5888/pcd14.160241 · DOI
- Fink-Samnick, 2018, Managing the social determinants of health: Part II. Leveraging assessment toward comprehensive case management, Professional Case Management, 23, 240, 10.1097/NCM.0000000000000308 · DOI
- Golden, 2015, Upending the social ecological model to guide health promotion efforts toward policy and environmental change, Health, Education and Behavior, 42, 8S, 10.1177/1090198115575098 · DOI
- Heron, 2018, Deaths: Leading causes for 2016, National Vital Statistics Reports, 67, 1
- Lewis, 2016, Community health center provider ability to identify, treat and account for social determinants of health: A card study, BMC Family Practice, 17, 121, 10.1186/s12875-016-0526-8 · DOI
- Melis, 2014, Incidence and predictors of multimorbidity in the elderly: A population‐based longitudinal study, PLoS One, 9, e103120, 10.1371/journal.pone.0103120 · DOI
- Northwood, 2018, Integrative review of the social determinants of health in older adults with multimorbidity, Journal of Advanced Nursing, 74, 45, 10.1111/jan.13408 · DOI
- Ornstein, 2015, The epidemiology of the homebound in the United States, JAMA Internal Medicine, 175, 1180, 10.1001/jamainternmed.2015.1849 · DOI
- Vasilopoulos, 2014, Comorbidity and chronic conditions in the national social life, health and aging project (NSHAP), wave 2, Journals of Gerontology, Series B: Psychological Sciences and Social Sciences, 69, 154, 10.1093/geronb/gbu025 · DOI
- Wold, 2018, Health promotion research over three decades: The social-ecological model and challenges in implementation of interventions, ScandinavianJournal of Public Health, 46, 20
- Wright, 2018, Leveraging graduate academic-practice partnerships to transform health system outcomes, Nursing Administration Quarterly, 42, 324, 10.1097/NAQ.0000000000000311 · DOI
- Coppa, 2020, Content evaluation of social determinants of health and cultural fluency to measure nurse practitioner application in clinical siuations, International Journal of Health Promotion and Education, 58, 124, 10.1080/14635240.2020.1719863 · DOI
- Coppa, 2018, Home-based nurse practitioners demonstrate reduction in rehospitalizations and emergency department visits in a clinically complex patient population through an academic-clinical partnership, Journal of the American Association of Nurse Practitioners, 30, 335, 10.1097/JXX.0000000000000060 · DOI
- Yao, 2017, Increasing role of nurse practitioners in house call programs, Journal of the American Geriatrics Society, 65, 847, 10.1111/jgs.14698 · DOI
Cited by
Sorted by citations
Hsu, C.-Y., Henderson, G., Slejko, J. F., Hussain, A., Swain, R. S., Kalesan, B., Huang, P.-L., & Onukwugha, E. (2025) · Scientific Reports · doi:10.1038/s41598-025-13825-3 · Cited by 5
Metadata
- Authors
- Coppa, D., Winchester, S. B., McAlvin, E., Roberts, M. B., & Maestri, X.
- Affiliations
- University of Rhode Island (US)
- Corresponding author
- Coppa, Denise
- Venue
- Journal of the American Association of Nurse Practitioners
- Published
- 2021-04-01
- Volume
- 34
- Issue
- 1
- Pages
- 42-49
- ISSN
- 2327-6886 (ISSN-L)
- 2327-6924
- OpenAlex
- W3137012820
- Cited by
- 10
- References
- 1
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 2 · 2023: 3 · 2022: 2
- FWCI
- 1.52
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of the American Association of Nurse Practitioners (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Health Sciences › Medicine › Family Practice › Primary Care and Health Outcomes
- Keywords
- social determinants of health, home-based primary care, Z codes, ICD-10-CM coding, chronic disease, nurse practitioner education, academic-clinical partnership, Affordable Care Act, homebound patients, reimbursement, hypertension, diabetes mellitus, substance use disorders, chronic pain
- MeSH terms
- Aged, Home Care Services, Humans, Primary Health Care, United States, Homebound Persons, Patient Protection and Affordable Care Act, Social Determinants of Health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review