Non-response Bias in Social Risk Factor Screening Among Adult Emergency Department Patients.
Healthcare organizations increasingly use screening questionnaires to assess patients' social factors, but non-response may contribute to selection bias. This study assessed differences between respondents and those refusing participation in a social factor screening. We used a cross-sectional appro...
| Publicado en: | Journal of Medical Systems Vol. 47; no. 1; pp. 1 - 8 |
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| Autores principales: | , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
7/22/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=170716519&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 170716519 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: 7/22/2023 vid: 47 iid: 1 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 170716519 170716519 170716519 10.1007/s10916-023-01975-8 170716519 ppf: 1 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Non-response Bias in Social Risk Factor Screening Among Adult Emergency Department Patients. aug: au: Vest, Joshua R Mazurenko, Olena affil: Department of Health Policy & Management, Indiana University Richard M. Fairbanks School of Public Health – Indianapolis, 1050 Wishard Blvd, 46202, Indianapolis, IN, USA sug: subj: Nonresponse Bias Social Factors Health Screening In Adulthood Risk Assessment Emergency Service Documentation Methods Human Male Female Adolescence Adult Middle Age Aged Aged, 80 and Over Cross Sectional Studies Logistic Regression Language Natural Language Processing Financial Stress Psychosocial Factors Questionnaires Comparative Studies Descriptive Statistics Confidence Intervals Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Healthcare organizations increasingly use screening questionnaires to assess patients' social factors, but non-response may contribute to selection bias. This study assessed differences between respondents and those refusing participation in a social factor screening. We used a cross-sectional approach with logistic regression models to measure the association between subject characteristics and social factor screening questionnaire participation. The study subjects were patients from a mid-western state safety-net hospital's emergency department. Subjects' inclusion criteria were: (1) ≥ 18 years old, (2) spoke English or Spanish, and (3) able to complete a self-administered questionnaire. We classified subjects that consented and answered the screening questionnaire in full as respondents. All others were non-respondents. Using natural language processing, we linked all subjects' participation status to demographic characteristics, clinical data, an area-level deprivation measure, and social risk factors extracted from clinical notes. We found that nearly 6 out of every 10 subjects approached (59.9%), consented, and completed the questionnaire. Subjects with prior documentation of financial insecurity were 22% less likely to respond to the screening questionnaire (marginal effect = -22.40; 95% confidence interval (CI) = -41.16, -3.63; p = 0.019). No other factors were significantly associated with response. This study uniquely contributes to the growing social determinants of health literature by confirming that selection bias may exist within social factor screening practices and research studies. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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