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Niznik, Charlotte M.

https://orcid.org/0000-0002-4044-5763

Mayo Clinic

Northwestern University

Citations 2

Diagnostic accuracy of the Hunger Vital Sign screener for food insecurity in an obstetric population
Merchant, Tazim , McLean, Samantha, Ludke, Meghan, Mathur, G. P., Raucher, Sydney L , Niznik, Charlotte M. , Feinglass, Joe , Yee, Lynn M., Feinglass, Joe , Yee, Lynn M , McLean, Samantha K., Cheung, Ying, Mathur, Priyanka, Yee, Lynn M.

Pregnancy | January 25, 2026 | Volume: 2 | Issue: 1 | Pages: No page available

10.1002/pmf2.70238 Get It

Abstract Introduction The Hunger Vital Sign (HVS) is a two‐item, validated food insecurity screener recommended by the American Academy of Pediatrics. Given its brevity, HVS could be useful in assessing food insecurity in pregnant populations, for whom high‐quality nutrition and food access is essential. However, the HVS has not been evaluated in obstetric settings. Thus, we aimed to evaluate the performance of the HVS compared to the gold standard, the 18‐item US Household Food Security Survey Module (HFSSM) among low‐income, urban pregnant people. Methods We conducted a prospective study at a multi‐hospital tertiary health system (September 2023 to April 2024) in the United States. English‐ or Spanish‐speaking individuals from zip codes in which ≥10% of households were under the federal poverty line or who had publicly funded antenatal care completed a 20‐min self‐administered survey, which included the HFSSM and HVS. Food insecurity was defined as marginal, low, or very low food insecurity on the HFSSM; the prevalence of food insecurity was assessed and evaluated by participant characteristics. A positive screen on the HVS was defined as a “often true” or “sometimes true” to either item. Descriptive statistics were performed to characterize the performance of the HVS compared to the HFSSM. Results Of 713 potentially eligible participants based on medical record review, 192 (27%) completed an eligibility screener and were found to be eligible. Of these, 171 (89%) completed the survey. Nearly half (41%) of participants ( n = 70; of whom 74% received publicly funded care) screened positive for food insecurity on the HFSSM. HVS sensitivity was 83%, while specificity was 96%. The positive predictive value of the HVS was 94% and negative predictive value was 89%. Conclusion The two‐item HVS had relatively high accuracy for detecting food insecurity in this low‐income, urban obstetric population. Incorporating this brief screener into prenatal care may enable efficient, clinically useful food insecurity detection and intervention to address this need.
The Role of Social Support on Self‐Management of Gestational Diabetes Mellitus: A Qualitative Analysis
Merchant, Tazim , Gomez‐Roas, Maria, Williams, Brittney R., Niznik, Charlotte M. , Feinglass, Joe , Grobman, William A., Yee, Lynn M. , DiTosto, Julia D.

Journal of Midwifery & Women's Health | June 27, 2025 | Volume: 70 | Issue: 5 | Pages: 791-799

10.1111/jmwh.13782 Get It

Introduction Given the rising incidence and importance of treatment adherence for gestational diabetes (GDM), this study aimed to examine patient perspectives on social support's role in gestational diabetes (GDM) management during pregnancy and early postpartum. Methods This is an analysis of qualitative data collected during a feasibility randomized controlled trial of postpartum patient navigation for individuals with GDM. Participants completed semistructured interviews at 4 to 12 weeks postpartum on their experiences with GDM as well as facilitators and barriers to its management, including social support. Data were analyzed using the constant comparative method. Results Of 38 participants, 55% reported a family member or friend with a history of GDM, type 1, or type 2 diabetes mellitus. The analysis identified 4 themes: (1) communal support, (2) indirect GDM support (ie, removing logistical barriers to care), (3) direct GDM support, and (4) barriers of social support (eg, stigma), which impeded disease understanding. Participants identified communal support as a catalyst for lifestyle change and a source for advice and emotional support. Indirect support included transportation, childcare, and work accommodations. Direct support included providing healthy food, giving insulin shots, or providing accountability. Discussion Harnessing social support may be a key strategy to activate and sustain lifestyle and self‐management skills in GDM and should be considered in intervention development.