Browsing by Author "Inderstrodt, Jill"

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    A statewide system for maternal-infant linked longitudinal surveillance: Indiana’s model for improving maternal and child health
    (Swansea University, 2024-11-11) Inderstrodt, Jill; Riggins, Daniel P.; Greenwell, Acatia; Price, John P.; Williams, Jennifer L.; Bezy, Eden; Forkner, Allison; Bowman, Elizabeth; Miller, Summer D.; Schleyer, Titus K. L.; Grannis, Shaun J.; Dixon, Brian E.; Health Policy and Management, Richard M. Fairbanks School of Public Health
    Indiana, located in the Midwest region of the United States, faces significant challenges with respect to health, especially maternal and child health (MCH). These challenges include high rates of stillbirth, neonatal abstinence syndrome (NAS) and congenital syphilis (CS). Not only are these often-fatal conditions underreported, but it can also be difficult to track them longitudinally, as mothers and infants are not routinely linked through electronic health records (EHRs). This paper describes the process, structure and planned outcomes of a partnership between Indiana University, Regenstrief Institute and public health partners in support of the U.S. Centers for Disease Control and Prevention’s Pregnant People-Infant Linked Longitudinal Surveillance (PILLARS) program. Together, academic, clinical and public health organisations are collaboratively developing an infrastructure and deploying novel methods to surveil stillbirth, CS and NAS longitudinally. The infrastructure includes: (a) deploying deterministic and probabilistic algorithms to link mothers and their infants using multiple, linked data sources; (b) creating and maintaining a registry of maternal-infant dyads; (c) using the registry to perform longitudinal surveillance in collaboration with Indiana public health authorities on stillbirth, NAS and CS and (d) translating information from surveillance activities into action by collaborating with public health and community-based organisations to improve and implement prevention activities in vulnerable Indiana communities. Our long-term goal is to improve outcomes for these conditions and other priority MCH outcomes by expanding our work to additional MCH use cases.
  • Thumbnail Image
    Item
    Informatics Interventions for Maternal Morbidity: A Scoping Review
    (National Library of Medicine, 2023-06-23) Inderstrodt, Jill; Stumpff, Julia C.; Smollen, Rebecca; Sridhar, Shreya; El-Azab, Sarah A.; Ojo, Opeyemi; Haggstrom, David A.
    Individuals of childbearing age in the U.S. currently enter pregnancy less healthy than previous generations, putting them at risk for maternal morbidities such as preeclampsia, gestational diabetes mellitus (GDM), and postpartum mental health conditions. These conditions leave mothers at risk for long-term health complications that, when left unscreened and unmonitored, can be deadly. One approach to ensuring long-term health for mothers is designing informatics interventions that: (a) prevent maternal morbidities, (b) treat perinatal conditions, and (c) allow for continuity of treatment. This scoping review examines the extent, range, and nature of informatics interventions that have been tested on maternal morbidities that can have long-term health effects on mothers. It uses MEDLINE, EMBASE, and Cochrane Library to chart demographic, population, and intervention data regarding informatics and maternal morbidity. Studies (n=79) were extracted for analysis that satisfied the following conditions: (a) tested a medical or clinical informatics intervention; (b) tested on adults with a uterus or doctors who treat people with a uterus; and (c) tested on the following conditions: preeclampsia, GDM, preterm birth, severe maternal morbidity as defined by the CDC, and perinatal mental health conditions. Of the 79 studies extracted, 38% (n=30) tested technologies for GDM, 38% (n=30) tested technologies for postpartum depression, and 15.2% (n=12) tested technologies for preeclampsia. In terms of technologies, 35.4% (n = 28) tested a smartphone or tablet app, 29.1% (n=23) tested a telehealth intervention, and 15.2% (n=12) tested remote monitoring technologies (blood pressure, blood glucose). Most (86.1%; n=68) of the technologies were tested for patient physical or mental health outcomes. This scoping review reveals that most tested informatics interventions are those aimed at three conditions (GDM, preeclampsia, mental health) and that there may be opportunities to treat other common causes of maternal mortality (i.e. postpartum hemorrhage) using proven technologies such as mobile applications.
  • Thumbnail Image
    Item
    Informatics Interventions for Maternal Morbidity: Scoping Review
    (JMIR Publications, 2025-03-25) Inderstrodt, Jill; Stumpff, Julia C.; Smollen, Rebecca; Sridhar, Shreya; El-Azab, Sarah; Ojo, Opeyemi; Bowns, Brendan; Haggstrom, David A.
    Background: Women have been entering pregnancy less healthy than previous generations, placing them at increased risk for pregnancy complications. One approach to ensuring effective monitoring and treatment of at-risk women is designing technology-based interventions that prevent maternal morbidities and treat perinatal conditions. Objective: This scoping review evaluates what informatics interventions have been designed and tested to prevent and treat maternal morbidity. Methods: MEDLINE, Embase, and Cochrane Library were searched to identify relevant studies. The inclusion criteria were studies that tested a medical or clinical informatics intervention; enrolled adult women; and addressed preeclampsia, gestational diabetes mellitus (GDM), preterm birth, Centers for Disease Control and Prevention-defined severe maternal morbidity, or perinatal mental health conditions. Demographic, population, and intervention data were extracted to characterize the technologies, conditions, and populations addressed. Results: A total of 80 studies were identified that met the inclusion criteria. Many of the studies tested for multiple conditions. Of these, 73% (60/82) of the technologies were tested for either GDM or perinatal mental health conditions, and 15% (12/82) were tested for preeclampsia. For technologies, 32% (28/87) of the technologies tested were smartphone or tablet applications, 26% (23/87) were telehealth interventions, and 14% (12/87) were remote monitoring technologies. Of the many outcomes measured by the studies, almost half (69/140, 49%) were patient physical or mental health outcomes. Conclusions: Per this scoping review, most informatics interventions address three conditions: GDM, preeclampsia, and mental health. There may be opportunities to treat other potentially lethal conditions like postpartum hemorrhage using proven technologies such as mobile apps. Ample gaps in the literature exist concerning the use of informatics technologies aimed at maternal morbidity. There may be opportunities to use informatics for lesser-targeted conditions and populations.