By: Natalie Trebes and Sally Kim
Plans have long known that pregnant members are a vulnerable and expensive subpopulation, worthy of extra care management efforts—but the challenge lies in identifying them.
When high-risk pregnant members are not identified—and not enrolled in care management— they’re more likely to have NICU admissions, which are 4-6 times more expensive than regular deliveries.
What Makes Identification Hard
Even among high-risk members, there are three main reasons why early identification of pregnant members is especially difficult:
One Plan’s Solution
Health Partners Plan (HPP), a Medicaid plan based in Pennsylvania, recognized that they could identify more pregnant members by actively combining data sources and assigning care managers to conduct outreach. HPP’s data analytics team combines data from multiple sources into a single list of pregnant members, which then HPP’s care managers, named Baby Partners, use to conduct outreach and offer care management for high-risk members.
Results of the Baby Partners Program
Another Plan's Application
This year, Advisory Board hosted a cohort of plans that wanted to use lessons from HPP’s program to improve their own pregnancy care management programs. The cohort met via video conference every other month for six months. Health Plan of San Joaquin (HPSJ), a Medicaid plan based in California, took advantage of this cohort to revamp their pregnancy identification and stratification processes.
The plan collected data from various sources such as forms providers filled out, medical claims, and prescription data and used an algorithm to stratify the members by risk. They then focused outreach on the most vulnerable members:
- Members diagnosed as high-risk by a provider
- Members with an admission or ER visit in the last 90 days
- Members on specific prescription medications
- Members in the first and second trimester of pregnancy
- Members with social determinants of health concerns (especially homelessness)
Over the first six months, HPSJ increased their monthly number of identified high-risk pregnancies by 38% and even hired an additional case manager for their prenatal program to support the additional volumes.
Your Next Steps
HPSJ was just one plan that applied HPP’s best practices to identify more pregnant members, but every plan in the cohort modified the tactic to suit their organization. If you’re interested in applying these learnings at your organization, we’ve published all the resources that the plans in the cohort received, including a step-by-step guide, a list of potential data sources, and a metrics rubric. Ready to get started? Watch this 30-minute introductory webinar.
Identify high-risk members
Baby Partners Program: How to save $1.5M by identifying high-risk pregnancies early