Service Delivery

Risk factors associated with children lost to care in a state early childhood intervention program.

Giannoni et al. (2010) · Research in developmental disabilities 2010
★ The Verdict

Lack of transportation and Medi-Cal gaps are the strongest levers you can pull to keep families in early-intervention services.

✓ Read this if BCBAs who coordinate early-intervention intake or parent training.
✗ Skip if Clinicians who only see school-age clients with stable transport.

01Research in Context

01

What this study did

Researchers looked at why families drop out of California’s Early Start program. They used state records to spot patterns in who leaves early. The team checked birth records, insurance status, and family details like mom’s age and education.

02

What they found

Two things stood out: no ride to the clinic and losing Medi-Cal. These beat every other reason for quitting. Young moms and parents who didn’t finish high school also left more often. Premature babies were at extra risk, but the fixable barriers were transport and insurance gaps.

03

How this fits with other research

Capio et al. (2013) ran parent-training groups and saw the same story: once a family piles up three or more risks, they walk. Lancioni et al. (2006) said younger moms drop out of PCIT faster—same red flag here. Twardzik et al. (2018) looked at kids who age out instead of dropping out; those kids later need special-ed at twice the rate, showing any service gap hurts. Knight et al. (2019) added distance: every extra mile to an ASD clinic lowers show-up rates, backing the transport finding.

04

Why it matters

You can’t change a mom’s age, but you can fix rides and insurance. Call the family before the first visit. Ask, “Do you have a way to get here?” If they ride the bus, hand them a transit pass. If Medi-Cal lapsed, walk them through renewal on the spot. These two moves cut dropout more than any fancy intervention.

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Add two checkboxes to your intake form: ‘Transportation barrier?’ and ‘Insurance active?’ If either is ‘no,’ solve it before scheduling the next appointment.

02At a glance

Intervention
not applicable
Design
quasi experimental
Sample size
8987
Population
not specified
Finding
not reported

03Original abstract

A retrospective cohort study was conducted to identify risk factors associated with children lost to care, and their families, compared to those not lost to care within the California Early Start Program. The cohort included data on 8987 children enrolled in the Early Start Program in 1998. This cohort consisted of 2443 children lost to care, 6363 children not lost to care, and 187 children that were lost to follow-up due to death or moving outside the state of California. Premature birth was the only medical risk factor in this study related to an increased risk of loss. Family risk factors exert a significant effect on loss to care. Risk factors that are predictive of loss to care include mother's age and educational level, Medi-Cal ineligibility, and lack of transportation. By identifying and examining risk factors for loss to care, interventions may be strengthened to promote continued family participation in early intervention services.

Research in developmental disabilities, 2010 · doi:10.1016/j.ridd.2010.02.013