| Literature DB >> 32527238 |
Mary K Wolfe1, Noreen C McDonald2.
Abstract
BACKGROUND: Transportation barriers prevent millions of people from accessing health care each year. Health policy innovations such as shared savings payment models (commonly used in accountable care organizations) present financial incentives for providers to offer patient transportation to medical care. Meanwhile, ridesourcing companies like Uber and Lyft have entered the market to capture a significant share of spending on non-emergency health care transportation. Our research examines the current landscape of innovative health care mobility services in the US.Entities:
Keywords: Access to health care; Health care transportation; NEMT; Non-emergency medical transportation; Ridehailing; Ridesourcing; Shared mobility; TNCs
Year: 2020 PMID: 32527238 PMCID: PMC7291516 DOI: 10.1186/s12889-020-08803-5
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Typology of Innovative Health Care Mobility Services
| Health care provider leverages TNC technology | Insurer partners with TNC | Paratransit provider partners with TNC | |
|---|---|---|---|
| Clinician (on patient’s behalf); patient | Patient or clinician | Usually the rider/patient | |
| Health care provider; broker; patient | Insurance company; health plan | Transit agency; patient pays ‘fare’ with substantial subsidy from transit agency | |
| Varies; in many cases, yes, given patient eligibility | n/a | Yes, given patient eligibility | |
• Shorter wait times & less uncertainty • Reminders through smartphone or analog phone | • Financial support • Addresses social determinant of health | • Flexible booking circumvents need for advance booking • Increased trip reliability • Patients who otherwise can’t afford TNC service have access | |
• Real-time tracking patients’ trips as well as own spending • Flexible booking | • Greater patient engagement • Reduced costs in long-term | • Reduced appointment no-shows |
Source: authors’ own analysis of findings of nationwide scan