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Personal health and wellness technologies can improve people’s care at home, connect everyday activities to clinical settings, and allow more efficient use of clinical resources. Recently, the Human-Computer Interaction community has begun to develop tools to improve oral care. In this research, we investigate dental practices and information needs through surveys and interviews with a range of patients and oral health providers. We find that personal users want to track their progress—or lack thereof—between dental visits for feedback, so they can adjust their home care routines, or so they can seek an escalation in care if they identify a problem. Among providers and clinical health workers, there exists an opportunity for better screening and diagnostic tools to identify dental caries at early stages. Providers in rural areas desire better tools to communicate problem areas to patients and their caregivers to bridge oral health care disparities in areas with limited access to care. Our results can guide the development of dental technologies that can address currently unmet needs of patients and providers.
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A Rising Tide That Lifts All Boats? Effects of Competition on Child Care Quality and Medium-Term Student Outcomes
Using administrative data of center-based child care providers in North Carolina from 2005 to 2018, we provide the first direct evidence on the effects of competition on provider quality and student outcomes in the context of early care and education, taking advantage of quality measures from the state’s Quality Rating and Improvement System (QRIS). We found that competition was associated with higher quality ratings and a higher probability to achieve a five-star rating—the highest tier in the QRIS. More competition increased providers’ probability to improve their rating and reduced the time to improve. Compared to public schools, private providers were responsive to competition. However, we did not find any effects of competition on district-level student third-grade academic performance.
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- Award ID(s):
- 1749275
- PAR ID:
- 10509927
- Publisher / Repository:
- DOI PREFIX: 10.3102
- Date Published:
- Journal Name:
- Educational Evaluation and Policy Analysis
- ISSN:
- 0162-3737
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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