Carolyn Watts
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Carolyn Watts has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- David Grembowski
Department of Health Services, University of Washington, Seattle, USA
3 shared publications - Grace Wang
Institute for Public Health Genetics, School of Public Health, University of Washington, Seattle, WA, USA
3 shared publications Grace Wang
Institute for Public Health Genetic, University of Washington, Seattle, Washington 98195, USA
2 shared publicationsAndrea Corage Baden
Department of Health Services, University of Washington, Seattle, WA
1 shared publicationWilliam E. Lafferty
Department of Health Services, University of Washington, Seattle, WA
1 shared publication
Latest Publications
- 29 June 2009
- Published by Elsevier in Journal of Adolescent Health
- Vol. 45 (6) , 556-563
Health Insurance Regain after a Spell of Uninsurance: A Longitudinal Comparison of Youth with and without Disabilities Transitioning into Adulthood
- 29 June 2009
- Published by Elsevier in Journal of Adolescent Health
- Vol. 45 (6) , 556-563
Health Insurance Regain after a Spell of Uninsurance: A Longitudinal Comparison of Youth with and without Disabilities Transitioning into Adulthood
- Open Access
- 11 June 2009
- Published by Springer Nature in Maternal and Child Health Journal
- Vol. 14 (1) , 67-74
Risk of Losing Insurance During the Transition into Adulthood Among Insured Youth with Disabilities
To compare insured youth (age 15–25 years) with and without disabilities on risk of insurance loss. We conducted a cross-sectional study using data from the Survey of Income and Program Participation 2001. Descriptive statistics characterized insured youth who maintained and lost insurance for at least 3 months over a 3-year time frame. We conducted logistic regression to calculate the association between disability and insurance loss. Adjustment variables were gender, race, ethnicity, age, work or school status, poverty status, type of insurance at study onset, state generosity, and an interaction between disability and insurance type. This study includes 2,123 insured youth without disabilities, 320 insured youth with non-severe disabilities, and 295 insured youth with severe disabilities. Thirty-six percent of insured youth without disabilities lost insurance compared to 43% of insured youth with non-severe disabilities and 41% of insured youth with severe disabilities (P = .07). Youth with non-severe disabilities on public insurance have an estimated 61% lower odds of losing insurance (OR: 0.39; 95% CI: 0.16, 0.93; P = .03) compared to youth without disabilities on public insurance. Further, youth with severe disabilities on public insurance have an estimated 81% lower odds of losing insurance (OR: 0.19; 95% CI: 0.09, 0.40; P < .001) compared to youth without disabilities. When examining youth with private insurance, we find that youth with severe disabilities have 1.63 times higher odds (OR: 1.63; 95% CI: 1.03, 2.57; P = .04) of losing health insurance compared to youth without disabilities. Insurance type interacts with disability severity to affect odds of insurance loss among insured youth.
- 11 June 2009
- Published by Springer Nature in Maternal and Child Health Journal
- Vol. 14 (1) , 67-74
Open AccessRisk of Losing Insurance During the Transition into Adulthood Among Insured Youth with Disabilities
To compare insured youth (age 15–25 years) with and without disabilities on risk of insurance loss. We conducted a cross-sectional study using data from the Survey of Income and Program Participation 2001. Descriptive statistics characterized insured youth who maintained and lost insurance for at least 3 months over a 3-year time frame. We conducted logistic regression to calculate the association between disability and insurance loss. Adjustment variables were gender, race, ethnicity, age, work or school status, poverty status, type of insurance at study onset, state generosity, and an interaction between disability and insurance type. This study includes 2,123 insured youth without disabilities, 320 insured youth with non-severe disabilities, and 295 insured youth with severe disabilities. Thirty-six percent of insured youth without disabilities lost insurance compared to 43% of insured youth with non-severe disabilities and 41% of insured youth with severe disabilities (P = .07). Youth with non-severe disabilities on public insurance have an estimated 61% lower odds of losing insurance (OR: 0.39; 95% CI: 0.16, 0.93; P = .03) compared to youth without disabilities on public insurance. Further, youth with severe disabilities on public insurance have an estimated 81% lower odds of losing insurance (OR: 0.19; 95% CI: 0.09, 0.40; P < .001) compared to youth without disabilities. When examining youth with private insurance, we find that youth with severe disabilities have 1.63 times higher odds (OR: 1.63; 95% CI: 1.03, 2.57; P = .04) of losing health insurance compared to youth without disabilities. Insurance type interacts with disability severity to affect odds of insurance loss among insured youth.
- 25 November 2008
- Published by Springer Nature in Maternal and Child Health Journal
- Vol. 18 (7) , 1583-1590
Risk of Losing Insurance During the Transition into Adulthood Among Insured Youth with Disabilities
- 25 November 2008
- Published by Springer Nature in Maternal and Child Health Journal
- Vol. 18 (7) , 1583-1590
Risk of Losing Insurance During the Transition into Adulthood Among Insured Youth with Disabilities
- Open Access
- 1 October 2007
- Published by Elsevier in Genetics in Medicine
- Vol. 9 (10) , 713-718
Utilization trends of genetic clinics excluding prenatal services in Washington State, 1995–2004
- 1 October 2007
- Published by Elsevier in Genetics in Medicine
- Vol. 9 (10) , 713-718
Open AccessUtilization trends of genetic clinics excluding prenatal services in Washington State, 1995–2004
- 1 April 2007
- Published by American Public Health Association in American Journal of Public Health
- Vol. 97 (4) , 620-625
The Role of Genetics in the Provision of Essential Public Health Services
States include genetics services among their public health programs, but budget shortfalls raise the question, is genetics an essential part of public health? We used the Essential Services of Public Health consensus statement and data from state genetics plans to analyze states’ public health genetics programs. Public health genetics programs fulfill public health obligations: birth defects surveillance and prevention programs protect against environmental hazards, newborn screening programs prevent injuries, and clinical genetics programs ensure the quality and accessibility of health services. These programs fulfill obligations by providing 4 essential public health services, and they could direct future efforts toward privacy policies, research on communications, and rigorous evaluations.
- 1 April 2007
- Published by American Public Health Association in American Journal of Public Health
- Vol. 97 (4) , 620-625
The Role of Genetics in the Provision of Essential Public Health Services
States include genetics services among their public health programs, but budget shortfalls raise the question, is genetics an essential part of public health? We used the Essential Services of Public Health consensus statement and data from state genetics plans to analyze states’ public health genetics programs. Public health genetics programs fulfill public health obligations: birth defects surveillance and prevention programs protect against environmental hazards, newborn screening programs prevent injuries, and clinical genetics programs ensure the quality and accessibility of health services. These programs fulfill obligations by providing 4 essential public health services, and they could direct future efforts toward privacy policies, research on communications, and rigorous evaluations.
- 1 December 2004
- Published by SAGE Publications in The Journal of Alternative and Complementary Medicine
- Vol. 10 (6) , 1001-1008
The Effect of Mandating Complementary and Alternative Medicine Services on Insurance Benefits in Washington State
Objectives: Washington was the first state to require insurance companies to cover all categories of licensed providers. The purpose of this paper was to examine the effect of Washington's law on coverage decisions of major health plans. Design: The study uses literature and document review as well as key informant interviews. Settings/location: The study focuses on legislation and other legal activity in the state of Washington. The key informant interviews are focused on the decisions of three major health plans. Results: Although the law had a major effect on complementary and alternative medicine (CAM) coverage in Washington, the impact on the use of CAM services and expenditures has been bounded by changing market forces. Conclusions: CAM providers face scientific tests of measurable efficacy and market tests of consumer value. In this economic environment, CAM stakeholders will have to work hard to maintain their political gains.
- 1 December 2004
- Published by SAGE Publications in The Journal of Alternative and Complementary Medicine
- Vol. 10 (6) , 1001-1008
The Effect of Mandating Complementary and Alternative Medicine Services on Insurance Benefits in Washington State
Objectives: Washington was the first state to require insurance companies to cover all categories of licensed providers. The purpose of this paper was to examine the effect of Washington's law on coverage decisions of major health plans. Design: The study uses literature and document review as well as key informant interviews. Settings/location: The study focuses on legislation and other legal activity in the state of Washington. The key informant interviews are focused on the decisions of three major health plans. Results: Although the law had a major effect on complementary and alternative medicine (CAM) coverage in Washington, the impact on the use of CAM services and expenditures has been bounded by changing market forces. Conclusions: CAM providers face scientific tests of measurable efficacy and market tests of consumer value. In this economic environment, CAM stakeholders will have to work hard to maintain their political gains.