17 research outputs found
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The History of the Regulation of Menstrual Tampons
This paper examines the regulation of menstrual tampons in the United States from their introduction to the market some twenty five years ago to the standards that govern them in the twenty first century. After a brief replay of the introduction of the tampon into the US, this paper discusses the background regulatory scheme for such a medical device. Next, this paper traces the development of the federal rules regulating tampons and tampon packaging, as well as the battles fought in courts of law to accomplish this goal. Finally, topics related to tampon regulation are explored, including the debate over tampon ingredient labeling and the preemption of state law by the federal regulation of tampons
Conceptualizing childhood health problems using survey data: a comparison of key indicators
<p>Abstract</p> <p>Background</p> <p>Many definitions are being used to conceptualize child health problems. With survey data, commonly used indicators for identifying children with health problems have included chronic condition checklists, measures of activity limitations, elevated service use, and health utility thresholds. This study compares these different indicators in terms of the prevalence rates elicited, and in terms of how the subgroups identified differ.</p> <p>Methods</p> <p>Secondary data analyses used data from the National Longitudinal Survey of Children and Youth, which surveyed a nationally representative sample of Canadian children (n = 13,790). Descriptive analyses compared healthy children to those with health problems, as classified by any of the key indicators. Additional analyses examined differences between subgroups of children captured by a single indicator and those described as having health problems by multiple indicators.</p> <p>Results</p> <p>This study demonstrates that children captured by any of the indicators had poorer health than healthy children, despite the fact that over half the sample (52.2%) was characterized as having a health problem by at least one indicator. Rates of child ill health differed by indicator; 5.6% had an activity limitation, 9.2% exhibited a severe health difficulty, 31.7% reported a chronic condition, and 36.6% had elevated service use. Further, the four key indicators captured different types of children. Indicator groupings differed on child and socio-demographic factors. Compared to children identified by more than one indicator, those identified only by the severe health difficulty indicator displayed more cognitive problems (p < 0.0001), those identified only by the chronic condition checklist had a greater likelihood of reporting allergies or asthma (p < 0.0001), and those identified as having elevated service use only were more affluent (p = 0.01) and showed better overall health (p < 0.0001). Children identified by only a single indicator were less likely to have serious health problems than those identified by two or more indicators.</p> <p>Conclusion</p> <p>We provide information useful to researchers when selecting indicators from survey data to identify children with health problems. Researchers and policy makers need to be aware of the impact of such definitions on prevalence rates as well as on the composition of children classified as being in poor health.</p
Using Canadian administrative health data to measure the health of caregivers of children with and without health problems: A demonstration of feasibility.
Introduction
Caregivers of children with health problems experience poorer health than the caregivers of healthy children. To date, population-based studies on this issue have primarily used survey data.
Objectives
We demonstrate that administrative health data may be used to study these issues, and explore how non-categorical indicators of child health in administrative data can enable population-level study of caregiver health.
Methods
Dyads from Population Data British Columbia (BC) databases, encompassing nearly all mothers in BC with children aged 6-10 years in 2006, were grouped using a non-categorical definition based on diagnoses and service use. Regression models examined whether four maternal health outcomes varied according to indicators of child health.
Results
162,847 mother-child dyads were grouped according to the following indicators: Child High Service Use (18%) vs. Not (82%), Diagnosis of Major and/or Chronic Condition (12%) vs. Not (88%), and Both High Service Use and Diagnosis (5%) vs. Neither (75%). For all maternal health and service use outcomes (number of physician visits, chronic condition, mood or anxiety disorder, hospitalization), differences were demonstrated by child health indicators.
Conclusions
Mothers of children with health problems had poorer health themselves, as indicated by administrative data groupings. This work not only demonstrates the research potential of using routinely collected health administrative data to study caregiver and child health, but also the importance of addressing maternal health when treating children with health problems.
Keywords
Population data, linked data, case-mix, children with special health care need
Contextual influences of parenting behaviors for children with neurodevelopmental disorders : results from a Canadian national survey
Ethnopharmacological Screening of some East Kimberley Native Australian Plants for Antimicrobial Activity
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Bush Medicine Research Partnerships for Drug Discovery and Cultural Preservation
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