The PedsQL 4.0 as a pediatric population health measure: feasibility, reliability, and validity.

OBJECTIVE: To review the relationship between literacy and health outcomes DATA SOURCES: We searched MEDLINE, Cumulative Index to Nursing and Allied Health (CINAHL), Educational Resources Information Center (ERIC), Public Affairs Information Service (PAIS), Industrial and Labor Relations Review (ILLR), PsychInfo, and Ageline from 1980 to 2003 STUDY SELECTION: We included observational studies that reported original data, measured literacy with any valid instrument, and measured one or more health outcomes Two abstractors reviewed each study for inclusion and resolved disagreements by discussion DATA EXTRACTION: One reviewer abstracted data from each article into an evidence table; the second reviewer checked each entry The whole study team reconciled disagreements about information in evidence tables Both data extractors independently completed an 11-item quality scale for each article; scores were averaged to give a final measure of article quality DATA SYNTHESIS: We reviewed 3,015 titles and abstracts and pulled 684 articles for full review; 73 articles met inclusion criteria and, of those, 44 addressed the questions of this report Patients with low literacy had poorer health outcomes, including knowledge, intermediate disease markers, measures of morbidity, general health status, and use of health resources Patients with low literacy were generally 15 to 3 times more likely to experience a given poor outcome The average quality of the articles was fair to good Most studies were cross-sectional in design; many failed to address adequately confounding and the use of multiple comparisons CONCLUSIONS: Low literacy is associated with several adverse health outcomes Future research, using more rigorous methods, will better define these relationships and guide developers of new interventions

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Literacy and health outcomes

The measurement of satisfaction with healthcare: implications for practice from a systematic review of the literature.

A review of uses of health care utilization databases for epidemiologic research on therapeutics

Causal effect modeling with naturalistic rather than experimental data is challenging. In observational studies participants in different treatment conditions may also differ on pretreatment characteristics that influence outcomes. Propensity score methods can theoretically eliminate these confounds for all observed covariates, but accurate estimation of propensity scores is impeded by large numbers of covariates, uncertain functional forms for their associations with treatment selection, and other problems. This article demonstrates that boosting, a modern statistical technique, can overcome many of these obstacles. The authors illustrate this approach with a study of adolescent probationers in substance abuse treatment programs. Propensity score weights estimated using boosting eliminate most pretreatment group differences and substantially alter the apparent relative effects of adolescent substance abuse treatment.

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Propensity score estimation with boosted regression for evaluating causal effects in observational studies.

BACKGROUND

Employment and work-related disability were investigated in a cohort of adult cancer survivors who were working when they were diagnosed from 1997 to 1999 with a variety of cancers. Employment from the time of diagnosis through the early years of survivorship was studied, self-reported effects of cancer survival on disability and employment were quantified, and risk factors associated with cancer-related disability and withdrawal from employment were identified.



METHODS

One thousand four hundred thirty-three cancer survivors were interviewed by telephone from 1 year to nearly 5 years after diagnosis. They were asked retrospectively about employment from the time of diagnosis to follow-up and about work-related disability at follow-up. They also were asked whether disabilities or reasons for quitting work were cancer-related. Return to work and quitting work were projected over time in a life-table analysis. Risk factors were identified from logit analyses.



RESULTS

One of five survivors reported cancer-related disabilities at follow-up. Half of those with disabilities were working. A projected 13% of all survivors had quit working for cancer-related reasons within 4 years of diagnosis. More than half of survivors quit working after the first year, when three-quarters of those who stopped for treatment returned to work. Survivors of central nervous system, head and neck, and Stage IV blood and lymph malignancies had the highest adjusted risk of disability or quitting work.



CONCLUSIONS

Cancer survival sometimes has long-term effects on employment and the ability to work. Employment outcomes can be improved with innovations in treatment and with clinical and supportive services aimed at better management of symptoms, rehabilitation, and accommodation of disabilities. Cancer 2005. © 2005 American Cancer Society.

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cncr.20912

Employment pathways in a large cohort of adult cancer survivors.

The competing demands of work and elder care are the subject of this study. The employment decisions of the informal caregivers of a nationally representative sample of disabled elders were examined using a nested multinomial logit model. Findings from the work accommodation model demonstrated that primary caregivers and those caring for elders with greater care needs are more likely to take unpaid leave, reduce work hours, or rearrange their work schedules to assume elder care responsibilities. Being female, white, and in fair-to-poor health also increased the likelihood of work accommodation. The model predicting employment of a caregiver revealed that the prospect of having to accommodate work to the demands of caregiving keeps some people from work entirely. However, not all caregivers would choose to work in the absence of caregiving responsibilities. After controlling for the probability of work accommodation, need for care, and availability of others to care, it is more likely that younger, white and more highly educated caregivers will be employed. The self-selection of working caregivers observed in this study should be considered when forecasting changes in caregiving costs associated with changes in the labor force participation of caregivers as a result of deliberate policies or social and demographic trends.

The competing demands of employment and informal caregiving to disabled elders.

The long-term effects of cancer and its treatment on employment and productivity are a major concern for the 40% of cancer survivors in the U.S. who are working age. This study's objectives were (1) to quantify the increase in work disability attributable to cancer in a cohort of adult survivors who were an average of 46 months post-diagnosis and (2) to compare disability rates in cancer survivors to individuals with other chronic conditions. Data from the Penn State Cancer Survivor Study (PSCSS) and the Health and Retirement Study (HRS) were compared. The PSCSS sample included 647 survivors age 55-65, diagnosed at four medical centers in Pennsylvania and Maryland. There were 5988 similarly aged subjects without cancer in the HRS. Adjusted odds ratios for work disability were estimated for cancer survivorship, heart disease, stroke, diabetes, lung disease, and arthritis/rheumatism with multivariate logistic regression. Even for cancer-free survivors, the adjusted disability rate was significantly higher in comparison to adults with no chronic conditions (female OR = 1.94; male OR = 1.89). There were few significant differences between disability rates for cancer and other conditions. The elevated disability rate is another argument for viewing cancer survivorship as a chronic condition potentially requiring a broad range of psychosocial services.

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Work Disability Associated with Cancer Survivorship and Other Chronic Conditions

This study assesses the stability of Americans’ health insurance status over a four-year period. Relatively few Americans were continuously uninsured for the four years 1996 to 1999, but a sizable ...

Battery-Powered Health Insurance? Stability In Coverage Of The Uninsured

Every year since 1984, Congress has expanded Medicaid to cover an increasing proportion of low-income children. In this study, a multivariate analysis of data from the 1987 National Medical Expenditure Survey was used to determine whether expanded Medicaid eligibility is likely to be effective in encouraging recommended preventive visits for low-income, preschool children. For low-income children who would otherwise be uninsured, a full year of Medicaid increased the probability of any well-child visits by 17 percentage points, and compliance with the guidelines of the American Academy of Pediatrics for well-child visits increased by 13 percentage points. The generosity of Medicaid fees did not alter the magnitude of these effects. However, even if all uninsured children under 200% of the poverty line were eligible for Medicaid, low-income children would continue to lag behind other children in their use of preventive services. Factors other than insurance and income, such as the lower educational attainment of low-income mothers, explain approximately 80% of the gap between children above and below 200% of poverty. The rate of compliance with the American Academy of Pediatrics guidelines was less than 50% for all preschool children. Departures from the recommended schedule of visits were particularly pronounced in the second year of life and may interfere with children receiving the recommended immunizations in a timely manner.

Pamela Farley Short

Papers

Employment pathways in a large cohort of adult cancer survivors.

The competing demands of employment and informal caregiving to disabled elders.

Work Disability Associated with Cancer Survivorship and Other Chronic Conditions

Battery-Powered Health Insurance? Stability In Coverage Of The Uninsured

Encouraging preventive services for low-income children. The effect of expanding Medicaid.