The welfare state determinants of health: Implications of regimes and pathways

Background. Population health within and between nations is heavily influenced by political determinants, yet these determinants have received significantly less attention than socioeconomic factors in public health. It has been hypothesized that the welfare state, as a political variable, may play a particularly prominent role in affecting both health indicators and health disparities in developed countries. The research, however, provides conflicting evidence regarding the health impact of particular regimes over others and the mechanisms through which the welfare state can most significantly affect health.^ Objective. To perform a systematic review of the literature as a means of exploring what the current research indicates regarding the benefits or detriments of particular regimes styles and the pathways through which the welfare state can impact heath indicators and health disparities within developed countries.^ Methods. A thorough search of the EBSCO, Pubmed, Medline, Web of Science, and Scopus electronic databases was conducted and resulted in the identification of 15 studies that evaluated the association between welfare state regime and population health outcomes, and/or pathways through with the welfare state influences health. ^ Results. Social democratic countries tended to perform best when infant mortality rate (IMR) was the primary outcome of interest, whereas liberal countries performed strongly in relation to self perceived health. The results were mixed regarding welfare state effectiveness in mitigating health inequities, with Christian democratic countries performing as well as social democratic countries. In relation to welfare state pathways, public health spending and medical coverage were associated with positive health indicators. Redistributive impact of the welfare state was also consistently associated with better health outcomes while social security expenditures were not.^ Discussion/Conclusions. Studies consistently discovered a significant relationship between the welfare state and population health and/or health disparities, lending support to the hypothesis that the welfare state is, indeed, an important non-medical determinant of health. However, it is still fairly unclear which welfare state regime may be most protective for health, as results varied according to the measured health indicator. The research regarding welfare state pathways is particularly undeveloped, and does not provide much insight into the importance of in-kind service provision or cash transfers, or targeted or universal approaches to the welfare state. Suggestions to direct future research are provided.^

A systematic review of literature to compare the fertility desires among HIV positive women and cancer survivors

Background. Decision-making on reproductive issues is influenced by an interplay of individual, familial, medical, religious and socio-cultural factors. Women with chronic medical illnesses such an HIV infection and cancers are often fraught with decisional conflicts about child-bearing. With increase in the incidence of these illnesses as well as improvement in survival rates, there is a need to pay due attention to the issue of reproductive decision-making. Examining the prevalence and determinants of fertility desires in the two groups in a comparative manner would help bring to light perception of the medical community and the society in general on the two illnesses and the issue of motherhood. ^ Methods. Systematic literature search was undertaken using databases such as MEDLINE (PubMED), MEDLINE (Ovid), PsycInfo and Web of Science. Articles published in English and English language abstracts for foreign articles were included. Studies that explore ‘fertility desires’ as the outcome variable were included. Quantitative studies which have assessed the prevalence of fertility desires as well as qualitative studies which have provided a descriptive understanding of factors governing reproductive desires were included in the review. ^ Results. A total of 34 articles (29 studies examining HIV and 5 studies examining cancer in relation to fertility desires). Variables such as age, stage of illness, support of spouse and family, perception of the medical community and one’s own view of motherhood were key determinants among both groups. ^ Conclusion. There is a need for uniform, systematic research in this field. It is important that health care workers acknowledge these decisional conflicts, include them as part of the medical care of these patients and provide guidance with the right balance of information, practicality and compassion.^

A systematic review of personalized therapy in patients with advanced cancer

Background: An increased understanding of the pathogenesis of cancer at the molecular level has led to the development of personalized cancer therapy based on the mutation status of the tumor. Tailoring treatments to genetic signatures has improved treatment outcomes in patients with advanced cancer. We conducted a meta-analysis to provide a quantitative summary of the response to treatment on a phase I clinical trial matched to molecular aberration in patients with advanced solid tumors. ^ Methods: Original studies that reported the results of phase I clinical trials in patients with advanced cancer treated with matched anti-cancer therapies between January 2006 and November 2011 were identified through an extensive search of Medline, Embase, Web of Science and Cochrane Library databases. Odds Ratio (OR) with 95% confidence interval (CI) was estimated for each study to assess the strength of an association between objective response rate (ORR) and mutation status. Random effects model was used to estimate the pooled OR and their 95% CI was derived. Funnel plot was used to assess publication bias. ^ Results: Thirteen studies published between January 2006 and November 2011that reported on responses to matched phase I clinical trials in patients with advanced cancer were included in the meta-analysis. Nine studies reported on the responses seen in 538 of the 835 patients with driver mutations responsive to therapy and seven studies on the responses observed in 234 of the 306 patients with mutation predictive for negative response. Random effects model was used to estimate pooled OR, which was 7.767(95% CI = 4.199 − 14.366; p-value=0.000) in patients with activating mutations that were responsive to therapy and 0.287 (95% CI = 0.119 − 0.694; p-value=0.009) in patients with mutation predictive of negative response. ^ Conclusion: It is evident from the meta-analysis that somatic mutations present in tumor tissue of patients are predictive of responses to therapy in patients with advanced cancer in phase I setting. Plethora of research and growing evidence base indicate that selection of patients based on mutation analysis of the tumor and personalizing therapy is a step forward in the war against cancer.^