Using Quantitative and Qualitative Methods to Pretest the Publication Take Charge of Your Diabetes: A Guide for Care

Quantitative and qualitative methods used to pretest the guidebook Take Charge of Your Diabetes: A Guide for Care are presented in this paper. Questionnaires were used as the quantitative method (completed by 59 diabetes educators and 301 people with diabetes) and focus groups were used as the qualitative method (3 groups composed of 22 black men and women with diabetes) to examine the relevance, purpose, content, and presentation of the Guide. Findings from between-methods triangulation supported the relevance, clarity Of messages, identification of groups that would be most likely to benefit, readability, understandability, and credibility of the Guide. Specific areas that needed modification were identified. Each evaluation method provided unique data; for example, quantifiable data on intention to change behavior was provided from one method and a recommendation that diversity be maintained was provided from the other method, The relative strengths and limitations of combining quantitative and qualitative approaches are described.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68540/2/10.1177_014572179602200608.pd

Incidence of Dementia and Alzheimer Disease Over Time: A Meta-Analysis

Background/Objectives: Population-based incidence estimates of dementia and Alzheimer’s disease (AD) provide important information for public health policy and resource allocation. We conducted a meta-analysis of published studies that reported age-specific incidence rates of dementia and AD to determine whether dementia and AD incidence rates are changing over time. Design: PubMed and MEDLINE were searched for publications through June 30, 2017 using keywords dementia, Alzheimer, and incidence. Inclusion criteria for the meta-analysis are: (1) population-based studies using personal interviews and direct examinations of the study subjects, (2) Standardized clinical diagnosis criteria, (3) Reporting age-specific incidence rates, (4) Published in English, and (5) Sample size greater or equal to 500 and length of follow-up greater or equal than two years. Mixed effects models were used to determine the association between birth year and incidence rates. Measurements: Age-specific dementia/AD incidence rates and their standard errors reported in each study. Results: Thirty-eight articles with 53 cohorts on dementia incidence and 31 articles with 35 cohorts on AD incidence met the inclusion criteria. There were significant associations between later birth years and decreased dementia incidence rates in all three age groups (65-74, 75-84 and 85+). There were no significant associations between birth year and AD incident rates in any of the three age groups. In particular, AD incidence rates reported from Western countries stayed steady in all age groups while studies in non-Western countries showed significantly increased AD incidence rates for the 65-74 age group (OR=2.78, p=0.04), but non-significant association for the 75-84 or 85+ groups. Conclusion: Dementia incidence declined over the last four decades, but AD incidence did not decline. Further research, especially from non-Western countries, is needed to elucidate the mechanism underlying the trends in dementia and AD incidence over time

The development and pilot testing of a rapid assessment tool to improve local public health system capacity in Australia

<p>Abstract</p> <p>Background</p> <p>To operate effectively the public health system requires infrastructure and the capacity to act. Public health's ability to attract funding for infrastructure and capacity development would be enhanced if it was able to demonstrate what level of capacity was required to ensure a high performing system. Australia's public health activities are undertaken within a complex organizational framework that involves three levels of government and a diverse range of other organizations. The question of appropriate levels of infrastructure and capacity is critical at each level. Comparatively little is known about infrastructure and capacity at the local level.</p> <p>Methods</p> <p>In-depth interviews were conducted with senior managers in two Australian states with different frameworks for health administration. They were asked to reflect on the critical components of infrastructure and capacity required at the local level. The interviews were analyzed to identify the major themes. Workshops with public health experts explored this data further. The information generated was used to develop a tool, designed to be used by groups of organizations within discrete geographical locations to assess local public health capacity.</p> <p>Results</p> <p>Local actors in these two different systems pointed to similar areas for inclusion for the development of an instrument to map public health capacity at the local level. The tool asks respondents to consider resources, programs and the cultural environment within their organization. It also asks about the policy environment - recognizing that the broader environment within which organizations operate impacts on their capacity to act. Pilot testing of the tool pointed to some of the challenges involved in such an exercise, particularly if the tool were to be adopted as policy.</p> <p>Conclusion</p> <p>This research indicates that it is possible to develop a tool for the systematic assessment of public health capacity at the local level. Piloting the tool revealed some concerns amongst participants, particularly about how the tool would be used. However there was also recognition that the areas covered by the tool were those considered relevant.</p

Estimating prevalence of overweight and obesity at the neighborhood level: the value of maternal height and weight data available on birth certificate records

<p>Abstract</p> <p>Objective</p> <p>To determine the value of maternal height and weight data on birth certificate records when estimating prevalence of overweight and obese adults at the neighborhood level.</p> <p>Research Design and Methods</p> <p>Regression analysis was used to determine how much variation in the percentage of the adult population with a body mass index (BMI) of ≥ 25 (based on survey data) could be accounted for by the percentage of mothers with BMI ≥ 25 (based on birth certificate data) -- alone and in combination with other sociodemographic characteristics of census tracts.</p> <p>Results</p> <p>Alone, the percentage of mothers with BMI ≥ 25 explained more than half (R²= .52) of the variation in the percentage of all residents in census tracts with BMI ≥ 25; in combination with several measures of the sociodemographic characteristics of the census tracts, 75% ( R²= 75.2) of the variation is explained.</p> <p>Conclusions</p> <p>Maternal height and weight data available from birth certificate records may be useful for identifying neighborhoods with relatively high or low prevalence of adult residents who are overweight or obese. This is especially true if used in combination with readily available census data.</p

Referrals for positive tuberculin tests in new health care workers and students: a retrospective cohort study

<p>Abstract</p> <p>Background</p> <p>Documentation of test results for latent tuberculosis (TB) infection is important for health care workers and students before they begin work. A negative result provides a baseline for comparison with future tests. A positive result affords a potential opportunity for treatment of latent infection when appropriate. We sought to evaluate the yield of the referral process for positive baseline tuberculin tests, among persons beginning health care work or studies.</p> <p>Methods</p> <p>Retrospective cohort study. We reviewed the charts of all new health care students and workers referred to the Montreal Chest Institute in 2006 for positive baseline tuberculin skin tests (≥10 mm). Health care workers and students evaluated for reasons other than positive baseline test results were excluded.</p> <p>Results</p> <p>630 health care students and workers were evaluated. 546 (87%) were foreign-born, and 443 (70%) reported previous Bacille Calmette-Guérin (BCG) vaccination. 420 (67%) were discharged after their first evaluation without further treatment. 210 (33%) were recommended treatment for latent TB infection, of whom 165 (79%) began it; of these, 115 (70%) completed adequate treatment with isoniazid or rifampin. Treatment discontinuation or interruption occurred in a third of treated subjects, and most often reflected loss to follow-up, or abdominal discomfort. No worker or student had active TB.</p> <p>Conclusions</p> <p>Only a small proportion of health care workers and students with positive baseline tuberculin tests were eligible for, and completed treatment for latent TB infection. We discuss recommendations for improving the referral process, so as to better target workers and students who require specialist evaluation and treatment for latent TB infection. Treatment adherence also needs improvement.</p

Breast Cancer Incidence Among American Indian and Alaska Native Women: US, 1999–2004

BACKGROUND. Breast cancer is a leading cause of cancer morbidity and mortality among American Indian and Alaska Native (AI/AN) women. Although published studies have suggested that breast cancer rates among AI/AN women are lower than those among other racial and ethnic populations, accurate determinations of the breast cancer burden have been hampered by misclassification of AI/AN race. METHODS. Cancer incidence data from the National Program of Cancer Registries and the Surveillance, Epidemiology, and End Results Program were combined to estimate age-adjusted rates for the diagnosis years 1999 through 2004. Several steps were taken to reduce the misclassification of AI/AN race: linking cases to Indian Health Service (IHS) patient services database, restricting analyses to Contract Health Service Delivery Area counties, and stratifying results by IHS region. RESULTS. Breast cancer incidence rates among AI/AN women varied nearly 3- fold across IHS regions. The highest rates were in Alaska (134.8) and the Plains (Northern, 115.9; Southern, 115.7), and the lowest rates were in the Southwest (50.8). The rate in Alaska was similar to the rate among non-Hispanic white (NHW) women in Alaska. Overall, AI/AN women had lower rates of breast cancer than NHW women, but AI/AN women were more likely to be diagnosed with late-stage disease. CONCLUSIONS. To the authors’ knowledge, this report provides the most comprehensive breast cancer incidence data for AI/AN women to date. The wide regional variation indicates an important need for etiologic and health services research, and the large percentage of AI/AN women with late-stage disease demands innovative approaches for increasing access to screening

Developing core elements and checklist items for global hospital antimicrobial stewardship programmes:a consensus approach

International audienc

Dietary assessment in minority ethnic groups: A systematic review of portion size estimation instruments relevant for the UK

This is a pre-copyedited, author-produced PDF of an article accepted for publication in Nutrition Reviews following peer review. The version of record Almiron-Roig, E., Galloway, C., Aitken, A. & Ellahi., B. (2016). Dietary assessment in minority ethnic groups: A systematic review of portion size estimation instruments relevant for the UK. Nutrition Reviews, 75(3), 188-213. DOI: 10.1093/nutrit/nuw058 is available online at: https://academic.oup.com/nutritionreviews/article-lookup/doi/10.1093/nutrit/nuw058Context: Dietary assessment in minority ethnic groups is critical for surveillance programmes and for implementing effective interventions. A major challenge is the accurate estimation of portion sizes for traditional foods/dishes. Objective: To systematically review published records up to 2014 describing a portion size estimation element (PSEE) applicable to dietary assessment of UK-residing ethnic minorities. Data sources, selection, extraction: Electronic databases, internet sites, and theses repositories were searched generating 5683 titles from which 57 eligible full-text records were reviewed. Data analysis: Forty-two publications aimed at minority ethnic groups (n=20) or autochthonous populations (n=22) were included. The most common PSEE (47%) were combination tools (e.g. food models and portion size lists); followed by portion size lists in questionnaires/guides (19%); image-based and volumetric tools (17% each). Only 17% PSEE had been validated against weighed data. Conclusions: When developing ethnic-specific dietary assessment tools it is important to consider customary portion sizes by sex and age; traditional household utensil usage and population literacy levels. Combining multiple PSEE may increase accuracy but such tools need validating

A case-control study of determinants for high and low dental caries prevalence in Nevada youth

<p>Abstract</p> <p>Background</p> <p>The main purpose of this study was to compare the 30% of Nevada Youth who presented with the highest Decayed Missing and Filled Teeth (DMFT) index to a cohort who were caries free and to national NHANES data. Secondly, to explore the factors associated with higher caries prevalence in those with the highest DMFT scores compared to the caries-free group.</p> <p>Methods</p> <p>Over 4000 adolescents between ages 12 and 19 (Case Group: N = 2124; Control Group: N = 2045) received oral health screenings conducted in public/private middle and high schools in Nevada in 2008/2009 academic year. Caries prevalence was computed (Untreated decay scores [D-Score] and DMFT scores) for the 30% of Nevada Youth who presented with the highest DMFT score (case group) and compared to the control group (caries-free) and to national averages. Bivariate and multivariate logistic regression was used to analyze the relationship between selected variables and caries prevalence.</p> <p>Results</p> <p>A majority of the sample was non-Hispanic (62%), non-smokers (80%), and had dental insurance (70%). With the exception of gender, significant differences in mean D-scores were found in seven of the eight variables. All variables produced significant differences between the case and control groups in mean DMFT Scores. With the exception of smoking status, there were significant differences in seven of the eight variables in the bivariate logistic regression. All of the independent variables remained in the multivariate logistic regression model contributing significantly to over 40% of the variation in the increased DMFT status. The strongest predictors for the high DMFT status were racial background, age, fluoridated community, and applied sealants respectively. Gender, second hand smoke, insurance status, and tobacco use were significant, but to a lesser extent.</p> <p>Conclusions</p> <p>Findings from this study will aid in creating educational programs and other primary and secondary interventions to help promote oral health for Nevada youth, especially focusing on the subgroup that presents with the highest mean DMFT scores.</p