Dataset Information

Identifying and Chronicling Childhood Lead Poisoning Prevention Program Achievements With "Success Stories".

ABSTRACT: Success stories showcase a public health program's progress toward achieving population health objectives. The Centers for Disease Control and Prevention's (CDC's) Childhood Lead Poisoning Prevention Program (CLPPP) develops "success stories" in partnership with state and local cooperative agreement recipients as one way to highlight lead poisoning prevention achievements. Success stories can be used to inform policy makers, stakeholders, and the general public. Over time, the process for collecting and developing CLPPP "successes" has evolved. Early efforts to collect success stories from funded recipients resulted in broad or unfocused reports that diminished the program's perceived impact. CDC's CLPPP revised the approach to success story development in order to better articulate the context, intervention or activity, and results related to programs' successes. The new approach results in stronger products ensuring that both CDC and program recipients can use the success stories to demonstrate achievement of key program objectives. We describe how success stories can be used to identify, chronicle, and mobilize public health program achievements using the example of lead poisoning prevention. Success stories allow programs to increase mission awareness, build stakeholder support, generate community interest, and collectively demonstrate progress toward meeting national program objectives.

SUBMITTER: Lockamy-Kassim E

PROVIDER: S-EPMC6433369 | biostudies-literature | 2019 Jan/Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Identifying and Chronicling Childhood Lead Poisoning Prevention Program Achievements With "Success Stories".

Lockamy-Kassim Elise E Friedberg Jared J Newby Christina C Lecours Carolina C Credle Kimball K Leonard Monica M

Journal of public health management and practice : JPHMP 20190101

Success stories showcase a public health program's progress toward achieving population health objectives. The Centers for Disease Control and Prevention's (CDC's) Childhood Lead Poisoning Prevention Program (CLPPP) develops "success stories" in partnership with state and local cooperative agreement recipients as one way to highlight lead poisoning prevention achievements. Success stories can be used to inform policy makers, stakeholders, and the general public. Over time, the process for collec ...[more]

PMID: 30507779

Similar Datasets

Project description:ContextChildhood lead poisoning prevention in the United States was marked by a largely failed medical approach from 1971 to 1990; an emergent (but small) healthy housing primary prevention strategy from 1991 to 2015; and implementation of large-scale proven interventions since then.ProgramChildhood Lead Poisoning Prevention & Healthy Housing.MethodsHistoric and recent health and housing data from the National Health and Nutrition Examination Survey (NHANES) and the American Healthy Homes Survey (AHHS) were retrieved to analyze trends and associated policy gaps.EvaluationApproximately 590 000 US children aged 1 through 5 years had elevated blood lead levels of 3.5 μg/dL and greater in 2016, and 4.3 million children resided in homes with lead paint in 2019. Despite large improvements, racial and other disparities remain stubbornly and statistically significant. The NHANES and the AHHS require larger sample sizes. The Centers for Disease Control and Prevention has not published children's blood lead surveillance and NHANES data in several years; the Department of Housing and Urban Development (HUD) has no analogous housing surveillance system; and the Environmental Protection Agency (EPA) and the Occupational Safety and Health Administration (OSHA) have not updated training, Superfund, and occupational standards in decades.DiscussionThe nation has been without a plan and an associated budget for more than 2 decades. Congress has not reformed the nation's main lead poisoning prevention laws in more than 30 years. Such reforms include stopping US companies from producing new residential lead paint in other countries; enabling the disclosure law to identify all residential lead hazards; closing loopholes in federally assisted housing regulations and mortgage insurance standards; harnessing tax policy to help homeowners mitigate lead hazards; streamlining training requirements; increasing the size of health and housing surveys and surveillance systems; and updating housing codes, medical guidance, dust lead standards, training, Superfund, and worker exposure limits. Congress and the president should reauthorize a cabinet-level task force (dormant since 2010) to develop a new strategic plan with an interagency budget to implement it. These reforms will scale and optimize markets, subsidies, enforcement, and other proven interventions to end ineffective, costly, harmful, and irrational cost shifting that threatens children, workers, and affordable housing.

Project description:ImportanceChildhood lead poisoning causes irreversible neurobehavioral deficits, but current practice is secondary prevention.ObjectiveTo validate a machine learning (random forest) prediction model of elevated blood lead levels (EBLLs) by comparison with a parsimonious logistic regression.Design, setting, and participantsThis prognostic study for temporal validation of multivariable prediction models used data from the Women, Infants, and Children (WIC) program of the Chicago Department of Public Health. Participants included a development cohort of children born from January 1, 2007, to December 31, 2012, and a validation WIC cohort born from January 1 to December 31, 2013. Blood lead levels were measured until December 31, 2018. Data were analyzed from January 1 to October 31, 2019.ExposuresBlood lead level test results; lead investigation findings; housing characteristics, permits, and violations; and demographic variables.Main outcomes and measuresIncident EBLL (≥6 μg/dL). Models were assessed using the area under the receiver operating characteristic curve (AUC) and confusion matrix metrics (positive predictive value, sensitivity, and specificity) at various thresholds.ResultsAmong 6812 children in the WIC validation cohort, 3451 (50.7%) were female, 3057 (44.9%) were Hispanic, 2804 (41.2%) were non-Hispanic Black, 458 (6.7%) were non-Hispanic White, and 442 (6.5%) were Asian (mean [SD] age, 5.5 [0.3] years). The median year of housing construction was 1919 (interquartile range, 1903-1948). Random forest AUC was 0.69 compared with 0.64 for logistic regression (difference, 0.05; 95% CI, 0.02-0.08). When predicting the 5% of children at highest risk to have EBLLs, random forest and logistic regression models had positive predictive values of 15.5% and 7.8%, respectively (difference, 7.7%; 95% CI, 3.7%-11.3%), sensitivity of 16.2% and 8.1%, respectively (difference, 8.1%; 95% CI, 3.9%-11.7%), and specificity of 95.5% and 95.1% (difference, 0.4%; 95% CI, 0.0%-0.7%).Conclusions and relevanceThe machine learning model outperformed regression in predicting childhood lead poisoning, especially in identifying children at highest risk. Such a model could be used to target the allocation of lead poisoning prevention resources to these children.

Project description:BackgroundFaculty development programs (FDPs) in health professions education (HPE) are instrumental in supporting, promoting, and improving HPE curricula and activities that target individual- and system-level capacity strengthening. FAIMER, a division of Intealth, has been offering FDPs for global health professions educators in HPE and leadership for over two decades through the International FAIMER Institute in the USA and FAIMER Regional Institutes located globally. This paper explores perceptions of former program participants (Fellows) of FAIMER global FDPs by eliciting their success stories.MethodsThe study utilized a modified Success Case Method approach. Study participants recruited were 14 FAIMER Fellows nominated as exemplars of success cases by program directors and faculty members from seven global sites, using extreme case sampling technique. Of the 14 Fellows, two were from Africa, nine from Asia and three from Latin America. In-depth interviews were conducted with each Fellow to understand their self-perceived success, and factors from both their local context and FAIMER's FDPs that have contributed to their success. Theoretical thematic analysis method was used to analyze the data.ResultsThe top three areas of success perceived by Fellows were career advancement & recognition, professional development, and advancement of HPE. Fellows identified both institutional-level factors and personal attributes as contributing to their success. They also reported that FAIMER global FDPs have substantially contributed to their success by expanding professional networks, fostering academic achievement, and enhancing interpersonal development and leadership skills.ConclusionsThe findings show that Fellows perceive that there are multiple pathways for them to succeed in advancing the field of HPE. The Fellows' stories highlight the continuing value of FAIMER global FDPs for HPE educators worldwide in professional development and leadership. The study also proposes recommendations for enhancing faculty development activities in HPE.

Dataset Information

Identifying and Chronicling Childhood Lead Poisoning Prevention Program Achievements With "Success Stories".

Publications

Identifying and Chronicling Childhood Lead Poisoning Prevention Program Achievements With "Success Stories".

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets