scholarly journals A review of the structure and function of vital registration system in Ghana: towards improvement in mortality data quality for health policy analysis

2011 ◽  
Vol 2 (1) ◽  
Author(s):  
Julius N. Fobil ◽  
Eunice Aryee ◽  
Francis Bilson ◽  
Juergen May ◽  
Alexander Kraemer
Keyword(s):  
Health Policy ◽  
Policy Analysis ◽  
Data Quality ◽  
Structure And Function ◽  
Mortality Data ◽  
Vital Registration ◽  
Registration System ◽  
Health Policy Analysis ◽  
Vital Registration System ◽  
And Function

scholarly journals Conducting health policy analysis in primary care research: turning clinical ideas into action

2019 ◽  
Vol 7 (2) ◽  
pp. e000076 ◽  
Author(s):  
Alina Engelman ◽  
Ben Case ◽  
Lisa Meeks ◽  
Michael D Fetters
Keyword(s):  
Primary Care ◽  
Health Policy ◽  
Policy Analysis ◽  
Pap Smear ◽  
Policy Research ◽  
Primary Care Providers ◽  
Care Providers ◽  
Total Hysterectomy ◽  
Health Policy Analysis ◽  
Pap Smear Screening

Healthcare guidelines play a prominent role in the day-to-day practice of primary care providers, and health policy research leads to the formation of these guidelines. Health policy research is the multidisciplinary approach to public policy explaining the interaction between health institutions, special interests and theoretical constructs. In this article, we demonstrate how primary care providers can conduct high-impact health policy research using Eugene Bardach’s eightfold policy analysis framework in a primary care context. In a medical case, a woman with a history of total hysterectomy had scheduled a visit for a Papanicolaou (Pap) smear screening test as part of a well-woman health check-up with a family medicine resident. Conflicting recommendations on Pap smear screening after total hysterectomy sparked an investigation using the US Preventive Services Task Force criteria for conducting a health policy analysis. We illustrate broadly how clinical care dilemmas can be examined by using Bardach’s broadly applicable health policy framework in order to inform meaningful policy change. Bardach’s framework includes (1) defining the problem, (2) assembling evidence, (3) constructing alternatives, (4) selecting criteria, (5) projecting outcomes, (6) confronting trade-offs, (7) decision-making and (8) sharing the results of the process. The policy analysis demonstrated insufficient evidence to recommend Pap test screening after hysterectomy and the findings contributed to national recommendations. By following Bardach’s steps, primary care researchers have a feasible and powerful tool for conducting meaningful health policy research and analysis that can influence clinical practice.

Excess Mortality During the COVID-19 Pandemic in Philadelphia

2021 ◽  
pp. e1-e6
Author(s):  
Megan Todd ◽  
Meagan Pharis ◽  
Sam P. Gulino ◽  
Jessica M. Robbins ◽  
Cheryl Bettigole
Keyword(s):  
Public Health ◽  
Excess Mortality ◽  
Poisson Model ◽  
People Of Color ◽  
Mortality Data ◽  
Registration System ◽  
Vital Registration System ◽  
All Cause Mortality ◽  
Race Ethnicity ◽  
Excess Deaths

Objectives. To estimate excess all-cause mortality in Philadelphia, Pennsylvania, during the COVID-19 pandemic and understand the distribution of excess mortality in the population. Methods. With a Poisson model trained on recent historical data from the Pennsylvania vital registration system, we estimated expected weekly mortality in 2020. We compared these estimates with observed mortality to estimate excess mortality. We further examined the distribution of excess mortality by age, sex, and race/ethnicity. Results. There were an estimated 3550 excess deaths between March 22, 2020, and January 2, 2021, a 32% increase above expectations. Only 77% of excess deaths (n=2725) were attributed to COVID-19 on the death certificate. Excess mortality was disproportionately high among older adults and people of color. Sex differences varied by race/ethnicity. Conclusions. Excess deaths during the pandemic were not fully explained by COVID-19 mortality; official counts significantly undercount the true death toll. Far from being a great equalizer, the COVID-19 pandemic has exacerbated preexisting disparities in mortality by race/ethnicity. Public Health Implications. Mortality data must be disaggregated by age, sex, and race/ethnicity to accurately understand disparities among groups. (Am J Public Health. Published online ahead of print June 10, 2021: e1–e6. https://doi.org/10.2105/AJPH.2021.306285 )

scholarly journals Developing an operational framework for health policy analysis

2001 ◽  
Vol 1 (3) ◽  
pp. 203-221 ◽  
Author(s):  
José Luiz C. de Araújo Jr ◽  
Romulo Maciel Filho
Keyword(s):  
Health Policy ◽  
Policy Analysis ◽  
Systematic Analysis ◽  
Basic Framework ◽  
Health Policy Analysis

This article develops an original framework supporting health policy analysis that may be carried out by distinct research on various situations. The Walt and Gilson model for health policy analysis and its categories: Context, Content, Actors and Process, was taken as the basic framework of analysis. However, to be applied in practice that model needs to be unravelled. Its four major categories need to be operationalised and transformed into a matrix, with each one revealling the elements or sub-categories, and the necessary procedures to conduct a systematic analysis on the Context, Content, Actors and Process of a given health policy. Such an initiative was treated in this work.

Health Policy Analysis

2014 ◽  
Author(s):  
Ruopeng An ◽  
Christina Huang ◽  
Abdolvahab Baghbanian
Keyword(s):  
Health Policy ◽  
Policy Analysis ◽  
Health Policy Analysis
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