Recommending Analytic Services for Population Health Studies Based on Feature Significance

2016 ◽  
Author(s):  
Jinhui Yao ◽  
Michael Shepherd ◽  
Jing Zhou ◽  
Lina Fu ◽  
Dennis Quebe ◽  
...  
Keyword(s):  
Population Health ◽  
Health Studies ◽  
Feature Significance

scholarly journals Health and mass unemployment events—developing a framework for preparedness and response

2018 ◽  
Vol 41 (4) ◽  
pp. 665-673
Author(s):  
A R Davies ◽  
L Homolova ◽  
C N B Grey ◽  
M A Bellis
Keyword(s):  
Public Health ◽  
Population Health ◽  
Early Warning System ◽  
Qualitative Data ◽  
Warning System ◽  
Adverse Impact ◽  
Structured Interviews ◽  
Health Studies ◽  
The Impact ◽  
Detrimental Impact

Abstract Background Mass unemployment events are not uncommon yet the impact on health is not well recognised. There is a need for a preparedness and response framework, as exists for other events that threaten population health. Methods Framework informed by a narrative review of the impact of mass unemployment on health (studies published in English from 1990 to 2016), and qualitative data from 23 semi-structured interviews with individuals connected to historical national and international events, addressing gaps in published literature on lessons learnt from past responses. Results Economic and employment shock triggered by mass unemployment events have a detrimental impact on workers, families and communities. We present a public health informed response framework which includes (i) identify areas at risk, (ii) develop an early warning system, (iii) mobilise multi-sector action including health and community, (iv) provision of support across employment, finance and health (v) proportionate to need, (vi) extend support to family members and (vii) communities and (viii) evaluate and learn. Conclusion Mass unemployment events have an adverse impact on the health, financial and social circumstances of workers, families, and communities. This is the first framework for action to mitigate and address the detrimental impact of mass unemployment events on population health.

Future Directions for Incorporating Intersectionality Into Quantitative Population Health Research

2020 ◽  
Vol 110 (6) ◽  
pp. 803-806 ◽  
Author(s):  
Madina Agénor
Keyword(s):  
Social Justice ◽  
Population Health ◽  
Health Research ◽  
Social Inequalities ◽  
Community Based Participatory Research ◽  
Social Identities ◽  
Structural Factors ◽  
Historical Processes ◽  
Health Studies ◽  
One Step

Intersectionality, an analytical approach rooted in Black feminist theory and praxis, has become more widely used in population health research. The majority of quantitative population health studies have used intersectionality as a theoretical framework to investigate how multiple social identities rather than social inequalities simultaneously influence health inequities. Although a few researchers have developed methods to assess how multiple forms of interpersonal discrimination shape the health of multiply marginalized groups and others have called for the use of multilevel modeling to examine the role of intersecting dimensions of structural discrimination, critical qualitative, multidisciplinary, and community-based participatory research approaches are needed to more fully incorporate the core ideas of intersectionality—including social inequality, relationality, complexity, power, social context, and social justice—into quantitative population health research studies or programs. By more comprehensively capturing and addressing the influence of intersecting structural factors, social and historical processes, and systems of power and oppression on the health of multiply marginalized individuals, quantitative population health researchers will more fully leverage intersectionality’s transformational power and move one step closer to achieving social justice and health equity.

scholarly journals Let’s not blame the patient: Understanding the benefits and shortcomings of population health in orthopaedic surgery

2018 ◽  
Vol 7 (3) ◽  
pp. 49
Author(s):  
Chad Amato ◽  
Zain Sayeed ◽  
Mark Lane ◽  
Muhammad T. Padela ◽  
Enrique Feria-Arias ◽  
...  
Keyword(s):  
Population Health ◽  
Patient Centered ◽  
Management Guidelines ◽  
Preventative Measures ◽  
Health Initiatives ◽  
Centered Care ◽  
Health Studies ◽  
Large Groups ◽  
Collection Methods ◽  
Proper Balance

Population health is a concept that emerged from the desire of providers to care for patients in a manner that produces the best possible outcomes while minimizing cost. It may be defined as the study of medical data of large groups of people in order to recognize and investigate patterns. This information is then used to create disease management guidelines that streamline care and regulate practice patterns. Whereas population health looks to recognize commonalities in data, the concept of patient-centered care focuses on embracing individualization and increasing the involvement of each patient within their treatment planning. Combining both perspectives creates a challenge for providers and patients to strike the proper balance between adhering to standardized guidelines based on the treatment methods and outcomes recognized in populations and applying it clinically to individual patients. A significant contribution of population health studies is the identification of risk factors associated with increased rates of complications following total joint arthroplasty as well as preventative measures for conditions such as osteoarthritis. However, to employ these findings in a patient-centered manner orthopaedic surgeons must take this a step further and also evaluate a patient’s ability to adhere to the recommendations by exploring factors such as home environment and socioeconomic factors, thus proactively addressing issues that could hinder patient compliance. With focused collection methods of acquiring data, these two practices of care will hopefully begin to see less divergence when it comes to applying data derived from population health initiatives to individual patients in a patient-centered manner.

Population Health Studies – What Do They Tell Us?

2013 ◽  
Vol 22 (11) ◽  
pp. 885-886
Author(s):  
Patricia M. Davidson ◽  
Cheryl Dennison- Himmelfarb
Keyword(s):  
Population Health ◽  
Health Studies

Measurement equivalence: a glossary for comparative population health research

2018 ◽  
Vol 72 (7) ◽  
pp. 559-563 ◽  
Author(s):  
Katherine Ann Morris
Keyword(s):  
Public Health ◽  
Health Disparities ◽  
Population Health ◽  
Health Research ◽  
Comparative Research ◽  
Measurement Equivalence ◽  
Health Problems ◽  
Primary Objective ◽  
Health Studies ◽  
Comparative Population

Comparative population health studies are becoming more common and are advancing solutions to crucial public health problems, but decades-old measurement equivalence issues remain without a common vocabulary to identify and address the biases that contribute to non-equivalence. This glossary defines sources of measurement non-equivalence. While drawing examples from both within-country and between-country studies, this glossary also defines methods of harmonisation and elucidates the unique opportunities in addition to the unique challenges of particular harmonisation methods. Its primary objective is to enable population health researchers to more clearly articulate their measurement assumptions and the implications of their findings for policy. It is also intended to provide scholars and policymakers across multiple areas of inquiry with tools to evaluate comparative research and thus contribute to urgent debates on how to ameliorate growing health disparities within and between countries.

scholarly journals Using electronic health records for population health sciences: a case study to evaluate the associations between changes in left ventricular ejection fraction and the built environment

JAMIA Open ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 386-394
Author(s):  
Yiye Zhang ◽  
Mohammad Tayarani ◽  
Subhi J Al’Aref ◽  
Ashley N Beecy ◽  
Yifan Liu ◽  
...  
Keyword(s):  
Built Environment ◽  
Ejection Fraction ◽  
Population Health ◽  
Subgroup Analysis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Ventricular Ejection Fraction ◽  
Health Studies ◽  
Electronic Health

Abstract Objective Electronic health record (EHR) data linked with address-based metrics using geographic information systems (GIS) are emerging data sources in population health studies. This study examined this approach through a case study on the associations between changes in ejection fraction (EF) and the built environment among heart failure (HF) patients. Materials and Methods We identified 1287 HF patients with at least 2 left ventricular EF measurements that are minimally 1 year apart. EHR data were obtained at an academic medical center in New York for patients who visited between 2012 and 2017. Longitudinal clinical information was linked with address-based built environment metrics related to transportation, air quality, land use, and accessibility by GIS. The primary outcome is the increase in the severity of EF categories. Statistical analyses were performed using mixed-effects models, including a subgroup analysis of patients who initially had normal EF measurements. Results Previously reported effects from the built environment among HF patients were identified. Increased daily nitrogen dioxide concentration was associated with the outcome while controlling for known HF risk factors including sex, comorbidities, and medication usage. In the subgroup analysis, the outcome was significantly associated with decreased distance to subway stops and increased distance to parks. Conclusions Population health studies using EHR data may drive efficient hypothesis generation and enable novel information technology-based interventions. The availability of more precise outcome measurements and home locations, and frequent collection of individual-level social determinants of health may further drive the use of EHR data in population health studies.

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