Evidence map›Paper›PMID 28813636›Full record

ArticlePublic health reports (Washington, D.C. : 1974)

Using Systems Science to Inform Population Health Strategies in Local Health Departments: A Case Study in San Antonio, Texas.

Yan Li, Norma A Padrón, Anil T Mangla, Pamela G Russo, Thomas Schlenker, José A Pagán

Open access · bronzeAbstract read
In one paragraph

Article in Public health reports (Washington, D.C. : 1974). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 17% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 5 institutions in 1 country.

Yan Li1 Center for Health Innovation, The New York Academy of Medicine, New York, NY, USA.
Norma A Padrón3 College of Population Health, Thomas Jefferson University, Philadelphia, PA, USA.
Anil T Mangla4 School of Osteopathic Medicine, University of the Incarnate Word, San Antonio, TX, USA.
Pamela G Russo5 Robert Wood Johnson Foundation, Princeton, NJ, USA.
Thomas Schlenker6 Interlex, San Antonio, TX, USA.
José A Pagán1 Center for Health Innovation, The New York Academy of Medicine, New York, NY, USA.
New York Academy of Medicine · USRobert Wood Johnson Foundation · USThomas Jefferson University · USUniversity of Pennsylvania · USUniversity of the Incarnate Word · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesBecause of state and federal health care reform, local health departments play an increasingly prominent role leading and coordinating disease prevention programs in the United States. This case study shows how a local health department working in chronic disease prevention and management can use systems science and evidence-based decision making to inform program selection, implementation, and assessment; enhance engagement with local health systems and organizations; and possibly optimize health care delivery and population health.

methodsThe authors built a systems-science agent-based simulation model of diabetes progression for the San Antonio Metropolitan Health District, a local health department, to simulate health and cost outcomes for the population of San Antonio for a 20-year period (2015-2034) using 2 scenarios: 1 in which hemoglobin A1c (HbA1c) values for a population were similar to the current distribution of values in San Antonio, and the other with a hypothetical 1-percentage-point reduction in HbA1c values.

resultsThey projected that a 1-percentage-point reduction in HbA1c would lead to a decrease in the 20-year prevalence of end-stage renal disease from 1.7% to 0.9%, lower extremity amputation from 4.6% to 2.9%, blindness from 15.1% to 10.7%, myocardial infarction from 23.8% to 17.9%, and stroke from 9.8% to 7.2%. They estimated annual direct medical cost savings (in 2015 US dollars) from reducing HbA1c by 1 percentage point ranging from $6842 (myocardial infarction) to $39 800 (end-stage renal disease) for each averted case of diabetes complications.

conclusionsLocal health departments could benefit from the use of systems science and evidence-based decision making to estimate public health program effectiveness and costs, calculate return on investment, and develop a business case for adopting programs.

Indexed as

Cost-Benefit AnalysisDisease ManagementSystems AnalysisBehavioral Risk Factor Surveillance SystemChronic DiseaseDiabetes ComplicationsDiabetes MellitusHumansModels, StatisticalOrganizational Case StudiesPublic HealthTexasagent-based modelingdiabeteslocal health departmentspopulation healthsystems science

Identifiers

PMID28813636
PMCPMC5593239
OpenAlexW2749820770

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.