Evidence map›Paper›PMID 19686250›Full record

ArticleHealth services research2009

A framework to measure the value of public health services.

Peter D Jacobson, Peter J Neumann

Abstract readMulticenter Study
In one paragraph

Article in Health services research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. An integrative review of information systems and terminologies used in local health departments.Journal of the American Medical Informatics Association : JAMIA · 2014
    Review
  7. Article
  8. 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

2 authors.

Peter D JacobsonCenter for Law, Ethics, and Health, University of Michigan, School of Public Health, Ann Arbor, MI 48109-2029, USA. pdj@umich.edu
Peter J Neumann

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo develop a framework that public health practitioners could use to measure the value of public health services. DATA SOURCES: Primary data were collected from August 2006 through March 2007. We interviewed (n=46) public health practitioners in four states, leaders of national public health organizations, and academic researchers. STUDY

designUsing a semi-structured interview protocol, we conducted a series of qualitative interviews to define the component parts of value for public health services and identify methodologies used to measure value and data collected. DATA COLLECTION/EXTRACTION

methodsThe primary form of analysis is descriptive, synthesizing information across respondents as to how they measure the value of their services. PRINCIPAL

findingsOur interviews did not reveal a consensus on how to measure value or a specific framework for doing so. Nonetheless, the interviews identified some potential strategies, such as cost accounting and performance-based contracting mechanisms. The interviews noted implementation barriers, including limits to staff capacity and data availability.

conclusionsWe developed a framework that considers four component elements to measure value: external factors that must be taken into account (i.e., mandates); key internal actions that a local health department must take (i.e., staff assessment); using appropriate quantitative measures; and communicating value to elected officials and the public.

Indexed as

Health Care RationingData CollectionHealth Services ResearchHumansModels, TheoreticalPublic Health AdministrationPublic Health PracticeUnited States

Identifiers

PMID19686250
PMCPMC2758411

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.