Evidence map›Paper›PMID 22623598›Full record

ReviewJournal of the National Cancer Institute. Monographs2012

Multilevel interventions: measurement and measures.

Martin P Charns, Mary K Foster, Elaine C Alligood, Justin K Benzer, James F Burgess, Donna Li, Nathalie M McIntosh, Allison Burness, Melissa R Partin, Steven B Clauser

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Institute. Monographs, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
–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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Multilevel interventions and racial/ethnic health disparities.Journal of the National Cancer Institute. Monographs · 2012
    Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. H-WORK Project: Multilevel Interventions to Promote Mental Health in SMEs and Public Workplaces.International journal of environmental research and public health · 2020
    Article
  9. Multilevel and Community-Level Interventions with Native Americans: Challenges and Opportunities.Prevention science : the official journal of the Society for Prevention Research · 2020
    Article
  10. Article
  11. Article
  12. The ecology of multilevel intervention research.Translational behavioral medicine · 2018
    Article
  13. Article
  14. Article
  15. A multilevel research perspective on cancer care delivery: the example of follow-up to an abnormal mammogram.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
    Article
  16. Multilevel intervention research: lessons learned and pathways forward.Journal of the National Cancer Institute. Monographs · 2012
    Article
  17. Multilevel intervention research applications in cancer care delivery.Journal of the National Cancer Institute. Monographs · 2012
    Article
  18. Multilevel interventions: study design and analysis issues.Journal of the National Cancer Institute. Monographs · 2012
    Article
  19. Article
  20. 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

10 authors.

Martin P CharnsCenter for Organization, Leadership and Management Research, US Department of Veterans Affairs, Boston, MA, USA.
Mary K Foster
Elaine C Alligood
Justin K Benzer
James F Burgess
Donna Li
Nathalie M McIntosh
Allison Burness
Melissa R Partin
Steven B Clauser

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultilevel intervention research holds the promise of more accurately representing real-life situations and, thus, with proper research design and measurement approaches, facilitating effective and efficient resolution of health-care system challenges. However, taking a multilevel approach to cancer care interventions creates both measurement challenges and opportunities.

methodsOne-thousand seventy two cancer care articles from 2005 to 2010 were reviewed to examine the state of measurement in the multilevel intervention cancer care literature. Ultimately, 234 multilevel articles, 40 involving cancer care interventions, were identified. Additionally, literature from health services, social psychology, and organizational behavior was reviewed to identify measures that might be useful in multilevel intervention research.

resultsThe vast majority of measures used in multilevel cancer intervention studies were individual level measures. Group-, organization-, and community-level measures were rarely used. Discussion of the independence, validity, and reliability of measures was scant. DISCUSSION: Measurement issues may be especially complex when conducting multilevel intervention research. Measurement considerations that are associated with multilevel intervention research include those related to independence, reliability, validity, sample size, and power. Furthermore, multilevel intervention research requires identification of key constructs and measures by level and consideration of interactions within and across levels. Thus, multilevel intervention research benefits from thoughtful theory-driven planning and design, an interdisciplinary approach, and mixed methods measurement and analysis.

Indexed as

Continuity of Patient CareHealth Services ResearchInterdisciplinary CommunicationOutcome and Process Assessment, Health CareResearch DesignCancer Care FacilitiesConfounding Factors, EpidemiologicDelivery of Health Care, IntegratedHumansNeoplasmsOutcome Assessment, Health CarePatient Care TeamQuality of Health CareUnited States

Identifiers

PMID22623598
PMCPMC3482970

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.