Evidence map›Paper›PMID 31375082›Full record

ArticleBMC medical research methodology2019

How to analyse longitudinal data from multiple sources in qualitative health research: the pen portrait analytic technique.

Laura Sheard, Claire Marsh

Abstract read
In one paragraph

Article in BMC medical research methodology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Improving recovery after bowel cancer surgery: mixed methods feasibility study of a co-produced information intervention (Recover Together).Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland · 2024
    Article
  17. Article
  18. 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

2 authors.

Laura SheardBradford Institute for Health Research, Bradford Teaching Hospitals, Bradford, BD9 6RJ, UK. laura.sheard@bthft.nhs.uk.
Claire MarshBradford Institute for Health Research, Bradford Teaching Hospitals, Bradford, BD9 6RJ, UK.

Funding

Department of Health RP-PG-0108-10049
6 · The paper itself

Abstract

backgroundLongitudinal qualitative research is starting to be used in applied health research, having been popular in social research for several decades. There is potential for a large volume of complex data to be captured, over a span of months or years across several different methods. How to analyse this volume of data - with its inherent complexity - represents a problem for health researchers. There is a previous dearth of methodological literature which describes an appropriate analytic process which can be readily employed.

methodsWe document a worked example of the Pen Portrait analytic process, using the qualitative dataset for which the process was originally developed.

resultsPen Portraits are recommended as a way in which longitudinal health research data can be concentrated into a focused account. The four stages of undertaking a pen portrait are: 1) understand and define what to focus on 2) design a basic structure 3) populate the content 4) interpretation. Instructive commentary and guidance is given throughout with consistent reference to the original study for which Pen Portraits were devised. The Pen Portrait analytic process was developed by the authors, borne out of a need to effectively integrate multiple qualitative methods collected over time. Pen Portraits are intended to be adaptable and flexible, in order to meet the differing analytic needs of qualitative longitudinal health studies.

conclusionsThe Pen Portrait analytic process provides a useful framework to enable researchers to conduct a robust analysis of multiple sources of qualitative data collected over time.

Indexed as

Data Interpretation, StatisticalLongitudinal StudiesQualitative ResearchResearch DesignData CollectionDatasets as TopicEnglandHealth Services ResearchHospitalsHumansMulticenter Studies as TopicPatient SafetyProcess Assessment, Health CareRandomized Controlled Trials as TopicHealth researchLongitudinalMethodologyQualitative

Identifiers

PMID31375082
PMCPMC6679485

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.