Evidence map›Paper›PMID 41420420›Full record

ArticleResearch in nursing & health2026

Navigating Integration in Mixed-Methods: A Practical Guide for Novice Nursing Researchers.

Natasha Hawkins, Sarah Yeun-Sim Jeong, Jenny Sim

Abstract read
In one paragraph

Article in Research in nursing & health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Natasha HawkinsSchool of Health, University of New England, Armidale, New South Wales, Australia.ORCID 0000-0003-4265-884X
Sarah Yeun-Sim JeongSchool of Nursing, Faculty of Medicine and Health, University of Sydney, Camperdown, New South Wales, Australia.ORCID 0000-0001-7253-1511
Jenny SimNSW Head of School, School of Nursing, Midwifery & Paramedicine, Australian Catholic University, Sydney, New South Wales, Australia.ORCID 0000-0001-6863-0541

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed-methods research is increasingly used in healthcare to understand complex issues, yet integration of qualitative and quantitative findings remains challenging, particularly for novice researchers. This paper provides a practical guide for nursing researchers to integrate survey and interview data effectively. Using a sequential explanatory design exemplar with an embedded quasi-experimental component, we demonstrate key integration strategies, including joint displays and narrative weaving. The paper emphasizes that robust integration must be planned from the outset, with clear goals specifying how data types will address research questions. We illustrate how purposeful integration points, carefully constructed joint displays, and narrative synthesis of meta-inferences can generate deeper insights than either method alone. By providing concrete examples and step-by-step guidance, this resource equips novice researchers with essential skills for achieving rigorous, cohesive integration in mixed-methods studies.

Indexed as

Nursing ResearchResearch DesignHumansInterviews as TopicQualitative Researchintegrationmethodologymixed‐methods designnursing researchsequential explanatory design

Identifiers

PMID41420420
PMCPMC12954644

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.