Primary Care Nurses’ Experiences of Structured Documentation: A Qualitative Interview Study

Healthcare is undergoing an unprecedented technological transition to structured documentation in electronic health records (EHR), which has the potential to increase the quality of documentation. However, given the rising demand for direct transfer of data, there is a risk that requirements for more documentation will follow. This study seeks to investigate primary care nurses' experiences of structured documentation with direct transfer to a national quality registry. Nine primary care nurses using structured documentation in their management of chronic obstructive pulmonary disease (COPD) patients were recruited from different Swedish regions. The semi-structured interviews addressed experiences and work procedures when using a structured documentation template with direct data transfer to a quality register. Interviews were transcribed verbatim and analyzed using qualitative content analysis. Data were framed according to five key concepts; patient safety, time-saving work methods, quality of care, equitable care, and professional autonomy. The nurses experienced some barriers in relation to structured documentation but mainly observed benefits, raising the potential to enhance equitable care and safety for patients with COPD in primary care. Professional experience and autonomy were described as important prerequisites in achieving these benefits. The findings from this study can contribute to strengthening the documentation work procedures of nurses.

Authors

Institutions

Publication Details

Journal
Global Qualitative Nursing Research
Published
2025-04-12
DOI
https://doi.org/10.1177/23333936251330684
Primary Topic
Nursing Diagnosis and Documentation
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Primary Care Nurses’ Experiences of Structured Documentation: A Qualitative Interview Study

Tora Hammar, Karin Myrberg, Anna Dalsten Hjort
Global Qualitative Nursing Research
Nursing Diagnosis and Documentation
article

Primary Care Nurses’ Experiences of Structured Documentation: A Qualitative Interview Study

Tora Hammar, Karin Myrberg, Anna Dalsten Hjort
article en

Abstract

Healthcare is undergoing an unprecedented technological transition to structured documentation in electronic health records (EHR), which has the potential to increase the quality of documentation. However, given the rising demand for direct transfer of data, there is a risk that requirements for more documentation will follow. This study seeks to investigate primary care nurses' experiences of structured documentation with direct transfer to a national quality registry. Nine primary care nurses using structured documentation in their management of chronic obstructive pulmonary disease (COPD) patients were recruited from different Swedish regions. The semi-structured interviews addressed experiences and work procedures when using a structured documentation template with direct data transfer to a quality register. Interviews were transcribed verbatim and analyzed using qualitative content analysis. Data were framed according to five key concepts; patient safety, time-saving work methods, quality of care, equitable care, and professional autonomy. The nurses experienced some barriers in relation to structured documentation but mainly observed benefits, raising the potential to enhance equitable care and safety for patients with COPD in primary care. Professional experience and autonomy were described as important prerequisites in achieving these benefits. The findings from this study can contribute to strengthening the documentation work procedures of nurses.

Global Qualitative Nursing ResearchVol. 12
Uppsala University (SE), Linnaeus University (SE), University of Gävle (SE)
Openalex Percentile: Top 88%
Nursing Diagnosis and Documentation
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.