Evidence map›Paper›PMID 35582773›Full record

ArticleInternational journal of nursing knowledge2022

Nurse-sensitive indicators during COVID-19.

Gaurdia Banister, Diane L Carroll, Kirsten Dickins, Jane Flanagan, Dorothy Jones, Sara E Looby, Jennifer E Cahill

Open access · greenAbstract read
In one paragraph

Article in International journal of nursing knowledge, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
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  5. Nurse-sensitive indicators during COVID-19.International journal of nursing knowledge · 2022
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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

7 authors at 2 institutions in 1 country.

Gaurdia BanisterMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0002-9629-866X
Diane L CarrollMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.
Kirsten DickinsMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.
Jane FlanaganMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2345-9941
Dorothy JonesMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.
Sara E LoobyMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.
Jennifer E CahillMassachusetts General Hospital, Yvonne L. Munn Center for Nursing Research, Boston, Massachusetts, USA.ORCID https://orcid.org/0000-0003-2879-8395
Massachusetts General Hospital · USBoston College · US

Funding

Connell-Jones Endowed Chair in Nursing and Patient Care Research
6 · The paper itself

Abstract

purposeNurses are on the forefront of delivering care to patients hospitalized with COVID-19. Nurses' impact on patient care can be discerned through assessment and documentation strategies, including structured and unstructured narratives, clinical pathways, flowsheets, and problem-based approaches. To date, there are no published reports regarding nursing assessment and documentation during the COVID-19 pandemic using an assessment framework to capture clinical decision making, nursing diagnoses, and key social determinant of health (SDoH) data. Hence, the purpose of this investigation was to conduct an exploratory nursing documentation audit of patients hospitalized with COVID-19 during the first surge to identify types and frequency of nurse-sensitive indicators, including SDoH.

methodThis pilot study utilized a retrospective chart review design at a single academic medical center, utilizing Gordon's Eleven Functional Health Patterns (FHP) framework to extract clinical, social, and nursing assessment data for patients hospitalized with COVID-19. Descriptive statistics were computed for continuous variables and counts/percentages for categorical variables.

findingsData from 94 patient records were analyzed. Most patients were male (59.6%), with a mean age of 58 years. Nearly 15% of patients were Black and 12.8% were Hispanic, most residing in four geographic areas. Nine of the 11 FHPs were reflected in nurse-sensitive indicators documented in the electronic health record. SDoH data were inconsistently documented, including race, education, history of neglect/abuse, and occupation.

conclusionThe FHP framework captured many nurse-sensitive indicators during the first COVID-19 surge, although screening for and documenting SDoH data were limited. IMPLICATIONS FOR NURSING PRACTICE: Findings can influence the development of nursing assessment and documentation during crisis care delivery that are inclusive of distinct sociodemographic factors, in addition to clinical factors, to provide comprehensive, culturally sensitive care. Such documentation will enhance the use of nursing knowledge guided by a nursing framework to make visible the essential contributions of nurses to healthcare delivery.

Indexed as

COVID-19FemaleHumansMaleMiddle AgedNursing AuditPandemicsPilot ProjectsRetrospective StudiesCOVID-19functional healthindicatorspattern;nurse-sensitive

Identifiers

PMID35582773
PMCPMC9347404
OpenAlexW4280548477

What OpenQuestion holds

Textmetadata
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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.