Evidence map›Paper›PMID 37307040›Full record

ArticleJMIR research protocols2023

New Web-Based System for Recording Public Health Nursing Practices and Determining Best Practices: Protocol of an Exploratory Sequential Design.

Kyoko Yoshioka-Maeda, Hiroshige Matsumoto, Chikako Honda, Misa Shiomi, Kazuya Taira, Noriko Hosoya, Miki Sato, Yuka Sumikawa, Hitoshi Fujii, Takahiro Miura

Abstract read
In one paragraph

Article in JMIR research protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Review
  3. 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.

Kyoko Yoshioka-Maeda *Department of Community Health Nursing, Division of Health Sciences & Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0003-0344-0143
Hiroshige MatsumotoDepartment of Community Health Nursing, Division of Health Sciences & Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0003-2150-6484
Chikako HondaDepartment of Community Health Nursing, Division of Health Sciences & Nursing, Graduate School of Medicine, The University of Tokyo, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0001-8451-9990
Misa ShiomiDepartment of Innovative Public Health Nursing, Graduate School of Medicine, Kyoto University, Kyoto City, Japan.ORCID https://orcid.org/0000-0002-0023-1867
Kazuya TairaDepartment of Innovative Public Health Nursing, Graduate School of Medicine, Kyoto University, Kyoto City, Japan.ORCID https://orcid.org/0000-0002-1560-5454
Noriko HosoyaDepartment of Nursing, Faculty of Healthcare Sciences, Chiba Prefectural University of Health Sciences, Chiba City, Japan.ORCID https://orcid.org/0000-0003-2409-3726
Miki SatoDepartment of Health Promotion, National Institute of Public Health, Wako City, Japan.ORCID https://orcid.org/0009-0000-3619-7130
Yuka SumikawaDepartment of Gerontological Homecare & Long-term Care Nursing, Division of Health Sciences & Nursing, The University of Tokyo, Bunkyo-ku, Japan.ORCID https://orcid.org/0000-0003-3852-251X
Hitoshi FujiiDepartment of Medical Statistics, School of Nursing, Mejiro University, Saitama City, Japan.ORCID https://orcid.org/0000-0001-7124-940X
Takahiro MiuraHuman Augmentation Research Center, National Institute of Advanced Industrial Science and Technology, Kashiwa City, Japan.ORCID https://orcid.org/0000-0002-7748-9567

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigitalization and information and communication technology (ICT) promote effective, efficient individual and community care. Clinical terminology or taxonomy and its framework visualize individual patients' and nursing interventions' classifications to improve their outcomes and care quality. Public health nurses (PHNs) provide lifelong individual care and community-based activities while developing projects to promote community health. The linkage between these practices and clinical assessment remains tacit. Owing to Japan's lagging digitalization, supervisory PHNs face difficulties in monitoring each department's activities and staff members' performances and competencies. Randomly selected prefectural or municipal PHNs collect data on daily activities and required hours every 3 years. No study has adopted these data for public health nursing care management. PHNs need ICTs to manage their work and improve care quality; it may help identify health needs and suggest best public health nursing practices.

objectiveWe aim to develop and validate an electronic recording and management system for evaluating different public health nursing practice needs, including individual care, community-based activities, and project development, and for determining their best practices.

methodsWe used a 2-phase exploratory sequential design (in Japan) comprising 2 phases. In phase 1, we developed the system's architectural framework and a hypothetical algorithm to determine the need for practice review through a literature review and a panel discussion. We designed a cloud-based practice recording system, including a daily record system and a termly review system. The panels included 3 supervisors who were prior PHNs at the prefectural or municipal government, and 1 was the executive director of the Japanese Nursing Association. The panels agreed that the draft architectural framework and hypothetical algorithm were reasonable. The system was not linked to electronic nursing records to protect patient privacy. Phase 2 validated each item through interviews with supervisory PHNs using a web-based meeting system. A nationwide survey was distributed to supervisory and midcareer PHNs across local governments.

resultsThis study was funded in March 2022 and approved by all ethics review boards from July to September and November 2022. Data collection was completed in January 2023. Five PHNs participated in the interviews. In the nationwide survey, responses were obtained from 177 local governments of supervisory PHNs and 196 midcareer ones.

conclusionsThis study will reveal PHNs' tacit knowledge about their practices, assess needs for different approaches, and determine best practices. Additionally, this study will promote ICT-based practices in public health nursing. The system will enable PHNs to record their daily activities and share them with their supervisors to reflect on and improve their performance, and the quality of care to promote health equity in community settings. The system will support supervisory PHNs in creating performance benchmarks for their staff and departments to promote evidence-based human resource development and management.

trial registrationUMIN-ICDR UMIN000049411; https://tinyurl.com/yfvxscfm. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/45342.

Indexed as

community-based activitydigitalizationeHealthelectronic recordevidence-based practiceindividual careinformation and communication technologyprogram developmentpublic health nursingquality assurance

Identifiers

PMID37307040
PMCPMC10337385

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.