Evidence map›Paper›PMID 40440565›Full record

ArticleJMIR nursing2025

Nursing and Continuing Care Management Work Plan for People Living With COVID-19: Case Study of the Nakhon Pathom Province.

Hathaichanok Buajaroen, Darin Photangtham, Wariya Chankham, Paisan Simalaotao, Ubonrat Sirisukpoca, Monchai Kongkamsook, Pantip Timtab, Tapanee Suasangei

Abstract read
In one paragraph

Article in JMIR nursing, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Hathaichanok BuajaroenCommunity Nursing, Faculty of Nursing, Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand.ORCID 0009-0007-2835-7713
Darin PhotangthamGeneral Management Program, Faculty of Management Sciences, Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand.ORCID 0009-0005-6578-2167
Wariya ChankhamPsychiatric and Mental Health Nursing, Faculty of Nursing, Nakhon Pathom Rajabhat University, 85 Maliaman Road, Nakhon Pathom, 73000, Thailand, 66 896611549.ORCID 0009-0007-2718-8399
Paisan SimalaotaoDepartment of Computer Science, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand.ORCID 0009-0005-7481-6090
Ubonrat SirisukpocaDepartment of Computer Science, Faculty of Science and Technology, Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand.ORCID 0009-0006-7938-487X
Monchai KongkamsookNa-Sang, Subdistrict Health Promotion Hospital Health, Nakhon Pathom, Thailand.ORCID 0009-0007-5977-5264
Pantip TimtabNa-Sang, Subdistrict Health Promotion Hospital Health, Nakhon Pathom, Thailand.ORCID 0009-0006-0897-1751
Tapanee Suasangei6, Faculty of Nursing, Nakhon Pathom Rajabhat University, Nakhon Pathom, Thailand.ORCID 0009-0002-6335-6277

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with post-COVID-19 continue to experience lingering physical and psychological symptoms, requiring coordinated and continuous care. Addressing these needs is essential, especially in resource-limited settings. Objective: The objectives of this paper are to study the issues and needs, as well as the nursing and continuous care systems for residents living with COVID-19, to design and develop a database system, develop continuous care guidelines, and evaluate the effectiveness of the database system for continuous monitoring and care for residents living with COVID-19 in Nakhon Pathom Province, Thailand. Methods: Participatory action research was used to engage stakeholders and guide the development process. Results: A total of 375 patients and family members affected by post-COVID-19 symptoms reported that symptoms persisted for approximately 6 months, with common symptoms including persistent cough and easy fatigue. These patients experienced reduced access to health care services, relying mainly on symptomatic treatment at local facilities and using telehealth nursing systems. They expressed a need for continuous care support from 50 professional nurses and village health volunteers. As a result, health care guidelines for post-COVID recovery were developed, comprising 5 core components: (1) self-care through digital information retrieval, (2) care via telehealth nursing systems, (3) physical health care services postrecovery, (4) mental health services postrecovery, and (5) continuous care for referral in case of postrecovery incidents. These guidelines were used to design a database system for continuous monitoring and care, which was evaluated as highly effective (mean 4.51, SD 0.59). Conclusions: This research highlights the critical need for a proactive and comprehensive approach to managing post-COVID-19 care in Nakhon Pathom Province. By developing and implementing a database system for continuous monitoring and care, along with clear guidelines, the study effectively addresses the ongoing needs of individuals recovering from COVID-19. The integration of technology, along with continuous care provided by professional nurses and village health volunteers, has been shown to be highly effective in improving the quality of care. The findings suggest that adopting these strategies, along with implementing supportive policies on data management and communication systems focused on home visits, will significantly enhance health service management and better prepare the region for future public health challenges.

Indexed as

Continuity of Patient CareCOVID-19AdultAgedFemaleHumansMaleMiddle AgedSARS-CoV-2TelemedicineThailandAsiaAsiancarecare managementcase studycontinuous carecontinuous monitoringCoronaviruscoughCOVID-19database systemdesigndevelopfatigueneedsnursenursingparticipatory researchpost-COVID-19 symptomsquality of carerecoveryThailand

Identifiers

PMID40440565
PMCPMC12140371

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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.