Evidence map›Paper›PMID 35793137›Full record

ArticleJMIR formative research2022

Optimization of the Chronic Kidney Disease-Peritoneal Dialysis App to Improve Care for Patients on Peritoneal Dialysis in Northeast Thailand: User-Centered Design Study.

Eakalak Lukkanalikitkul, Sawinee Kongpetch, Wijittra Chotmongkol, Michael G Morley, Sirirat Anutrakulchai, Chavis Srichan, Bandit Thinkhamrop, Theenatchar Chunghom, Pongsai Wiangnon, Wilaiphorn Thinkhamrop and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.9field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

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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

11 authors at 3 institutions in 2 countries.

Eakalak LukkanalikitkulCenter of Excellence in Kidney Diseases, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-3721-5959
Sawinee KongpetchCenter of Excellence in Kidney Diseases, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-9923-2682
Wijittra ChotmongkolCenter of Excellence in Kidney Diseases, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-9880-3295
Michael G MorleyOphthalmic Consultants of Boston, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0001-6373-7008
Sirirat AnutrakulchaiDivision of Nephrology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-4186-5655
Chavis SrichanDepartment of Computer Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-4772-3543
Bandit ThinkhamropData Management and Statistical Analysis Center, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0002-6486-1948
Theenatchar ChunghomKidney Unit, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0001-5578-930X
Pongsai WiangnonKidney Unit, Srinagarind Hospital, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0003-1182-9415
Wilaiphorn ThinkhamropData Management and Statistical Analysis Center, Faculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.ORCID https://orcid.org/0000-0003-2202-804X
Katharine E MorleyMassachusetts General Hospital Center for Global Health, Harvard Medical School, Boston, MA, United States.ORCID https://orcid.org/0000-0003-2286-2253
Khon Kaen University · THMassachusetts General Hospital · USOphthalmic Consultants of Boston · US

Funding

Improving Care for Peritoneal Dialysis Patients with the "CKD-PD" appR21TW010963 · FIC · MASSACHUSETTS GENERAL HOSPITAL · PI MORLEY, KATHARINE ELISE · 2019 to 2020
$374k
FIC NIH HHS R21 TW010963
6 · The paper itself

Abstract

backgroundThe prevalence of peritoneal dialysis (PD) in Thailand is increasing rapidly in part because of Thailand's Peritoneal Dialysis First policy. PD is a home-based renal replacement therapy in which patients with chronic kidney disease perform up to 4 exchanges of dialysate fluid per day in the peritoneal cavity. Overhydration is one of the most common complications in patients on PD and is associated with increased morbidity and mortality. To monitor hydration status, patients collect hydration metrics, including body weight, blood pressure, urine output, and ultrafiltration volume, from each dialysis cycle and enter this information into a PD logbook. This information is reviewed bimonthly at PD clinic appointments. The chronic kidney disease-PD (CKD-PD) app with near-field communication (NFC) and optical character recognition (OCR) was developed to automate hydration metric collection. The information was displayed in the app for self-monitoring and uploaded to a database for real-time monitoring by the PD clinic staff. Early detection and treatment of overhydration could potentially reduce the morbidity and mortality related to overhydration.

objectiveThis study aims to identify usability issues and technology adoption barriers for the CKD-PD app with NFC and OCR and a monitoring system and to use this information to make rapid cycle improvements.

methodsA multidisciplinary team of nephrologists, PD clinic nurses, computer programmers, and engineers trained and observed 2 groups of 5 participants in the use of the CKD-PD app with NFC and OCR and a monitoring system. The participants were observed using technology in their homes in 3 phases. The data collected included the Unified Theory of Acceptance and Use of Technology questionnaire, think-aloud observation, user ratings, completion of hydration metrics, and upload of hydration metrics to the central database. These results were used by the team between phases to improve the functionality and usefulness of the app.

resultsThe CKD-PD app with NFC and OCR and a monitoring system underwent 3 rapid improvement cycles. Issues were identified regarding the usability of the NFC and OCR data collection, app stability, user interface, hydration metric calculation, and display. NFC and OCR improved hydration metric capture; however, issues remained with their usability. App stability and user interface issues were corrected, and hydration metrics were successfully uploaded by the end of phase 3. Participants' scores on technology adoption decreased but were still high, and there was enthusiasm for the self-monitoring and clinical communication features.

conclusionsOur rapid cycle process improvement methodology identified and resolved key barriers and usability issues for the CKD-PD app with NFC and OCR and a monitoring system. We believe that this methodology can be accomplished with limited training in data collection, statistical analysis, and funding.

Indexed as

barriercomputer programdialysishome monitoringinterfaceinternal medicinekidneymethodologymetric capturemHealthmobile healthmobile phonemonitornear-field communicationnephrologistnephrologyperitonealperitoneumprocess improvementquality improvementrapid cycle improvementrapid cycle process improvement methodologyrenalUnified Theory of Acceptance and Use of TechnologyusabilityUTAUT

Identifiers

PMID35793137
PMCPMC9301552
OpenAlexW4283837187

What OpenQuestion holds

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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.