Trial reportBMC nephrology2019
Improving proteinuria screening with mailed smartphone urinalysis testing in previously unscreened patients with hypertension: a randomized controlled trial.
Trial report in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
Improving Albuminuria Screening Compliance Using a Smartphone Urinalysis Kit in the Hypertensive Non-Diabetic Population
The Effect of Self-Efficacy Promoting Program Using Computer Game on Proteinuria in Thai Children With Nephrotic Syndrome
Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.
- Pooled it
- Systematic evaluation of patient-reported outcomes in clinical trials of digital health in cardiovascular diseases.NPJ digital medicine · 2025Article
- Development and validation of an LC-MSMS method to quantify creatinine from dried blood spots.Journal of mass spectrometry and advances in the clinical lab · 2024Article
- Dipping at home: is it better, easier, and more convenient? A feasibility and acceptability study of a novel home urinalysis using a smartphone application.Pediatric nephrology (Berlin, Germany) · 2023Article
- Pre-screening to guide coronary artery calcium scoring for early identification of high-risk individuals in the general population.European heart journal. Cardiovascular Imaging · 2022Article
- Remote digital urinalysis with smartphone technology as part of remote management of glomerular disease during the SARS-CoV-2 virus pandemic: single-centre experience in 25 patients.Clinical kidney journal · 2022Article
- Digital Health Interventions to Enhance Prevention in Primary Care: Scoping Review.JMIR medical informatics · 2022Article
- Affordable mobile microfluidic diagnostics: minimum requirements for smartphones and digital imaging for colorimetric and fluorometric anti-dengue and anti-SARS-CoV-2 antibody detection.Wellcome open research · 2021Article
- CKD Management in Primary Care: Supporting Systems Change.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2020Article
- Developing a Mobile App (iGAM) to Promote Gingival Health by Professional Monitoring of Dental Selfies: User-Centered Design Approach.JMIR mHealth and uHealth · 2020Article
- Hospitalization Risk among Older Adults with Chronic Kidney Disease.American journal of nephrology · 2019Article
- Prevalence and knowledge of kidney disease risk factors among Nigerians resident in Lagos State Metropolitan District, South West Nigeria.Annals of African medicineArticle
- Closing Gaps in Chronic Kidney Disease Detection: Evaluating At-Home Targeted Testing in a Safety-Net Population.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundProteinuria screening is recommended for patients with hypertension to screen for kidney disease and identify those at elevated risk for cardiovascular disease. However, screening rates among hypertensive patients are low. Home testing strategies may be useful in improving proteinuria screening adherence.
methodsWe conducted an individual-level, randomized trial at 55 primary care clinic sites in the Geisinger Health System to evaluate the effectiveness of a strategy using home smartphone urinalysis test (Dip.io) to complete proteinuria screening in previously unscreened non-diabetic patient portal users with hypertension. All patients received an educational letter and a standing urinalysis lab order, and then were randomized to control (usual care) or intervention. Intervention arm participants were invited to complete proteinuria screening with a mailed home smartphone urinalysis test. Co-primary outcomes were completion of proteinuria screening and number of albuminuria cases (albumin/creatinine ratio [ACR] ≥ 30 mg/g or protein/creatinine ratio ≥ 150 mg/g) at the end of 3 months. We also evaluated patient satisfaction with the home test, and compliance with recommendations for patients with newly detected albuminuria.
resultsA total of 999 patients were randomized to intervention or control. Out of 499 patients assigned to the intervention arm, 253 were reached by phone, and 69/97 (71.1%) consented patients completed the home test. Overall, the intervention increased proteinuria screening completion (28.9% vs. 18.0%; p < 0.001) with no effect on the number of albuminuria cases (4 vs. 4) although only 6/57 (10.5%) patients with trace or 1+ urine dipstick protein had a follow-up quantitative test. Among the 55 patients who completed a survey after the home test, 89% preferred testing at home rather than the physician's office.
conclusionsA strategy using a home urinalysis smartphone test increased proteinuria screening rates in previously unscreened patients with hypertension and may be useful in increasing rates of proteinuria screening compliance. Future studies should evaluate use of home testing kits to screen for and confirm albuminuria, and determine whether improving early detection of kidney disease can improve future kidney health.
trial registrationClinical Trial Registry: NCT03470701 (First posted 3/20/2018) https://clinicaltrials.gov/ct2/show/NCT03470701 . This study was retrospectively registered.
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Registered trials
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.