ArticleDiabetes therapy : research, treatment and education of diabetes and related disorders2021
Assessment of Patient Satisfaction with On-Site Point-of-Care Hemoglobin A1c Testing: An Observational Study.
Article in Diabetes therapy : research, treatment and education of diabetes and related disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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.
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.
Who cites it
10 citing papers in PubMed, 16 citations in OpenAlex.
- HbA1c measurement using capillary blood in epidemiological studies: a scoping review of technologies and approaches.BMC endocrine disorders · 2026Article
- The Role of Pharmacies in Providing Point-of-Care Services in the Era of Digital Health and Artificial Intelligence: An Updated Review of Technologies, Regulation and Socioeconomic Considerations.Healthcare (Basel, Switzerland) · 2026Review
- Beyond diagnostic test performance: two content-validated questionnaires assessing patient and clinician satisfaction with diagnostic tests.Journal of patient-reported outcomes · 2025Article
- Assessment of patient satisfaction with the hemodialysis experience using an integrated decision-making approach with rough numbers.Scientific reports · 2025Article
- Community pharmacy-led point-of-care testing (POCT): expanding roles and strengthening health systems in low- and middle-income countries (LMICs).Journal of pharmaceutical policy and practice · 2025Article
- Clinical Need for Point-of-Care Testing for Diabetes in Clinical and Laboratory Improvement Amendments-Waived Settings.Clinical diabetes : a publication of the American Diabetes Association · 2025Article
- Use of Flash Glucose Monitoring and Glycemic Control in Patients with Type 2 Diabetes Mellitus Not Treated with an Intensive Insulin Regimen: 1-Year Real-Life Retrospective Cohort Study.Advances in therapy · 2023Article
- Facilitators and barriers of the implementation of point-of-care devices for cardiometabolic diseases: a scoping review.BMC health services research · 2023Article
- Article
- Level of Agreement and Correlation Between the Estimated Hemoglobin A1c Results Derived by Continuous or Conventional Glucose Monitoring Systems Compared with the Point-of-Care or Laboratory-Based Measurements: An Observational Study.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionPoor glycemic control is a serious challenge in successful diabetes management. Given the low adherence and compliance with HbA1c testing frequency and the corresponding delay in the appropriate medication adjustment, point-of-care testing (POCT) for HbA1c provides an opportunity for better control of diabetes and higher patient satisfaction. The data with this regard are limited in Saudi Arabia. Therefore, we aimed to assess the level of patient satisfaction associated with the POCT service implementation for HbA1c and evaluate the differences between the number of requested and conducted HbA1c tests before and after POCT implementation and its effect on glycemic control in Saudi clinical practice.
methodsWe conducted a single-center ambispective descriptive cohort study in Riyadh, Saudi Arabia. This study had two phases: the retrospective phase (January 2017 to December 2017) and the prospective phase (January 2018 to December 2018). Patient satisfaction was assessed using the patient satisfaction questionnaire short form (PSQ-18) and on-site HbA1c point-of-care testing (HbA1c-POCT) satisfaction questionnaire.
resultsThis study included 75 patients with diabetes (37% type 1, 63% type 2) with a mean age of 44.35 (± 17.97) years. The adherence to physician recommendations for HbA1c testing frequency increased from 24% to 85% (before and after POCT implementation, respectively). High levels of satisfaction across seven dimensions of PSQ-18 (77-88%) were reported towards the provided healthcare service after POCT implementation. Furthermore, a high level of agreement on the statements of the on-site HbA1c-POCT satisfaction questionnaire was also observed. Finally, the mean HbA1c level has significantly improved after POCT implementation compared to the traditional HbA1c laboratory testing before POCT implementation [8.34 ± 0.67 and 8.06 ± 0.62, respectively, p < 0.001).
conclusionHbA1c testing at POCT improved adherence to recommendations for HbA1c testing frequency for better glycemic control and higher patient satisfaction. POCT reduces turnaround time, improves glycemic control, and facilitates the decision-making process. HbA1c measurement with POC devices is recommended to be implemented in diabetes treatment centers. All of the described benefits of POCT come together to make HbA1c testing the most common procedure for diabetes management at the point of care.
Indexed as
Identifiers
What OpenQuestion holds
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.