ArticleCureus2026
Reducing Pending Glycated Hemoglobin (HbA1c) Patient Reports in a Tertiary Care Centre in North India: A Quality Improvement Project.
Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction In early August 2023, several outpatients at All India Institute of Medical Sciences (AIIMS), Raebareli, India, complained that their HbA1c reports were not ready as promised. Some required to give a repeat sample, which caused patient dissatisfaction and increased laboratory workload. The aim of this quality improvement (QI) project was to reduce pending glycated haemoglobin (HbA1c) reports by improving laboratory and sample collection workflows within a 12-week period. Methods A team was formed to fix the problem. Process mapping, fishbone analysis and two successive Plan-Do-Study-Act (PDSA) cycles were undertaken over 12 weeks. The first PDSA cycle was in the laboratory, and the second was in the sample collection area. Data was extracted in Microsoft Excel spreadsheet. Data was analysed in Microsoft Excel and GraphPad. Fisher's Exact Test was used to determine if the improvement from this QI project was statistically significant. Results Process mapping and fishbone analysis revealed that the barcode scanner of the HbA1c analyser was non-functional, hence the technician manually entered the results in a laboratory register and afterwards entered those in the Hospital Information Management System (HIMS). In PDSA cycle 1, the team noticed that the manual register contained only laboratory ID (unique laboratory identification number) and HbA1c values. The team instructed the laboratory technician to include the patient's registration number in the manual register, besides the laboratory ID and test value. In PDSA cycle 2, the team observed that after raising a test request, a few patients had departed the collection area without giving a sample. The team advised the nursing officers in the sample collection centre to prepare a list of patients (with their hospital registration number) who had raised the HbA1c test requests, but departed without giving a blood sample, and send this list daily to the laboratory technician after sample collection hours. These interventions reduced the pending HbA1c reports from 1.69% to 0.19% over 12 weeks (p=0.016). Conclusion Reduction in pending reports decreased the number of patient complaints and improved the laboratory workflow process. Continuous assessment and documentation of pending work, clarity on tasks needed, and regular staff meetings were essential for this success.
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.