| Literature DB >> 32764027 |
Abha Mehndiratta1, Satish Chandra Mishra2, Prashant Bhandarkar3, Kunal Chhatbar3, Francoise Cluzeau1, Team PrimaryCareDoctors4.
Abstract
The majority of foot amputations are preventable in people with diabetes. Guidelines recommend that people with diabetes should receive a foot examination for risk assessment, at least annually. In an audit at a primary health centre (PHC) in Mumbai, India, no patient with diabetes was offered preventive foot assessment in preceding 12 months. Problem analysis identified a lack of clinic policy, training and equipment for foot assessment. There was no standardised referral pathway for patients identified with foot at risk of diabetes complications. Furthermore, limited data review, high patient volumes and little time available with healthcare providers were important constraints. A quality improvement project was carried out at the PHC from January to September 2017. The project aimed at increasing compliance to standardised foot assessment in patients with diabetes presenting to the PHC from a baseline of 0% to 100% over 6 months. This would help identify patients having a foot at risk of complications due to diabetes. The Quality Standard on foot assessment was adopted from the Ministry of Health and Family Welfare Diabetic Foot Guideline. The electronic medical record (EMR) was standardised, health providers were trained, PHC processes and referral pathways were redesigned. Plan-Do-Study-Act was used to address barriers with weekly data review. 88.2% (848) of patients with diabetes visiting the PHC during the study period received a foot examination. Out of these, 11% (95) were identified to have a foot at risk and referred to a specialist foot centre. 57% of referred patients followed with specialised foot protection services. Training of healthcare providers, standardisation of processes and regular data feedback can improve diabetic foot care. Integrating quality indicators in the EMR helps monitor compliance. The inability to use doctor's time efficiently was the biggest challenge and sustaining the change will require organisational changes with suitable task shifting. © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY. Published by BMJ.Entities:
Keywords: diabetes mellitus; electronic health records; healthcare quality improvement; implementation science; primary care
Mesh:
Year: 2020 PMID: 32764027 PMCID: PMC7412605 DOI: 10.1136/bmjoq-2019-000893
Source DB: PubMed Journal: BMJ Open Qual ISSN: 2399-6641
Figure 1Problem analysis by Ishikawa diagram. OPD, Out Patient Department.
Figure 2Redesigned care pathway for diabetic foot care. PAD, peripheral arterial disease; IWGDF, International Working Group on Diabetic Foot.
Risk classification system and preventive assessment frequency2 10
| Category | Characteristic | Follow-up frequency |
| 0 | No peripheral neuropathy | Once in a year |
| 1 | Peripheral neuropathy | Once in every 6 months |
| 2 | Peripheral neuropathy with peripheral artery disease and/or a foot deformity | Once in every 3–6 months |
| 3 | Peripheral neuropathy and history of a foot ulcer or lower-extremity amputation | Once in every 1–3 months |
Result of foot examination in patients with diabetes visiting East Deonar Dispensary
| Clinic population | Total no. of patients with diabetes | No. (%) of patients with diabetes who visited East Deonar Dispensary at least once during the study period | No. (%) of patients with diabetes who had their feet examined once during the study period | No. (%) of patients assigned risk categories after foot examination | No. (%) of patients referred to specialty diabetes foot clinic | No. of patients (%) followed at specialty diabetes foot clinic | |||
| RC0 | RC1 | RC2 | RC3 | ||||||
| Total, 13 646 | 1087 (7.9%) | 961 (88.4%) | 848 (88.2%) | 753 (89%) | 85 (10%) | 5 (0.6%) | 5 (0.6%) | 95 (100%) | 54 (57%) |
| Baseline population on 31 March 2017–2010, 502 | 888 (8.5%) | 826 (93.%) | 736 (89.1%) | 650 (88%) | 77 (10.5%) | 5 (0.6%) | 4 (0.3%) | 86 (100%) | 50 (58%) |
| Immigrant population | 72 (4.4%) | 14 (19.4%) | 14 (100%) | 14 (100%) | 0 | 0 | 0 | 0 | 0 |
| Emigrant population after 31 March–30 September 2017, | 127 (8.4%) | 98 (77.2%) | 98 (100%) | 89 (91%) | 8 (8%) | 0 | 1 (1%) | 9 (100%) | 9 (100%) |