Impact of a Digital Leakage Notification System on Leakage, Quality of Life, Healthcare Resource Utilisation, and Work Productivity: Interim Results from a Longitudinal Real-World Study in the UK
Abstract
1. Introduction
2. Methods
2.1. Study Design
2.2. Enrolment of Participants
2.3. Patient Demographics and Endpoints
- The primary endpoint of the study was the Emotional Impact domain score of the validated Ostomy Leak Impact (OLI) tool [12]. The two other domains of the tool (the Usual and Social Activities domain and the Coping and in Control domain) were included as explorative endpoints. The entire tool consists of 22 questions, which summarize the burden of stoma leakage. Each domain sums into a score ranging from 0 to 100, where higher scores reflect better leakage-related QoL (i.e., lower impact of stoma-leakages on different aspects of life).
- Participants reported on the number of leakages outside the baseplate (e.g., onto clothes or bed sheets) within the preceding 2 weeks.
- Recall of the number of baseplate changes (or entire system for 1-pc users) in the preceding 14 days.
- Recall of the number of baseplate changes (or entire system for 1-pc users) due to leakage worry (not due to an actual leakage) in the preceding 14 days (Secondary endpoint).
- Recall of the use of 15 different supporting products in the preceding 14 days.
- Participants reported on their usage of the DLNS with the preceding 10 baseplate changes.
- Time spent with different types of HCPs in the preceding 3 months was assessed with users reporting on the number of visits with the HCP and the duration of each visit. Participants could also provide free-text options, which are not presented in this report. Total time spent with HCPs (excluding Coloplast interactions) is estimated.
- The Work Productivity and Activity Impairment (WPAI) questionnaire was used to assess the impact of the patients’ health problems on their ability to work and to perform regular activities [13]. Health problems were defined as any physical or emotional symptom, and not specifically related to their stoma, as the questionnaire has not been validated in this patient population. The WPAI questionnaire includes four metrics, with each metric score ranging from 0 to 100. Scores reflect higher implications of health problems on the ability to work:
- ○
- WPAI 1: Absenteeism (the percentage of work time missed due to health problems).
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- WPAI 2: Presenteeism (the percentage of impairment while working due to a health problem).
- ○
- WPAI 3: Productivity loss rate (the percentage of overall work impairment due to health problems, considering both absenteeism and presenteeism).
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- WPAI 4: Percent activity impairment due to health problem (the percentage of daily activities affected by health problems).
2.4. Statistics
2.5. Ethical Consideration
2.6. Role of the Funding Source
3. Results
3.1. Demographics of Study Participants
3.2. Leakages Outside the Baseplate
3.3. Leakage-Related Quality of Life
3.4. Use of Baseplates
3.5. Use of Supporting Products
3.6. Interactions with HCPs
3.7. Work Productivity and Activity Impairment
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| ITT Population | |
|---|---|
| Age in years; Mean ± SD (range); (n = 98) | 50.9 ± 15.8 (19; 84) |
| Sex; females/males; n (%); (n = 98) | 60 (61.2%)/38 (38.8%) |
| Time since stoma formation in years; Mean ± SD (range); n = 97 | 7.0 ± 12.8 (0; 74) |
| New patients discharged (<1 year with a stoma); n (%) | 29 (29.9%) |
| Experienced users (≥1 year with a stoma); n (%) | 68 (70.1%) |
| Reason for stoma surgery; n (%); (n = 97) | |
| Crohn’s disease | 15 (15.5%) |
| Ulcerative colitis | 26 (26.8%) |
| Cancer | 25 (25.8%) |
| Other | 31 (32.0%) |
| Type of stoma; ileostomy/colostomy; n (%); (n = 97) | 83 (85.6%)/14 (14.4%) |
| Ostomy solution brand; n (%); (n = 97) | |
| Coloplast | 70 (72.2%) |
| Another manufacturer | 27 (27.8%) |
| Ostomy solution; n (%); (n = 97) | |
| 1-piece | 79 (81.4%) |
| 2-piece | 14 (14.4%) |
| Do not know | 4 (4.1%) |
| Baseplate type; n (%); (n = 97) | |
| Flat | 14 (14.4%) |
| Convex (soft) | 46 (47.4%) |
| Convex (deep) | 24 (24.7%) |
| Concave | 8 (8.2%) |
| Do not know | 5 (5.2%) |
| Baseline LS Mean (95% CI) | 3 Months LS Mean (95% CI) | 6 Months LS Mean (95% CI) | Effect Size (Baseline vs. 6 Months) Percent Reduction (95% CI) | p-Value | |
|---|---|---|---|---|---|
| Baseplate changes | 12.46 (11.24; 13.82) | 10.35 (9.22; 11.62) | 10.70 (9.44; 12.13) | 14% (6%; 22%) | p = 0.002 |
| Unplanned baseplate changes | 8.07 (6.90; 9.44) | 3.98 (3.08; 5.15) | 4.26 (3.35; 5.42) | 47% (33%; 59%) | p < 0.001 |
| Rings/seals | 8.17 (6.65; 10.03) | 6.79 (5.46; 8.45) | 6.83 (5.62; 8.29) | 16% (−0%; 30%) | p = 0.052 |
| Paste (tubes) | 0.89 (0.46; 1.72) | 0.37 (0.19; 0.76) | 0.35 (0.17; 0.72) | 60% (3%; 84%) | p = 0.044 |
| Paste (strips) | 0.82 (0.33; 2.05) | 0.59 (0.22; 1.60) | 0.35 (0.09; 1.34) | 58% (−112%; 92%) | p = 0.295 |
| Adhesive tape (pieces) | 8.82 (6.92; 11.24) | 5.53 (4.03; 7.59) | 6.08 (4.51; 8.20) | 31% (14%; 45%) | p = 0.001 |
| Adhesive remover-spray (bottles) | 3.29 (2.56; 4.22) | 2.61 (2.08; 3.29) | 2.91 (2.18; 3.89) | 11% (−23%; 36%) | p = 0.468 |
| Adhesive remover-wipes (Items) | 4.65 (3.33; 6.50) | 3.09 (2.17; 4.41) | 2.89 (2.01; 4.14) | 38% (10%; 57%) | p = 0.013 |
| Skin cleanser wipes (items) | 11.39 (9.22; 14.07) | 9.28 (7.48; 11.53) | 7.60 (5.82; 9.94) | 33% (14%; 48%) | p = 0.001 |
| Skin barrier spray (bottles) | 0.79 (0.43; 1.45) | 0.53 (0.30; 0.96) | 0.60 (0.37; 1.00) | 24% (−42%; 59%) | p = 0.398 |
| Skin barrier wipe (items) | 4.26 (3.00; 6.04) | 2.75 (1.87; 4.05) | 3.68 (2.47; 5.50) | 14% (−22%; 39%) | p = 0.406 |
| Skin barrier cream (bottles) | 0.31 (0.11; 0.87) | 0.11 (0.05; 0.25) | 0.11 (0.04; 0.29) | 64% (−26%; 90%) | p = 0.110 |
| Skin barrier sheets (items) | 1.15 (0.49; 2.70) | 0.93 (0.35; 2.45) | 0.69 (0.24; 1.99) | 40% (−62%; 78%) | p = 0.314 |
| Belts | 1.53 (0.96; 2.46) | 1.34 (0.93; 1.93) | 1.71 (1.14; 2.57) | −12% (Increase) (−68%; 26%) | p = 0.595 |
| Powder (bottles) | 1.21 (0.79; 1.87) | 0.88 (0.58; 1.33) | 0.84 (0.50; 1.41) | 31% (−0%; 53%) | p = 0.051 |
| Deodorant (sachets) | 1.86 (0.94; 3.69) | 2.16 (1.19; 3.94) | 2.45 (1.32; 4.54) | −31% (Increase) (−87%; 8%) | p = 0.128 |
| Deodorant (bottles) | 0.62 (0.32; 1.21) | 0.27 (0.13; 0.57) | 0.24 (0.14; 0.41) | 61% (14%; 82%) | p = 0.020 |
| Baseline LS Mean (95% CI) | 3 Months LS Mean (95% CI) | 6 Months LS Mean (95% CI) | Effect Size (Baseline vs. 6 Months) LS Mean Difference (95% CI) | p-Value | |
|---|---|---|---|---|---|
| SCN in a clinic | 73.7 (53.9; 93.5) | 36.1 (23.7; 48.5) | 17.1 (9.6; 24.7) | −56.5 (−76.5; −36.6) | p < 0.001 |
| SCN at home | 17.1 (7.9; 26.3) | 6.1 (2.1; 10.0) | 1.6 (−0.1; 3.4) | −15.4 (−24.4; −6.4) | p = 0.001 |
| Nurse (non-face-to-face, e.g., phone call) 1 | 33.3 (21.4; 45.2) | 12.6 (5.9; 19.3) | 12.8 (4.0; 21.6) | −20.5 (−35.4; −5.6) | p = 0.008 |
| General practitioner (in person) 1 | 22.4 (10.0; 34.8) | 11.5 (6.3; 16.7) | 11.0 (5.4; 16.6) | −11.4 (−23.9; 1.1) | p = 0.072 |
| General practitioner (non-face-to-face, e.g., phone call) 1 | 12.3 (6.9; 17.8) | 6.8 (2.7; 11.0) | 4.6 (1.8; 7.5) | −7.7 (−13.6; −1.8) | p = 0.011 |
| Dermatologist 1 | 2.1 (−0.6; 4.9) | 0.9 (−0.5; 2.3) | 1.2 (−0.2; 2.7) | −0.9 (−4.1; 2.3) | p = 0.571 |
| Gastroenterologist 1 | 13.8 (5.7; 21.8) | 9.8 (5.0; 14.6) | 10.7 (5.3; 16.1) | −3.1 (−8.7; 2.5) | p = 0.281 |
| Stoma surgeon 1 | 20.9 (9.7; 32.2) | 7.6 (4.4; 10.7) | 10.0 (5.4; 14.5) | −11.0 (−22.5; 0.6) | p = 0.063 |
| Home care nurse 1,2 | 3.1 | 0.0 | 0.4 | - | - |
| Coloplast stoma support (Charter and/or Heylo™ Support Service) | 33.4 (24.9; 41.9) | 29.2 (18.9; 39.6) | 9.7 (5.9; 13.5) | −23.7 (−33.3; −14.2) | p < 0.001 |
| Total time spent with healthcare professionals (excluding Coloplast interactions) | 199.2 (150.2; 248.2) | 91.5 (70.6; 112.4) | 69.3 (50.4; 88.1) | −129.9 (−176.8; −83.0) | p < 0.001 |
| Baseline LS Mean (95% CI) | 3 Months LS Mean (95% CI) | 6 Months LS Mean (95% CI) | Effect Size (Baseline vs. 6 Months) LS Mean Difference (95% CI) | p-Value | |
|---|---|---|---|---|---|
| Proportion of participants being employed | 51 out of 100 (51.0%) | 46 out of 95 (48.4%) | 37 out of 84 (44.0%) | - | - |
| WPAI 1: Absenteeism | 30.7% (19.2%; 42.3%) | 19.8% (9.6%; 30.1%) | 15.8% (5.8%; 25.8%) | −14.9% (−28.8%; −1.0%) | p = 0.036 |
| WPAI 2: Presenteeism | 53.4% (43.7%; 63.1%) | 40.8% (31.2%; 50.4%) | 37.7% (26.9%; 48.5%) | −15.7% (−26.5%; −4.9%) | p = 0.006 |
| WPAI 3: Productivity loss rate | 59.5% (49.7%; 69.3%) | 47.8% (37.8%; 57.9%) | 41.9% (30.6%; 53.2%) | −17.6% (−28.8%; −6.5%) | p = 0.003 |
| WPAI 4: Activity impairment | 61.8% (55.8%; 67.8%) | 48.8% (42.6%; 55.0%) | 45.4% (38.9%; 51.8%) | −16.4% (−22.3%; −10.6%) | p < 0.001 |
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Vestergaard, M.; Gunning, A.; Mather, R.; Hansen, H.D.; Ajslev, T.A. Impact of a Digital Leakage Notification System on Leakage, Quality of Life, Healthcare Resource Utilisation, and Work Productivity: Interim Results from a Longitudinal Real-World Study in the UK. J. Clin. Med. 2026, 15, 663. https://doi.org/10.3390/jcm15020663
Vestergaard M, Gunning A, Mather R, Hansen HD, Ajslev TA. Impact of a Digital Leakage Notification System on Leakage, Quality of Life, Healthcare Resource Utilisation, and Work Productivity: Interim Results from a Longitudinal Real-World Study in the UK. Journal of Clinical Medicine. 2026; 15(2):663. https://doi.org/10.3390/jcm15020663
Chicago/Turabian StyleVestergaard, Martin, Amanda Gunning, Rebecca Mather, Helle Doré Hansen, and Teresa Adeltoft Ajslev. 2026. "Impact of a Digital Leakage Notification System on Leakage, Quality of Life, Healthcare Resource Utilisation, and Work Productivity: Interim Results from a Longitudinal Real-World Study in the UK" Journal of Clinical Medicine 15, no. 2: 663. https://doi.org/10.3390/jcm15020663
APA StyleVestergaard, M., Gunning, A., Mather, R., Hansen, H. D., & Ajslev, T. A. (2026). Impact of a Digital Leakage Notification System on Leakage, Quality of Life, Healthcare Resource Utilisation, and Work Productivity: Interim Results from a Longitudinal Real-World Study in the UK. Journal of Clinical Medicine, 15(2), 663. https://doi.org/10.3390/jcm15020663

