| Literature DB >> 35910767 |
Hasan Yılmaz1,2, Burcu Kocyigit2.
Abstract
Background and Aims: Gastrointestinal (GI) endoscopy is a limited health resource because of a scarcity of qualified personnel and limited availability of equipment. Non-adherence to endoscopy appointments therefore wastes healthcare resources and may compromise the early detection and treatment of GI diseases. We aimed to identify factors affecting non-attendance at scheduled appointments for GI endoscopy and thus improve GI healthcare outcomes.Entities:
Keywords: Appointment non-attendance; COVID-19; Deep sedation; Endoscopy; Lead time
Year: 2022 PMID: 35910767 PMCID: PMC9332409 DOI: 10.7717/peerj.13518
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 3.061
Figure 1Flowchart of the study population.
Characteristics of patients and appointment attendance.
| Factors | Total ( | Non-attenders ( | Attenders ( |
|
|---|---|---|---|---|
| Patient-related factors | ||||
| Gender | ||||
| Male, | 2,913 (49.1) | 482 (16.5) | 2,431 (83.5) | 0.001 |
| Female, | 3,025 (50.9) | 606 (20) | 2,419 (80) | |
| Age, mean (SD), years | 54.1 (15.4) | 54.9 (15.8) | 53.9 (15.3) | 0.068 |
| Marital status | ||||
| Married, | 4,638 (78.1) | 834 (18) | 3,804 (82) | 0.209 |
| Not married, | 1,300 (21.9) | 254 (19.5) | 1,046 (80.5) | |
| Number of appointments | ||||
| Single, | 4,270 (71.9) | 754 (17.7) | 3,516 (82.3) | 0.037 |
| Multiple, | 1,668 (28.1) | 334 (20) | 1,334 (80) | |
| Travelling status | ||||
| From the city, | 4,740 (79.8) | 893 (18.8) | 3,847 (79.2) | 0.041 |
| From outside the city, | 1,198 (20.2) | 195 (16.3) | 1,003 (83.7) | |
| Travel time median (IQR), min | 277 (167−381) | 310 (196−369) | 276 (165−383) | 0.239 |
| Associated malignancy | ||||
| Yes, | 2,012 (33.9) | 220 (11) | 1,792 (89) | <0.001 |
| No, | 3,926 (66.1) | 868 (22) | 3,058 (78) | |
| Hospital-related factors | ||||
| Deep sedation | ||||
| Yes, | 1,351 (22.8) | 63 (4.7) | 1,288 (95.3) | <0.001 |
| No, | 4,587 (77.2) | 1,025 (22.3) | 3,562 (77.7) | |
| Referring physician | ||||
| Gastroenterologist, | 4,403 (74.1) | 632 (14.4) | 3,771 (85.6) | <0.001 |
| Other, | 1,535 (25.9) | 456 (29.7) | 1,079 (70.3) | |
| Healthcare-related factors | ||||
| Era | ||||
| Before pandemic, | 3,618 (60.9) | 818 (22.6) | 2,800 (77.4) | <0.001 |
| After pandemic, | 2,320 (39.1) | 269 (11.6) | 2,051 (88.4) | |
| Lead time, median (IQR), days | 21 (11−35) | 32 (21−42) | 19 (9−33) | <0.001 |
| Interventions | ||||
| ERCP, | 868 (14.6) | 37 (4.3) | 831 (95.7) | <0.001 |
| Gastroscopy, | 2,674 (50.5) | 613 (22.9) | 2,061 (77.1) | |
| Colonoscopy, | 2,396 (40.4) | 438 (18.3) | 1,958 (81.7) | |
| Referral Season | ||||
| Spring, | 1,320 (22.2) | 255 (19.3) | 1,065 (80.7) | 0.001 |
| Summer, | 1,563 (26.3) | 256 (16.4) | 1,307 (83.6) | |
| Fall, | 1,552 (26.1) | 259 (16.7) | 1,293 (83.3) | |
| Winter, | 1,503 (25.3) | 318 (21.2) | 1,185 (78.8) |
Notes:
Chi-squared test.
Student’s t-test.
Mann-Whitney U test. P > 0.05 in the listed factors indicates that there is no difference between the attender and non- attender groups.
Comparison of adherence to GI procedures during pre-pandemic and pandemic eras.
| Pre-pandemic | Pandemic | |||||
|---|---|---|---|---|---|---|
| Non-attenders, | Attenders, |
| Non-attenders, | Attenders, |
| |
| Gastroscopy | <0.001 | 0.084 | ||||
| Diagnostic | 117 (16.7) | 584 (83.3) | 88 (19.1) | 372 (80.9) | ||
| Therapeutic | 27 (10.1) | 240 (89.9) | 71 (21.8) | 254 (78.2) | ||
| Screening | 295 (33.7) | 580 (66.3) | 15 (32.6) | 31 (67.4) | ||
| Colonoscopy | <0.001 | <0.001 | ||||
| Diagnostic | 108 (18.7) | 470 (81.3) | 18 (9.1) | 179 (90.9) | ||
| Therapeutic | 43 (13.0) | 289 (87.0) | 32 (6.5) | 463 (93.5) | ||
| Screening | 221 (29.7) | 522 (70.3) | 16 (31.4) | 35 (68.6) | ||
| ERCP | 0.005 | 0.010 | ||||
| Diagnostic | 5 (22.7) | 17 (77.3) | 6 (12.0) | 44 (88.0) | ||
| Therapeutic | 3 (3.0) | 97 (97.0) | 23 (3.3) | 673 (96.7) | ||
Note:
GI, Gastrointestinal; ERCP, Endoscopic Retrograde Cholangiopancreatography.
Figure 2Proportion of non-attendance for gastrointestinal intervention during COVID-19 with and without lockdown by indication.
Individual and organizational factors associated with non-attendance: ORs and 95% CIs (n = 5,938).
| Univariate analysis | Multivariate analysis | |||
|---|---|---|---|---|
| Factors | OR (95% CI) |
| OR (95% CI) |
|
| Patient-related factors | ||||
| Gender | ||||
| Male (R) | 1.0 | 1.0 | ||
| Female | 1.263 [1.107−1.442] | 0.001 | 1.187 [1.033−1.363] | 0.015 |
| Age, years | 1.004 [1.000−1.008] | 0.063 | – | – |
| Marital Status | ||||
| Married (R) | 1.0 | 1.0 | ||
| Not married | 1.108 [0.947−1.295] | 0.200 | 1.169 [0.993−1.377] | 0.061 |
| Number of appointments | ||||
| One time (R) | 1.0 | – | – | |
| More than one | 0.488 [0.410−0.582] | <0.001 | ||
| Travelling Status | ||||
| In the city (R) | 1.0 | 1.0 | ||
| Outside the city | 0.838 [0.707−0.993] | 0.041 | 0.935 [0.782−1.117] | 0.459 |
| Travel time | 1.000 [1.000−1.001] | 0.613 | – | – |
| Associated Malignancy | ||||
| Yes (R) | 1.0 | – | – | |
| No | 2.312 [1.972−2.711] | <0.001 | ||
| Hospital-related factors | ||||
| Deep sedation | ||||
| Yes (R) | 1.0 | 1.0 | ||
| No | 5.883 [4.526−7.647] | <0.001 | 3.253 [2.386−4.435] | <0.001 |
| Referring physician | ||||
| Gastroenterologist (R) | 1.0 | 1.0 | ||
| Other | 2.522 [2.196−2.895] | <0.001 | 1.891 [1.630−2.193] | <0.001 |
| Healthcare-related factors | ||||
| Era | ||||
| Before pandemic (R) | 1.0 | 1.0 | ||
| After pandemic | 0.448 [0.386−0.520] | <0.001 | 1.010 [0.847−1.203] | 0.913 |
| Lead time, days | 1.007 [1.009−1.011] | <0.001 | 1.006 [1.004−1.008] | <0.001 |
| Interventions | ||||
| ERCP (R) | 1.0 | 1.0 | ||
| Gastroscopy | 6.680 [4.748−9.399] | <0.001 | 2.213 [1.495−3.277] | <0.001 |
| Colonoscopy | 5.024 [3.557−7.096] | <0.001 | 1.819 [1.227−2.697] | 0.003 |
| Referral Season | ||||
| Spring (R) | 1.0 | – | – | |
| Summer | 0.818 [0.676−0.991] | 0.040 | ||
| Fall | 0.837 [0.691−1.013] | 0.067 | ||
| Winter | 1.121 [0.932−1.348] | 0.225 | ||
Note:
OR, odds ratio; CI, confidence interval; R, reference.
Figure 3The cumulative probability curve of non-attendance at appointments by the number of risk factors present in a patient.
The probability of non-adherence increased cumulatively as the number of risk factors present in any individual patient increased. The cumulative risk factors assessed were: female gender, intervention other than ERCP, referral other than a gastroenterologist, absence of deep sedation.