| Literature DB >> 32997270 |
Natalie Liu1, Jacob A Greenberg1, Yiwei Xu1, Amber L Shada1, Luke M Funk1,2, Anne O Lidor3.
Abstract
BACKGROUND: Typically, in-person follow-up in clinic is utilized after outpatient inguinal hernia repair. Studies have shown that phone follow-up may be successfully used for the detection of postoperative hernia recurrences. However, no studies have evaluated the detection rates of other postoperative complications, such as emergency department visits and readmissions, with the utilization of phone follow-up after inguinal hernia repair. The objective of our study was to investigate the safety of a phone follow-up care pathway following elective, outpatient inguinal hernia repair.Entities:
Keywords: Health services; Hernia; Outcome assessment; Telemedicine; health care; inguinal
Mesh:
Year: 2020 PMID: 32997270 PMCID: PMC7526072 DOI: 10.1007/s00464-020-08005-5
Source DB: PubMed Journal: Surg Endosc ISSN: 0930-2794 Impact factor: 4.584
Fig. 1Study cohort creation: STROBE diagram
Baseline patient demographics
| Characteristics | Follow-up Type | ||
|---|---|---|---|
| Phone ( | In-person ( | ||
| Age (years) ( | 0.455 | ||
| ≤ 45 | 454 (26.90) | 74 (23.05) | |
| (45, 55] | 336 (19.91) | 66 (20.56) | |
| (55, 65] | 470 (27.84) | 100 (31.15 | |
| > 65 | 428 (25.36) | 81 (25.23) | |
| Sex ( | 0.357 | ||
| Female | 131 (7.71) | 20 (6.23) | |
| Male | 1557 (92.29) | 301 (93.77) | |
| Race ( | < 0.001 | ||
| White | 1583 (93.84) | 280 (87.23) | |
| Black | 51 (3.02) | 22 (6.85) | |
| Other | 53 (3.14) | 19 (5.92) | |
| BMI (kg/m2) ( | 0.514 | ||
| ≤ 25 | 587 (34.92) | 120 (37.85) | |
| (25, 30] | 783 (46.58) | 137 (43.22) | |
| > 30 | 311 (18.50) | 60 (18.93) | |
| Previous abdominal surgery ( | 0.086 | ||
| 0 | 948 (56.29) | 199 (62.19) | |
| 1 | 704 (41.81) | 113 (35.31) | |
| > 1 | 32 (1.90) | 8 (2.50) | |
| Preoperative comorbidities ( | |||
| CAD | 91 (5.39) | 16 (4.98) | 0.766 |
| COPD | 35 (2.07) | 9 (2.80) | 0.413 |
| CHF | 14 (0.83) | 4 (1.25) | 0.513 |
| Hyperlipidemia | 385 (22.81) | 78 (24.30) | 0.561 |
| Hypertension | 447 (26.48) | 98 (30.53) | 0.135 |
| Osteoarthritis | 62 (3.68) | 10 (3.12) | 0.620 |
| T2DM | 86 (5.09) | 30 (9.35) | 0.003 |
| Bladder sling | 5 (0.30) | 1 (0.31) | 0.999 |
| Smoking ( | 0.884 | ||
| None | 1003 (59.42) | 188 (58.57) | |
| Former | 506 (29.98) | 96 (29.91) | |
| Current | 179 (10.60) | 37 (11.53) | |
| Prostatic diseases (male patients only) ( | |||
| BPH | 165 (10.61) | 24 (7.97) | 0.166 |
| Prostatectomy | 51 (3.28) | 14 (4.65) | 0.236 |
| TURP | 15 (0.96) | 5 (1.66) | 0.283 |
| Preoperative home medications ( | |||
| Anticoagulation | 83 (4.92) | 19 (5.92) | 0.455 |
| Steroid/immunosuppression | 71 (4.21) | 17 (5.30) | 0.382 |
| Anti-inflammatory | 330 (19.55) | 59 (18.38) | 0.627 |
| Antiplatelet | 478 (28.33) | 92 (28.66) | 0.905 |
| Narcotics | 151 (8.95) | 25 (7.79) | 0.500 |
| Urinary retention | 124 (7.35) | 21 (6.54) | 0.610 |
Operative characteristics
| Characteristics | Follow-up | ||
|---|---|---|---|
| Phone ( | In-person ( | ||
| Surgery type ( | < 0.001 | ||
| Open | 244 (14.60) | 147 (46.96) | |
| Laparoscopic | 1427 (85.40) | 166 (53.04) | |
| Bilateral ( | 545 (32.31) | 65 (0.44) | < 0.001 |
| Recurrent surgery ( | 131 (7.76) | 27 (8.41) | 0.691 |
| Year of procedure ( | < 0.001 | ||
| 2013 | 65 (3.85) | 93 (28.97) | |
| 2014 | 157 (9.30) | 41 (12.77) | |
| 2015 | 190 (11.26) | 66 (20.56) | |
| 2016 | 398 (23.58) | 24 (7.48) | |
| 2017 | 376 (22.27) | 43 (13.40) | |
| 2018 | 386 (22.87) | 43 (13.40) | |
| 2019 | 116 (6.87) | 11 (3.43) | |
| OR time (min) (mean, SD) | 67.32 (40.52) | 88.21 (84.64) | < 0.001 |
| LOS (min) (mean, SD) | 437.60 (237.31) | 512.95 (350.93) | < 0.001 |
| Postoperative home medications ( | |||
| Anticoagulation | 77 (4.56) | 17 (5.30) | 0.568 |
| Steroid/immunosuppression | 65 (3.86) | 15 (4.69) | 0.485 |
| Anti-inflammatory | 350 (20.73) | 61 (19.12) | 0.513 |
| Antiplatelet | 404 (23.93) | 78 (24.30) | 0.888 |
| Narcotics | 197 (11.67) | 42 (13.08) | 0.473 |
| Urinary retention | 133 (7.88) | 19 (5.94) | 0.229 |
Postoperative complications
| Characteristics | Follow-up | ||
|---|---|---|---|
| Phone ( | In-person ( | ||
| Within 30 days of discharge (n,%) | |||
| Straight catheterization | 46 (2.73) | 6 (1.87) | 0.376 |
| Indwelling catheter | 50 (2.97) | 6 (1.87) | 0.274 |
| Wound infections | 17 (1.01) | 1 (0.31) | 0.338 |
| Seroma | 117 (6.94) | 29 (9.03) | 0.185 |
| Urinary tract infection | 11 (0.65) | 0 (0.00) | 0.230 |
| Related ED visit within 90 days of initial surgery ( | 133 (7.88) | 16 (5.00) | 0.072 |
| Related readmission within 90 days of surgery ( | 56 (3.32) | 14 (4.38) | 0.345 |
| Related reoperation within 90 days of surgery ( | 19 (1.13) | 2 (0.37) | 0.559 |
Multivariable logisitic regression analysis for having any related ED visit/readmission/reoperation as the outcome
| Characteristics | Bivariate OR (95% CI) | Multivariable OR (95% CI) | ||
|---|---|---|---|---|
| Follow-up type | ||||
| In-person only | Ref. | – | Ref. | – |
| Phone | 1.22 (0.79, 1.88) | 0.365 | 1.30 (0.83, 2.05) | 0.256 |
| Age | ||||
| ≤ 45 | Ref. | – | Ref. | – |
| 45–65 | 0.86 (0.59, 1.25) | 0.435 | 0.78 (0.53, 1.15) | 0.211 |
| >65 | 1.45 (0.99, 2.12) | 0.058 | 1.31 (0.88, 1.95) | 0.188 |
| Sex | ||||
| Female | Ref. | – | Ref. | – |
| Male | 0.95 (0.54, 1.65) | 0.848 | 0.97 (0.56, 1.71) | 0.928 |
| Type 2 diabetes mellitus | 1.41 (0.81, 2.48) | 0.227 | 1.19 (0.65, 2.20) | 0.572 |
| Laterality | ||||
| Unilateral | Ref. | – | Ref. | – |
| Bilateral | 1.12 (0.82, 1.54) | 0.466 | 1.20 (0.85, 1.69) | 0.308 |
| Recurrent surgery | 1.36 (0.83, 2.23) | 0.217 | 1.31 (0.78, 2.18) | 0.308 |
| Surgery type | ||||
| Open | Ref. | – | Ref. | – |
| Laparoscopic | 0.72 (0.51, 1.01) | 0.057 | 0.69 (0.46, 1.02) | 0.065 |