Predictors of Recovery Expectancy in Preparation for Pelvic Reconstructive Surgery in Women With Pelvic Organ Prolapse: A Prospective Cohort Study.
Journal
Urogynecology (Philadelphia, Pa.)
ISSN: 2771-1897
Titre abrégé: Urogynecology (Phila)
Pays: United States
ID NLM: 9918452588006676
Informations de publication
Date de publication:
01 07 2023
01 07 2023
Historique:
medline:
26
6
2023
pubmed:
27
1
2023
entrez:
26
1
2023
Statut:
ppublish
Résumé
Recovery expectancy is a modifiable predictor of actual recovery after surgery. Identifying predictors of recovery expectancy will allow clinicians to preoperatively modify recovery expectancy and optimize actual recovery. The primary objective was to identify patient characteristics that predict a patient's recovery expectancy. The secondary objective was to validate previous research demonstrating that recovery expectancy predicted actual recovery. This is a prospective cohort study of women undergoing pelvic reconstructive surgery. Patients completed a preoperative survey to collect data on potential sociodemographic, clinical, and psychosocial, including investment in life roles, predictors of recovery expectancies. Actual recovery was measured at postoperative weeks 2 and 6. Predictors of recovery expectancy were identified. Two hundred one women were recruited with 174 included in the final analysis. Variables significantly associated with recovery expectancy during bivariate analysis ( P < 0.05) were education level, total prior surgical procedures, pelvic pain, back pain, bodily pain, sick role investment, optimism, satisfaction with participation in social roles, overall social support, job satisfaction, and professionalism. Sick role investment was the only independent predictor of recovery expectancy (F = 3.46, df = 13, P < 0.001). Greater sick role investment was associated with increased probability of prolonged recovery. Patients with low recovery expectancies had less actual recovery compared with patients with high recovery expectancies ( P = 0.014). This study confirmed prior work that recovery expectancy predicts actual recovery after reconstructive pelvic surgery and may establish recovery expectancy as a mediator between sick role investment and actual postdischarge surgical recovery.
Identifiants
pubmed: 36701635
doi: 10.1097/SPV.0000000000001327
pii: 02273501-990000000-00066
doi:
Banques de données
ClinicalTrials.gov
['NCT04274491']
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
607-616Informations de copyright
Copyright © 2023 American Urogynecologic Society. All rights reserved.
Références
Shah AD, Kohli N, Rajan SS, et al. The age distribution, rates, and types of surgery for pelvic organ prolapse in the USA. Int Urogynecol J . 2008;19:421–428. doi: 10.1007/s00192-007-0457-y.
doi: 10.1007/s00192-007-0457-y
Wu JM, Matthews CA, Conover MM, et al. Lifetime risk of stress urinary incontinence or pelvic organ prolapse surgery. Obstet Gynecol . 2014;123(6):1201–1206. doi: 10.1097/AOG.0000000000000286.
doi: 10.1097/AOG.0000000000000286
Clayton M, Verow P. A retrospective study of return to work following surgery. Occup Med (Lond) . 2007;53:525–531. doi: 10.1093/occmed/kqm082.
doi: 10.1093/occmed/kqm082
Flood AB, Lorence DP, Ding J, et al. The role of expectations in patient's reports of post-operative outcomes and improvement following therapy. Med Care . 1993;31(11):1043–1056. doi: 10.1097/00005650-199311000-00006.
doi: 10.1097/00005650-199311000-00006
Auer C, Glombiewski J, Doering B, et al. Patient’s expectations predict surgery outcomes: a meta-analysis. Int J Behav Med . 2016;23:49–62. doi: 10.1007/s12529-015-9500-4.
doi: 10.1007/s12529-015-9500-4
Heit M, Chen CX, Pan C, et al. Recovery expectancies impact postdischarge recovery 42 days after laparoscopic sacrocolpopexy. Int Urogynecol J . 2021;32:1527–1532. doi: 10.1007/s00192-020-04586-w.
doi: 10.1007/s00192-020-04586-w
Shattuck EC, Perrotte JK, Daniels CL, et al. The contribution of sociocultural factors in shaping self-reported sickness behavior. Front Behav Neurosci . 2020;14:4. doi: 10.3389/fnbeh.2020.00004.
doi: 10.3389/fnbeh.2020.00004
Heit M, Carpenter JS, Chen CX, et al. Predictors of postdischarge surgical recovery following laparoscopic sacrocolpopexy: a prospective cohort study. Female Pelvic Med Reconstr Surg . 2020;26(5):320–326. doi: 10.1097/SPV.0000000000000599.
doi: 10.1097/SPV.0000000000000599
Harris PA, Taylor R, Thielke R, et al. Research electronic data capture (REDCap)—a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform . 2009;42(2):377–381. doi: 10.1016/j.jbi.2008.08.010.
doi: 10.1016/j.jbi.2008.08.010
Carpenter JS, Heit M, Chen CX, et al. Validating the postdischarge surgical recovery scale 13 as a measure of perceived postoperative recovery after laparoscopic sacrocolpopexy. Female Pelvic Med Reconstr Surg . 2017;23:86–89. doi: 10.1097/SPV.0000000000000352.
doi: 10.1097/SPV.0000000000000352
Fiabane E, Argentero P, Calsamiglia G, et al. Does job satisfaction predict early return to work after coronary angioplasty or cardiac surgery. Int Arch Occup Environ Health . 2013;86:561–569. doi: 10.1007/s00420-012-0787-z.
doi: 10.1007/s00420-012-0787-z
Susser M. Disease, illness, sickness: impairment, disability, and handicap. Psychol Med . 1920;20:471–473. doi: 10.1017/s0033291700016974.
doi: 10.1017/s0033291700016974
Berk M, Berk L, Dodd S, et al. Psychometric properties of a scale to measure investment in the sick role: the illness cognitions scale. J Eval Clin Pract . 2012;18:360–364. doi: 10.1111/j.1365-2753.2010.01570.x.
doi: 10.1111/j.1365-2753.2010.01570.x
Berk M, Berk L, Dodd S, et al. The sick role, illness cognitions and outcomes in bipolar disorder. J Affect Disord . 2013;146:146–149. doi: 10.1016/j.jad.2012.07.003.
doi: 10.1016/j.jad.2012.07.003
de Ridder D, Geenen R, Kuijer R, et al. Psychological adjustment to chronic disease. Lancet . 2008;372:246–255. doi: 10.1016/S0140-6736(08)61078-8.
doi: 10.1016/S0140-6736(08)61078-8
Vonk Noordegraaf A, Anema JR, van Mechelen W, et al. A personalized eHealth programme reduces duration until return to work after gynaecological surgery: results of a multicenter randomised trial. BJOG . 2014;121:1127–1135. doi: 10.1111/1471-0528.12661.
doi: 10.1111/1471-0528.12661