RESUMO
INTRODUCTION: The use of survey methodology in surgical research has proliferated in recent years, but the quality of these surveys and of their reporting is understudied. METHODS: We conducted a comprehensive review of surgical survey literature (January 2022-July 2023) via PubMed in July 2023. Articles which (1) reported data gleaned from a survey, (2) were published in an English language journal, (3) targeted survey respondents in the United States or Canada, and (4) pertained to general surgery specialties were included. We assessed quality of survey reports using the Checklist for Reporting Of Survey Studies (CROSS) guidelines. Articles were evaluated for concordance with CROSS using a dichotomous (yes or no) scale. RESULTS: Initial literature search yielded 481 articles; 57 articles were included in analysis based on the inclusion criteria. The mean response rate was 37% (range 0.62%-98%). The majority of surveys were administered electronically (n = 50, 87.8%). No publications adhered to all 40 CROSS items; on average, publications met 61.2% of items applicable to that study. Articles were most likely to adhere to reporting criteria for title and abstract (mean adherence 99.1%), introduction (99.1%), and discussion (92.4%). Articles were least adherent to items related to methodology (42.6%) and moderately adherent to items related to results (76.6%). Only five articles cited CROSS guidelines or another standardized survey reporting tool (10.5%). CONCLUSIONS: Our analysis demonstrates that CROSS reporting guidelines for survey research have not been adopted widely. Surveys reported in surgical literature may be of variable quality. Increased adherence to guidelines could improve development and dissemination of surveys done by surgeons.
Assuntos
Lista de Checagem , Humanos , Inquéritos e Questionários/estatística & dados numéricos , Lista de Checagem/normas , Canadá , Cirurgia Geral/normas , Estados Unidos , Pesquisa Biomédica/normas , Pesquisa Biomédica/estatística & dados numéricosRESUMO
OBJECTIVE: Postpartum depression (PPD) affects 10-15% of mothers in the general population, and studies show increased incidence for mothers of infants with serious health conditions. This study investigates incidence of PPD in mothers of surgical patients in the neonatal intensive care unit (NICU) and characterizes these patients' clinical and neurodevelopmental outcomes. METHODS: This retrospective cohort study analyzed Nebraska's Tracking Infant Progress Statewide (TIPS) database and referring hospital medical records from February 2013 to June 2018. Upon NICU discharge, children were referred to the TIPS program, with scheduled follow-up appointments at approximately 6 months corrected age. All patients seen in NICU follow-up clinic with recorded scores for maternal Edinburgh postnatal depression screen (EPDS) were eligible except infants with congenital heart disease as this cohort was previously studied. Patients were stratified into groups based on presence or absence of a general surgical procedure within the first 6 months of life and positive (≥ 10) or negative (< 10) EPDS score. Statistical analyses assessed for significant differences between groups regarding gestational age, birth weight, maternal age, length of NICU stay (LOS), number of days on a ventilator, payment method, ethnicity, developmental testing, and rate of referral for early intervention services. RESULTS: Of 436 patients, 83 were surgical patients (16 with positive EPDS; 19.3% incidence), and 353 were non-surgical patients (44 with positive EPDS; 12.5% incidence). Statistical analysis showed no significant relationship between neonatal surgery and positive EPDS (χ2 = 2.6, p = 0.1). While the surgical cohort had longer LOS and days on ventilator, maternal EPDS did not predict these factors. In the surgical cohort, mothers of children not independent on oral feeding at discharge were more likely to screen positive for depression (7/14, 50% vs. 7/61, 11%; p < 0.05). CONCLUSION: Mothers of surgical patients are not significantly more likely to screen positive for post-partum depression compared to other NICU mothers. This underscores the importance of routine screening for PPD in mothers of both surgical and non-surgical NICU patients in order to identify parents and children at risk.
Assuntos
Depressão Pós-Parto , Criança , Depressão Pós-Parto/diagnóstico , Depressão Pós-Parto/epidemiologia , Feminino , Humanos , Lactente , Recém-Nascido , Unidades de Terapia Intensiva Neonatal , Mães , Estudos RetrospectivosRESUMO
BACKGROUND: Poor sleep leads to poor health outcomes. Phase I of our sleep quality improvement project showed severe sleep disturbance in the ward setting. We implemented a novel PostOp Pack to improve sleep quality. METHODS: Patients underwent elective, general surgery procedures. Fitbit trackers measured total sleep time. Patients completed the inpatient Richards-Campbell Sleep Questionnaire, which combines 5 domains into a cumulative score (0-100). Patients completed the outpatient Pittsburgh Sleep Quality Index preoperatively and postoperatively. Patients received the PostOp Pack, which included physical items and a sleep-protective order set to reduce nighttime awakenings. Patients from phase I served as the historical control. The primary outcome was the percentage of patients with Richards-Campbell Sleep Questionnaire total sleep score ≥50. The secondary outcomes included the mean Richards-Campbell Sleep Questionnaire domain scores and Fitbit total sleep time. RESULTS: A total of 49 patients were compared with 64 historical controls. The percentage of patients with a total sleep score ≥50 was significantly higher in patients receiving a PostOp Pack versus historical control (69% vs. 44%, difference 26%, 95% confidence interval 6.1-45%, P = .01). The mean Richards-Campbell Sleep Questionnaire Total Sleep Score was significantly higher in patients with a PostOp Pack (62 vs 49, mean difference 13, 95% confidence interval 6-21, P ≤ .01). The PostOp Pack Richards-Campbell Sleep Questionnaire domain scores were significantly higher in various areas: Sleep Latency (68 vs 49, P ≤ .01), Awakenings (56 vs 40, P = .01), Sleep Quality (61 vs 49, P = .02), and Noise Disturbance (70 vs 59, P = .04). Of all patients, 92% would use PostOp Pack again in a future hospitalization. No patients had a failure to rescue event with PostOp Pack. The mean total sleep time was significantly improved with PostOp Pack on night 1 (6.4 vs 4.7 hours, P = .03). CONCLUSION: The PostOp Pack improves inpatient sleep quality and is safe.