Variation in length of hospital stay after lung cancer surgery in the Netherlands†

Meyenfeldt, Erik M. von; Marres, Geertruid M H; Thiel, E.; Damhuis, Ronald A.

doi:10.1093/ejcts/ezy074

Cited by 24 publications

(20 citation statements)

References 10 publications

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“…Consistent with previous study findings, the utilization of preoperative education and non-pharmacological therapy play a vital role in decreasing pain intensity after thoracic surgery (Chou et al 2016;Schug et al 2015). A similar pattern of results was obtained for SROM and LOSAS as there was no difference in the improvement in SROM (Barrett et al 2017;Bunchungmongkol et al 2014;Ohmori et al 2013;Sowa et al 2017) and LOSAS (Giambrone et al 2016;Meyenfeldt et al 2018). These findings might be attributed to the consequence of pain after thoracic surgery, which can impede the SROM for more than 3 days after surgery (Barrett et al 2017;Blichfeldt-Eckhardt et al 2017;Bunchungmongkol et al 2014;Garusi et al 2016;Giambrone et al 2016;Meyenfeldt et al 2018;Sowa et al 2017).…”

Section: Discussion Of Findingssupporting

confidence: 88%

“…A similar pattern of results was obtained for SROM and LOSAS as there was no difference in the improvement in SROM (Barrett et al 2017;Bunchungmongkol et al 2014;Ohmori et al 2013;Sowa et al 2017) and LOSAS (Giambrone et al 2016;Meyenfeldt et al 2018). These findings might be attributed to the consequence of pain after thoracic surgery, which can impede the SROM for more than 3 days after surgery (Barrett et al 2017;Blichfeldt-Eckhardt et al 2017;Bunchungmongkol et al 2014;Garusi et al 2016;Giambrone et al 2016;Meyenfeldt et al 2018;Sowa et al 2017). It is notable from previous studies that comorbidities, post-operative complications, age and surgical approach impact the length of stay in the hospital after lung cancer surgery (Meyenfeldt et al 2018) and uncomplicated pulmonary lobectomy (Giambrone et al 2016).…”

Section: Discussion Of Findingssupporting

confidence: 77%

“…; Meyenfeldt et al. ). These findings might be attributed to the consequence of pain after thoracic surgery, which can impede the SROM for more than 3 days after surgery (Barrett et al.…”

Section: Resultsmentioning

confidence: 98%

“…It is notable from previous studies that comorbidities, post‐operative complications, age and surgical approach impact the length of stay in the hospital after lung cancer surgery (Meyenfeldt et al. ) and uncomplicated pulmonary lobectomy (Giambrone et al. ).…”

Section: Resultsmentioning

confidence: 99%

“…These findings might be attributed to the consequence of pain after thoracic surgery, which can impede the SROM for more than 3 days after surgery (Barrett et al 2017;Blichfeldt-Eckhardt et al 2017;Bunchungmongkol et al 2014;Garusi et al 2016;Giambrone et al 2016;Meyenfeldt et al 2018;Sowa et al 2017). It is notable from previous studies that comorbidities, post-operative complications, age and surgical approach impact the length of stay in the hospital after lung cancer surgery (Meyenfeldt et al 2018) and uncomplicated pulmonary lobectomy (Giambrone et al 2016). Contrary to previous studies, our participants in both groups did not have comorbidities and post-operative complications, and there was no difference in surgical approach.…”

Section: Discussion Of Findingsmentioning

confidence: 99%

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Nurse‐led post‐thoracic surgery pain management programme: its outcomes in a Nigerian Hospital

Odejobi

Maneewat

Chittithavorn

2019

International Nursing Review

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Aim The overarching aim of this study was to investigate the effects of a nurse‐led pain management programme on pain intensity, side effects of treatment, shoulder range of motion and length of stay after thoracic surgery. Background Post‐thoracic surgical pain is a major source of stress and distress for patients. It has profound effects ranging from increased risks in developing chronic post‐thoracic surgery pain to an increased length of stay after surgery. The post‐thoracic surgical pain management in the Nigerian context is based on the traditional approach that is dependent on the attending medical and nursing staff. Methods The study was a quasi‐experimental design (two‐group post‐test only). The study was conducted in a Nigerian hospital. Forty‐two patients were recruited and consecutively assigned into either the usual pain management group or the intervention group after they had met the inclusion criteria. Data were collected utilizing the following: (1) the modified McGill Pain Questionnaire; (2) a Numeric Rating Scale; (3) the documentation form for thoracic surgery pain management outcomes and (4) a goniometer. Results The findings indicated that pain intensity, nausea and drowsiness were significantly reduced among the patients in the experimental group than the control group, while the duration of stay after surgery and the shoulder range of motion were not different between the groups. Conclusion This study's results suggest that the intervention in question for patients undergoing thoracic surgery had a positive effect on reducing pain intensity, nausea and drowsiness but not the shoulder range of motion and length of stay after surgery. Implications for nursing policy Nursing policymakers may need to give a serious consideration to the revision of policies related to the nursing education curriculum as well as the in‐service training curriculum regarding pain management by nurses especially after surgery. Likewise, future research on other populations employing an improved methodology as well as utilizing up‐to‐date evidence by nurses across different hospitals may be necessary.

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Section: Discussion Of Findingssupporting

confidence: 88%

Section: Discussion Of Findingssupporting

confidence: 77%

“…; Meyenfeldt et al. ). These findings might be attributed to the consequence of pain after thoracic surgery, which can impede the SROM for more than 3 days after surgery (Barrett et al.…”

Section: Resultsmentioning

confidence: 98%

Section: Resultsmentioning

confidence: 99%

Section: Discussion Of Findingsmentioning

confidence: 99%

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Nurse‐led post‐thoracic surgery pain management programme: its outcomes in a Nigerian Hospital

Odejobi

Maneewat

Chittithavorn

2019

International Nursing Review

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Development and validation of nomogram estimating post-surgery hospital stay of lung cancer patients: relevance for predictive, preventive, and personalized healthcare strategies

Wang

et al. 2019

EPMA Journal

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Objective In the era of fast track surgery, early and accurately estimating whether postoperative length of stay (p-LOS) will be prolonged after lung cancer surgery is very important, both for patient's discharge planning and hospital bed management. Pulmonary function tests (PFTs) are very valuable routine examinations which should not be underutilized before lung cancer surgery. Thus, this study aimed to establish an accurate but simple prediction tool, based on PFTs, for achieving a personalized prediction of prolonged p-LOS in patients following lung resection. Methods The medical information of 1257 patients undergoing lung cancer surgery were retrospectively reviewed and served as the training set. p-LOS exceeding the third quartile value was considered prolonged. Using logistic regression analyses, potential predictors of prolonged p-LOS were identified among various preoperative factors containing PFTs and intraoperative factors. A nomogram was constructed and subjected to internal and external validation. Results Five independent risk factors for prolonged p-LOS were identified, including older age, being male, and ratio of residual volume to total lung capacity (RV/TLC) ≥ 45.0% which is the only modifiable risk factor, more invasive surgical approach, and surgical type. The nomogram comprised of these five predictors exhibited sufficient predictive accuracy, with the area under the receiver operating characteristic curve (AUC) of 0.76 [95% confidence interval (CI) 0.73-0.79] in the internal validation. Also its predictive performance remained fine in the external validation, with the AUC of 0.70 (95% CI 0.60-0.79). The calibration curves showed satisfactory agreements between the model predicted probability and the actually observed probability. Conclusions Preoperative amelioration of RV/TLC may prevent lung cancer patients from unnecessary prolonged p-LOS. The integrated nomogram we developed could provide personalized risk prediction of prolonged p-LOS. This prediction tool may help patients perceive expected hospital stays and enable clinicians to achieve better bed management after lung cancer surgery.

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Variables Influencing Hospital Stay and 10-Year Staying Trending After Anatomical Lung Resection

Gómez-Hernández

Forcada

Fuentes

et al. 2023

Archivos de Bronconeumología

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Variation in length of hospital stay after lung cancer surgery in the Netherlands†

Cited by 24 publications

References 10 publications

Nurse‐led post‐thoracic surgery pain management programme: its outcomes in a Nigerian Hospital

Nurse‐led post‐thoracic surgery pain management programme: its outcomes in a Nigerian Hospital

Development and validation of nomogram estimating post-surgery hospital stay of lung cancer patients: relevance for predictive, preventive, and personalized healthcare strategies

Variables Influencing Hospital Stay and 10-Year Staying Trending After Anatomical Lung Resection

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