Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients
Abstract
1. Introduction
- Evaluate the length of index hospital stay;
- Evaluate changes in multidomain overall health status, including patient-reported, laboratory, nutritional, anthropometric, psychological, and physical-function measures;
- Assess patient satisfaction and adherence to the individualized prehabilitation pathway;
- Evaluate the effectiveness of Stochastic Organizational Support Network Planning in facilitating specialist consultations;
- Compare direct healthcare costs associated with RESET and standard care;
- Assess implementation, continuity of care, and the potential scalability of the integrated pathway.
2. Materials and Methods
2.1. Study Design
2.2. Participants and Recruitment Procedure
Recruitment Scheme
3. Oncology Group
3.1. Inclusion Criteria
- -
- Age ≥ 18 years;
- -
- Eligibility for admission to a surgical department for radical cancer surgery based on an ICD-10 diagnosis;
- -
- Preliminary eligibility for planned oncological surgical procedures, not solely diagnostic procedures, performed under general anesthesia;
- -
- Informed consent to participate in the study.
3.2. Exclusion Criteria
- -
- Age < 18 years;
- -
- Eligibility for admission to a surgical department for diagnostic procedures to identify cancer based on an ICD-10 diagnosis;
- -
- Pregnancy or breastfeeding.
4. Non-Oncology Group
4.1. Inclusion Criteria
- -
- Informed consent to participate in the study;
- -
- Age ≥ 70 years;
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- All consecutive patients referred for planned non-oncological surgical procedures, not solely diagnostic procedures, performed under general anesthesia
4.2. Exclusion Criteria
- -
- Cancer diagnosis.
4.2.1. Randomization
4.2.2. Blinding
4.3. Study Intervention
- Prehabilitation Coordination System: The individual prehabilitation schedule for each study participant will be continuously monitored and coordinated by the research team members. The participant can report any additional needs or request consultations at any time.
- Nutritional Intervention: Nutritional status will be evaluated using anthropometric measurements, bioelectrical impedance analysis, and a clinical dietitian interview. Caloric and protein requirements will be calculated, and individualized dietary, supplementation, probiotic, or immunonutrition recommendations will be provided when clinically indicated.
- Pharmacological Intervention: Medications recommended through multidisciplinary consultations will be introduced if required by the patient. Vitamin supplementation will be added on the basis of the patient’s needs. For selected patients, probiotic supplementation will be introduced to optimize the gut microbiota.
- Physical Activity Intervention: A physiotherapist will conduct a detailed interview and functional assessment to identify the participant’s usual daily activity patterns, baseline exercise habits, physical capacity, individual needs, clinical condition, and requirements related to the planned surgery [3]. On this basis, individualized and comprehensive physical activity and exercise recommendations will be prescribed to optimize preoperative preparation and support the earliest possible recovery of function after surgery. Functional assessment will include the six-minute walk test, handgrip strength, FEV1, and the sit-to-stand test. Activity levels and implementation of the recommendations will be monitored using the wristband, mobile application, and follow-up assessments.
- Psychological Intervention: The Hospital Anxiety and Depression Scale (HADS) is used to screen for anxiety, depressive symptoms, and clinically relevant emotional distress. In accordance with the approved protocol, participants with a combined total HADS score (HADS-T; anxiety plus depression subscales; range 0–42) ≥ 15 are referred to a trained psychologist for further assessment and individualized support. This threshold applies to the total 14-item score and is distinct from cut-offs used for the anxiety and depression subscales separately. A HADS-T threshold of 15 has been validated as a clinically useful screening threshold for psychosocial distress in oncology populations [34]. Participants with a HADS-T score < 15 who have a relevant psychiatric history may be referred to a social worker for additional psychosocial support. The HADS score is used to identify patients who may benefit from further assessment; it is not, by itself, a psychiatric diagnosis. Subsequent management is based on clinical assessment and the participant’s psychosocial context. The psychologist may also use the Mini-Mental State Examination (MMSE) when clinically indicated. To reduce the risk of overlooking marked symptoms concentrated in one domain, HADS-A and HADS-D scores are also reviewed separately as part of clinical interpretation. These subscale scores do not define additional protocol referral thresholds; however, together with relevant psychiatric history and clinical assessment, they provide supplementary safeguards so clinically concerning anxiety or depressive symptoms are not disregarded solely because HADS-T is <15.
- Compliance Assessment: Wristband, Patient Application: Progress Monitoring Application. Each participant will receive a wristband to track physical activity. The patient application will provide a personalized prehabilitation plan on the basis of data collected during the first visit. This will enhance patients’ sense of security and improve their adherence to the prehabilitation team’s recommendations. It consists of the following modules:
- ○
- Treatment Guidance and Education Module: Provides patients with information about the treatment plan and educates them about the disease and how to live with it;
- ○
- Physiotherapy Module: Shares information about the recommended physical activity or exercises tailored to the patient, allowing them to track daily progress, such as recording step counts;
- ○
- Nutrition Module: Provides the patient with individualized dietary recommendations regarding nutrient intake and special nutritional supplements;
- ○
- Communication Module: Enables communication with the prehabilitation clinic coordinator.
- Stochastic Organizational Support Network Planning: This is a model that reduces patient waiting times for specialist visits and improves resource allocation by optimizing niche specialist service availability;
- The Transitional Care Program: This program provides continuous monitoring and support after discharge to prevent rehospitalization, ensure follow-up care, and manage potential risks before complications arise [38].
- S (Senior Review): Every patient should receive a review by a senior clinician before midday. This clinician must have the authority to make care management and discharge decisions.
- A (All Patients): Each patient should be given an expected discharge date and clinical criteria for discharge, assuming an optimal recovery path with no unnecessary delays.
- F (Flow): Patient flow should begin promptly, transferring patients from assessment units to inpatient wards as early as possible.
- E (Early Discharge): The goal is for 33% of patients to be discharged from inpatient wards before noon.
- R (Review): A structured, multidisciplinary team assessment is required for patients with prolonged stays (over 7 days), with a focus on a “home first” approach.
4.4. Intervention Delivery and Adherence
4.5. Study Scheme
4.5.1. Module I
- Initial Visit: Prehabilitation—Patient Admission and Initial Assessment (21 +/− 7 days before surgery)
- Visit 1: Following Completion of Informed Consent Process
- Visit 2: Summary Prehabilitation Visit (Hospital Admission Day For Surgery)
4.5.2. Module II
- Hospitalization and Discharge (Hospital Admission Day, with follow-ups every 48 h)
4.5.3. Module III
- Postoperative Recovery (From the first day after the surgical procedure)
- Surgical Procedure and Hospitalization Assessment:
- Health Assessment: Regular monitoring of health parameters and treatment progress;
- Registration of the ICD-10 and ICD-9 procedure codes;
- Clavien–Dindo classification for complications;
- Evaluation of perioperative pharmacotherapy;
- Registration of anesthesia type;
- Monitoring of postanesthesia complications;
- Wound healing assessment via the VAS scale.
- Enhanced Recovery Protocol (early patient mobilization, bedside rehabilitation, gradual physical activation, nonstandard dietary management, additional rehabilitation support).
- Daily Red to Green assessment.
- Evaluation of family communication needs.
- The patient’s stay in the ward will adhere to the SAFER Patient Flow Bundle.
4.5.4. Module IV
- Comprehensive Discharge Support System (30-day Post-Surgery Period)
- Transitional Care Program:
- Contact with primary care providers and community nurses;
- Scheduling of oncological consilium;
- Development of discharge and long-term care recommendations.
- Reinforcement of SAFER Patient Flow Bundle standards, with coordination between the social worker and a nurse to establish optimal conditions for early discharge and ensure an individualized transitional care program.
- Monitoring and Analysis of Prolonged Hospitalizations and Rehospitalizations:
- Analysis of the reasons for PH/RH;
- Review of treatments administered;
- Assessment of therapeutic outcomes achieved;
- Evaluation of the impact on the patient’s overall condition.
- Follow-up Visit (Day 30 ± 5 after surgery)
- For an on-site follow-up visit, the histopathology results and treatment outcomes will be reviewed when applicable.
- Nutritional assessment will include anthropometric measurements (BMI and WHR), bioelectrical impedance analysis, and consultation with a clinical dietitian.
- Psychological assessment will be conducted using the HADS.
- Physical-function assessment will include handgrip strength, the six-minute walk test, FEV1, and the sit-to-stand test.
- A clinical pharmacist assessment will be performed.
5. Outcome Measures
5.1. Primary Endpoints
- Participants with prolonged index hospitalization.
- 2.
- Participants with an unplanned hospital readmission within 30 days after index hospital discharge.
- 3.
- Participants with at least one postoperative complication within 30 days after surgery.
5.2. Secondary Endpoints
- Length of hospital stay.
- 2.
- Overall health status of patients.
- 3.
- Patient satisfaction.
- 4.
- Compliance.
- 5.
- Effectiveness of Stochastic Organizational Support Network Planning.
- 6.
- Costs associated with RESET.
5.3. Study Conditions and Analytic Strategy
5.4. Sample Size
5.5. Data Collection and Validation
5.6. Statistical Methods
5.7. Protocol Compliance
5.8. Participant Confidentiality
5.9. Ethical Approval
5.10. Informed Consent
- Trial registration
6. Discussion
7. Trial Status
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| 6MWT | Six-Minute Walk Test |
| ALT | Alanine aminotransferase |
| ASA | American Society of Anesthesiologists |
| AST | Aspartate aminotransferase |
| BIA | Bioelectrical Impedance Analysis |
| BMI | Body Mass Index |
| CBC | Complete Blood Count |
| CCI | Charlson Comorbidity Index |
| FEV-1 | Forced Expiratory Volume in 1 Second |
| FT3 | Triiodothyronine |
| FT4 | Thyroxine |
| G8 | Scale for geriatric screening |
| GDP | Gross domestic product |
| GGTP | Gamma-glutamyl transpeptidase |
| HADS | Hospital Anxiety and Depression Scale |
| HDL | High-Density Lipoprotein |
| ICD-10 | 10th revision of the International Classification of Diseases |
| ICH GCP | International Council for Harmonisation Good Clinical Practice |
| LDL | Low-Density Lipoprotein |
| MMSE | Mini-Mental State Examination |
| NIS | National Inpatient Sample |
| NRS | Numeric Rating Scale |
| PH | Prolonged hospitalization |
| RH | Rehospitalization (readmission) |
| SAFER | Safe Admission Flow and Efficient Routing Protocol |
| SF-36 | 36-Item Short Form Survey |
| SOSNP | Stochastic Organizational Support Network Planning |
| TSH | Thyrotropin |
| VES | Vulnerable Elders Survey |
| WHR | Waist to Hip Ratio |
References
- Molenaar, C.J.; van Rooijen, S.J.; Fokkenrood, H.J.; Roumen, R.M.; Janssen, L.; Slooter, G.D. Prehabilitation versus no prehabilitation to improve functional capacity, reduce postoperative complications and improve quality of life in colorectal cancer surgery. Cochrane Database Syst. Rev. 2022, 5, CD013259. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Sanchez-Lorente, D.; Navarro-Ripoll, R.; Guzman, R.; Moises, J.; Gimeno, E.; Boada, M.; Molins, L. Prehabilitation in thoracic surgery. J. Thorac. Dis. 2018, 10, S2593–S2600. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Banasiewicz, T.; Kobiela, J.; Cwaliński, J.; Spychalski, P.; Przybylska, P.; Kornacka, K.; Bogdanowska-Charkiewicz, D.; Leyk-Kolańczak, M.; Borejsza-Wysocki, M.; Batycka-Stachnik, D.; et al. Recommendations on the use of prehabilitation, i.e., comprehensive preparation of the patient for surgery. Pol. Przegl. Chir. 2023, 95, 61–91. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Molenaar, C.J.L.; Minnella, E.M.; Coca-Martinez, M.; Ten Cate, D.W.G.; Regis, M.; Awasthi, R.; Martínez-Palli, G.; López-Baamonde, M.; Sebio-Garcia, R.; Feo, C.V.; et al. Effect of Multimodal Prehabilitation on Reducing Postoperative Complications and Enhancing Functional Capacity Following Colorectal Cancer Surgery: The PREHAB Randomized Clinical Trial. JAMA Surg. 2023, 158, 572–581, Correction in JAMA Surg. 2023, 158, 675. https://doi.org/10.1001/jamasurg.2023.1553. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Gillis, C.; Ljungqvist, O.; Carli, F. Prehabilitation, enhanced recovery after surgery, or both? A narrative review. Br. J. Anaesth. 2022, 128, 434–448. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lopes, A.; Yamada, A.M.T.D.; Cardenas, T.C.; de Carvalho, J.N.; Oliveira, E.d.A.; da Silva, M.E.R.; Andrade, J.F.M.; Neto, E.d.S.; Barros, L.A.D.R.; Costa, R.L.R. PROPER-PRehabilitatiOn Plus Enhanced Recovery after surgery versus enhanced recovery after surgery in gynecologic oncology: A randomized clinical trial. Int. J. Gynecol. Cancer 2022, 32, 195–197. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lambert, J.E.; Hayes, L.D.; Keegan, T.J.; Subar, D.A.; Gaffney, C.J. The Impact of Prehabilitation on Patient Outcomes in Hepatobiliary, Colorectal, and Upper Gastrointestinal Cancer Surgery: A PRISMA-Accordant Meta-analysis. Ann. Surg. 2021, 274, 70–77. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Barman, S.; Walker, R.; Knight, W.; Baker, C.; Kelly, M.; Gossage, J.; Allen, S.; Preston, S.; Sultan, J.; Rockall, T.; et al. OGC P15 Analysing the Impact of Prehabilitation on Patient Outcomes in Oesophagogastric Cancer Surgery: Combined Data from Four prospective Clinical Trials performed across the UK and Ireland. Br. J. Surg. 2023, 110, znad348-213. [Google Scholar] [CrossRef] [Scilit]
- Gillis, C.; Buhler, K.; Bresee, L.; Carli, F.; Gramlich, L.; Culos-Reed, N.; Sajobi, T.T.; Fenton, T.R. Effects of Nutritional Prehabilitation, With and Without Exercise, on Outcomes of Patients Who Undergo Colorectal Surgery: A Systematic Review and Meta-analysis. Gastroenterology 2018, 155, 391–410.e4. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Mouch, C.A.; Kenney, B.C.; Lorch, S.; Montgomery, J.R.; Gonzalez-Walker, M.; Bishop, K.; Palazzolo, W.C.; Sullivan, J.A.; Wang, S.C.; Englesbe, M.J. Statewide Prehabilitation Program and Episode Payment in Medicare Beneficiaries. J. Am. Coll. Surg. 2020, 230, 306–313.e6. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Skořepa, P.; Ford, K.L.; Prado, C.M.; Gomez, D.; Lobo, D.N. O083 The impact of prehabilitation on outcomes in frail, older adult patients undergoing major abdominal surgery: A systematic review and meta-analysis. Br. J. Surg. 2023, 110, znad101-083. [Google Scholar] [CrossRef] [Scilit]
- Marmol-Perez, A.; Corres, P.; Fernández-Escabias, M.; Carrilho-Candeias, S.; Ruiz, J.R.; Amaro-Gahete, F.J.P.; Carneiro-Barrera, A. Impact of Multidisciplinary Prehabilitation Interventions on Postoperative Hospital Length of Stay and Functional Capacity in Patients Undergoing Resection of Colorectal Cancer: A Systematic Review and Meta-analysis. Dis. Colon. Rectum 2024, 67, 1107–1119. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Barberan-Garcia, A.; Ubre, M.; Pascual-Argente, N.; Risco, R.; Faner, J.; Balust, J.; Lacy, A.; Puig-Junoy, J.; Roca, J.; Martinez-Palli, G. Post-discharge impact and cost-consequence analysis of prehabilitation in high-risk patients undergoing major abdominal surgery: Secondary results from a randomised controlled trial. Br. J. Anaesth. 2019, 123, 450–456. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Berkel, A.E.M.; Bongers, B.C.; Kotte, H.; Weltevreden, P.; de Jongh, F.H.C.; Eijsvogel, M.M.M.; Wymenga, M.; Bigirwamungu-Bargeman, M.; van der Palen, J.; van Det, M.J.; et al. Effects of Community-based Exercise Prehabilitation for Patients Scheduled for Colorectal Surgery with High Risk for Postoperative Complications: Results of a Randomized Clinical Trial. Ann. Surg. 2022, 275, e299–e306. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Carli, F.; Bousquet-Dion, G.; Awasthi, R.; Elsherbini, N.; Liberman, S.; Boutros, M.; Stein, B.; Charlebois, P.; Ghitulescu, G.; Morin, N.; et al. Effect of Multimodal Prehabilitation vs Postoperative Rehabilitation on 30-Day Postoperative Complications for Frail Patients Undergoing Resection of Colorectal Cancer: A Randomized Clinical Trial. JAMA Surg. 2020, 155, 233–242, Correction in JAMA Surg. 2020, 155, 269. https://doi.org/10.1001/jamasurg.2020.0188. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Risco, R.; González-Colom, R.; Montané-Muntané, M.; Cano, I.; Vela, E.; Sebio, R.; Dana, F.; Faner, J.; Coca, M.; Laxe, S.; et al. Actionable Factors Fostering Health Value Generation and Scalability of Prehabilitation: A Prospective Cohort Study. Ann. Surg. 2023, 278, e217–e225. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Khamar, J.; McKechnie, T.; Hatamnejad, A.; Lee, Y.; Huo, B.; Passos, E.; Sne, N.; Eskicioglu, C.; Hong, D. The modified frailty index predicts postoperative morbidity in elective hernia repair patients: Analysis of the national inpatient sample 2015–2019. Hernia 2024, 28, 517–526. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Extermann, M.; Hurria, A. Comprehensive geriatric assessment for older patients with cancer. J. Clin. Oncol. 2007, 25, 1824–1831. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kubrak, C.; Martin, L.; Grossberg, A.J.; Olson, B.; Ottery, F.; Findlay, M.; Bauer, J.D.; Jha, N.; Scrimger, R.; Debenham, B.; et al. Quantifying the severity of sarcopenia in patients with cancer of the head and neck. Clin. Nutr. 2024, 43, 989–1000. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Garla, P.; Waitzberg, D.L.; Tesser, A. Nutritional Therapy in Gastrointestinal Cancers. Gastroenterol. Clin. N. Am. 2018, 47, 231–242. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Clemente-Suárez, V.J.; Redondo-Flórez, L.; Rubio-Zarapuz, A.; Martínez-Guardado, I.; Navarro-Jiménez, E.; Tornero-Aguilera, J.F. Nutritional and Exercise Interventions in Cancer-Related Cachexia: An Extensive Narrative Review. Int. J. Environ. Res. Public Health 2022, 19, 4604. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ye, Z.; Saraf, A.; Ravipati, Y.; Hoebers, F.; Catalano, P.J.; Zha, Y.; Zapaishchykova, A.; Likitlersuang, J.; Guthier, C.; Tishler, R.B.; et al. Development and Validation of an Automated Image-Based Deep Learning Platform for Sarcopenia Assessment in Head and Neck Cancer. JAMA Netw. Open 2023, 6, e2328280. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- de Bree, R.; van Beers, M.A.; Schaeffers, A.W.M.A. Sarcopenia and its impact in head and neck cancer treatment. Curr. Opin. Otolaryngol. Head Neck Surg. 2022, 30, 87–93. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Colback, A.A.; Arkfeld, D.V.; Evangelista, L.M.; Paydar, A.; Raslan, O.; Abouyared, M.; Cates, D.J. Effect of Sarcopenia on Swallowing in Patients with Head and Neck Cancer. Otolaryngol. Head Neck Surg. 2024, 170, 1331–1337. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Weerink, L.B.M.; van der Hoorn, A.; van Leeuwen, B.L.; de Bock, G.H. Low skeletal muscle mass and postoperative morbidity in surgical oncology: A systematic review and meta-analysis. J. Cachexia Sarcopenia Muscle 2020, 11, 636–649. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Matsui, R.; Rifu, K.; Watanabe, J.; Inaki, N.; Fukunaga, T. Impact of malnutrition as defined by the GLIM criteria on treatment outcomes in patients with cancer: A systematic review and meta-analysis. Clin. Nutr. 2023, 42, 615–624. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Alaeddini, A.; Helm, J.E.; Shi, P.; Faruqui, S.H.A. An Integrated Framework for Reducing Hospital Readmissions using Risk Trajectories Characterization and Discharge Timing Optimization. IISE Trans. Healthc. Syst. Eng. 2019, 9, 172–185. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Baechle, C.; Agarwal, A.; Behara, R.S.; Zhu, X. Latent topic ensemble learning for hospital readmission cost reduction. In 2017 International Joint Conference on Neural Networks (IJCNN); IEEE: New York, NY, USA, 2017; pp. 4594–4601. [Google Scholar] [CrossRef] [Scilit]
- Henke, R.M.; Karaca, Z.; Jackson, P.; Marder, W.D.; Wong, H.S. Discharge Planning and Hospital Readmissions. Med. Care Res. Rev. 2017, 74, 345–368. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Heo, M.; Taaffe, K.; Ghadshi, A.; Teague, L.D.; Watts, J.; Lopes, S.S.; Tilkemeier, P.; Litwin, A.H. Effectiveness of Transitional Care Program among High-Risk Discharged Patients: A Quasi-Experimental Study on Saving Costs, Post-Discharge Readmissions and Emergency Department Visits. Int. J. Environ. Res. Public Health 2023, 20, 7136. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Lahijanian, B.; Alvarado, M. Care Strategies for Reducing Hospital Readmissions Using Stochastic Programming. Healthcare 2021, 9, 940. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- The National Oncology Network Act of 9 March 2023. Available online: https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20230000650 (accessed on 24 February 2024).
- Chan, A.-W.; Tetzlaff, J.M.; Gøtzsche, P.C.; Altman, D.G.; Mann, H.; Berlin, J.; Dickersin, K.; Hróbjartsson, A.; Schulz, K.F.; Parulekar, W.R.; et al. SPIRIT 2013 Explanation and Elaboration: Guidance for protocols of clinical trials. BMJ 2013, 346, e7586. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Wang, G.L.; Hsu, S.H.; Feng, A.C.; Chiu, C.Y.; Shen, J.F.; Lin, Y.J.; Cheng, C. The HADS and the DT for screening psychosocial distress of cancer patients in Taiwan. Psychooncology 2011, 20, 639–646. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Crippa, J.; Calini, G.; Santambrogio, G.; Sassun, R.; Siracusa, C.; Maggioni, D.; Mari, G. ERAS Protocol Applied to Oncological Colorectal Mini-invasive Surgery Reduces the Surgical Stress Response and Improves Long-term Cancer-specific Survival. Surg. Laparosc. Endosc. Percutan Tech. 2023, 33, 297–301. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ashok, A.; Niyogi, D.; Ranganathan, P.; Tandon, S.; Bhaskar, M.; Karimundackal, G.; Jiwnani, S.; Shetmahajan, M.; Pramesh, C.S. The enhanced recovery after surgery (ERAS) protocol to promote recovery following esophageal cancer resection. Surg. Today 2020, 50, 323–334, Correction in Surg. Today 2020, 50, 531. https://doi.org/10.1007/s00595-020-01987-8. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Ljungqvist, O.; Scott, M.; Fearon, K.C. Enhanced Recovery After Surgery: A Review. JAMA Surg. 2017, 152, 292–298. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- McGilton, K.; Vellani, S.; Krassikova, A.; Cumal, A.; Robertson, S.; Irwin, C.; Bethell, J.; Sidani, S. Enhancing Our Understanding of Transitional Care Programs. Innov. Aging 2020, 4, 136–137. [Google Scholar] [CrossRef] [Scilit]
- Quinn, S.; Connah, L.; Jones, T.; Caulfield, M.; Boyle, S.; Sevillan, R.; Jones, C.; Davidson, I. Project to Improve Flow Through Mental Health Inpatient Services. 2018. NHS England North. Available online: https://www.england.nhs.uk/north/wp-content/uploads/sites/5/2018/05/Project-to-improve-flow-through-mental-health-inpatient-services-Red2Green.pdf (accessed on 24 February 2024).
- Paiva, M.B.S.; Viana, L.d.G.; Andrade, M.V.M.d. Reduction of hospital length of stay through the implementation of SAFER patient flow bundle and Red2Green days tool: A pre–post study. BMJ Open Qual. 2024, 13, e002399. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- NHS Improvement. Rapid Improvement Guide: The SAFER Patient Flow Bundle. 2016. Available online: https://improvement.nhs.uk/resources/rapid-improvement-guide-safer-patient-flow-bundle/ (accessed on 24 February 2024).
- Faul, F.; Erdfelder, E.; Lang, A.G.; Buchner, A. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav. Res. Methods 2007, 39, 175–191. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- R Core Team. R: A Language and Environment for Statistical Computing; R Foundation for Statistical Computing: Vienna, Austria, 2024; Available online: https://www.R-project.org/ (accessed on 13 October 2024).
- Wickham, H.; Averick, M.; Bryan, J.; Chang, W.; McGowan, L.D.; François, R.; Grolemund, G.; Hayes, A.; Henry, L.; Hester, J.; et al. Welcome to the tidyverse. J. Open Source Softw. 2019, 4, 1686. [Google Scholar] [CrossRef] [Scilit]
- Sejm Rzeczypospolitej Polskiej. Ustawa z dnia 5 Grudnia 1996 r. o Zawodach Lekarza i Lekarza Dentysty (Tekst Jednolity:, Dz.U. z 2026 r. poz. 37, z późn. zm.). Internetowy System Aktów Prawnych. Available online: https://isap.sejm.gov.pl/isap.nsf/DocDetails.xsp?id=WDU20260000037 (accessed on 3 September 2026).
- Coleman, E.A.; Smith, J.D.; Frank, J.C.; Min, S.J.; Parry, C.; Kramer, A.M. Preparing patients and caregivers to participate in care delivered across settings: The Care Transitions Intervention. J. Am. Geriatr. Soc. 2004, 52, 1817–1825. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Rohatgi, N.; Kane, M.; Winget, M.; Haji-Sheikhi, F.; Ahuja, N. Factors Associated with Delayed Discharge on General Medicine Service at an Academic Medical Center. J. Healthc. Qual. 2018, 40, 329–335. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Barisonzo, R.; Wiedermann, W.; Unterhuber, M.; Wiedermann, C.J. Length of stay as risk factor for inappropriate hospital days: Interaction with patient age and co-morbidity. J. Eval. Clin. Pract. 2013, 19, 80–85. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- National Health Service. Guide to Reducing Long Hospital Stays. London. Available online: https://www.england.nhs.uk/urgent-emergency-care/reducing-length-of-stay/ (accessed on 24 February 2024).
- Gertman, P.M.; Restuccia, J.D. The appropriateness evaluation protocol: A technique for assessing unnecessary days of hospital care. Med. Care 1981, 19, 855–871. [Google Scholar] [PubMed]
- McDonagh, M.S.; Smith, D.H.; Goddard, M. Measuring appropriate use of acute beds. A systematic review of methods and results. Health Policy 2000, 53, 157–184, Correction in Health Policy 2000, 54, 163. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Buttigieg, S.C.; Abela, L.; Pace, A. Variables affecting hospital length of stay: A scoping review. J. Health Organ. Manag. 2018, 32, 463–493. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Naylor, M.; Brooten, D.; Jones, R.; Lavizzo-Mourey, R.; Mezey, M.; Pauly, M. Comprehensive discharge planning for the hospitalized elderly. A randomized clinical trial. Ann. Intern. Med. 1994, 120, 999–1006. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Jack, B.W.; Chetty, V.K.; Anthony, D.; Greenwald, J.L.; Sanchez, G.M.; Johnson, A.E.; Forsythe, S.R.; O’DOnnell, J.K.; Paasche-Orlow, M.K.; Manasseh, C.; et al. A reengineered hospital discharge program to decrease rehospitalization: A randomized trial. Ann. Intern. Med. 2009, 150, 178–187. [Google Scholar] [CrossRef] [Scilit] [PubMed]
- Kostrzewska, K.; Labunets, K.; Plisko, R.; Libura, M.; Chrobak, A. Dostęp Pacjentów Onkologicznych do Terapii Lekowych na tle Zmian Systemowych w Polsce. Raport Wrzesień 2023 Warszawa; Alivia Oncoindex: Warsaw, Poland, 2023; Available online: https://alivia.org.pl/wp-content/uploads/sites/10/2023/09/ALIVIA_oncoindex_raport_2023.pdf (accessed on 3 September 2026).

| Procedure/Activity | Module I—Visit 1 21 ± 7 Days Before Surgery | Module I—Visit 2 Hospital Admission | Module II Hospitalization and Discharge | Module III Postoperative Recovery | Module IV 30-Day Post-Surgery Period | Final Visit 30-Day Post-Surgery Follow-Up |
|---|---|---|---|---|---|---|
| Informed consent | X | |||||
| Inclusion/Exclusion Form | X | |||||
| Demographics | X | |||||
| Medical history | X | X | ||||
| Randomization | X | |||||
| RESET intervention | X | X | X | X | X | |
| Physical exam | X | X | X | X | X | X |
| Medical Laboratory Diagnostics | X | X | X | X | X | |
| Nutritional assessment | X | X | X | |||
| Psychological evaluation | X | X | X | |||
| Physiotherapy assessment | X | X | X | |||
| Clinical pharmacist assessment | X | X | X | |||
| Addiction-related re-education (if applicable) | X | |||||
| Installation of a mobile app + wristband | X | |||||
| Activity Level Evaluation | X | X | ||||
| Medical Scales Assessment | X | X | X | X | X | X |
| Treatment plan discussion | X | |||||
| Participant Satisfaction Survey | X | X | ||||
| SAFER Bundle | X | X | X | X | ||
| Red to Green | X | X | X | X | ||
| Early Mobilization Program | X | |||||
| Transitional Care Program | X | |||||
| Complete Visit Forms | X | X | X | X | X | X |
| Population | Primary Outcome | Assumed Control Risk | Detectable RESET Risk | Absolute Reduction | Odds Ratio | Relative Reduction |
|---|---|---|---|---|---|---|
| Oncology | Prolonged index hospitalization | 20.0% | 12.4% | 7.6 pp | 0.57 | 38% |
| Oncology | 30-day readmission | 12.0% | 6.2% | 5.8 pp | 0.49 | 48% |
| Oncology | Postoperative complications | 30.0% | 21.0% | 9.0 pp | 0.62 | 30% |
| Non-oncology | Prolonged index hospitalization | 15.0% | 6.7% | 8.3 pp | 0.41 | 55% |
| Non-oncology | 30-day readmission | 10.0% | 3.5% | 6.5 pp | 0.33 | 65% |
| Non-oncology | Postoperative complications | 25.0% | 14.2% | 10.8 pp | 0.50 | 43% |
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© 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
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Jędruchniewicz, N.; Klimza, H.; Zawadzki, M.; Dwornikowska-Dąbrowska, M.; Zając, B.; Klimek, T.; Kiszka, M.; Chabowski, M.; Kamińska, D.; Jankowska-Polańska, B.; et al. Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients. Methods Protoc. 2026, 9, 134. https://doi.org/10.3390/mps9050134
Jędruchniewicz N, Klimza H, Zawadzki M, Dwornikowska-Dąbrowska M, Zając B, Klimek T, Kiszka M, Chabowski M, Kamińska D, Jankowska-Polańska B, et al. Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients. Methods and Protocols. 2026; 9(5):134. https://doi.org/10.3390/mps9050134
Chicago/Turabian StyleJędruchniewicz, Natalia, Hanna Klimza, Marek Zawadzki, Mariola Dwornikowska-Dąbrowska, Bernard Zając, Tomasz Klimek, Mariusz Kiszka, Mariusz Chabowski, Dorota Kamińska, Beata Jankowska-Polańska, and et al. 2026. "Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients" Methods and Protocols 9, no. 5: 134. https://doi.org/10.3390/mps9050134
APA StyleJędruchniewicz, N., Klimza, H., Zawadzki, M., Dwornikowska-Dąbrowska, M., Zając, B., Klimek, T., Kiszka, M., Chabowski, M., Kamińska, D., Jankowska-Polańska, B., Witkiewicz, W., & Wierzbicka, M. (2026). Ready for Safe Cancer Treatment (RESET): Protocol for a Large-Scale Randomized Controlled Trial of an Integrated Perioperative Care and Safe-Discharge Pathway in Oncological and Older Surgical Patients. Methods and Protocols, 9(5), 134. https://doi.org/10.3390/mps9050134

