Critical pathways for continuous quality improvement: a multicentric analysis on the management of patients with lung cancer in Italian best performing hospitals.

Introduction: Critical pathways (CPs) are effective change management tools used to improve quality in healthcare nationally implemented in Italy in 2015. This study aims to map the country's state-of-the-art regarding the adoption of CPs and to verify the existence of factors that determine the success of their implementation and the relative entity of their impact, by analysing the management of Lung Cancer (LC) as a case-study. Methods: Our methodology followed the SQUIRE guidelines for quality improvement reporting (2015). Starting from the 2017 ranking table published by the National Outcome Program, we selected and included in our sample all Italian hospitals who, according to Ministerial Decree n. 70/2015, met national quality threshold for LC treatment. To investigate regional-level and hospital-level factors believed to be responsible for the successful implementation of a CP, a Google Modules questionnaire was constructed and sent to the selected facilities; subsequently, a web-based research was carried out for missing data. Associations between variables were tested in STATA by means of correlation tests and a linear regression model. Results: 41 hospitals matched our inclusion criteria. Of these, 68% defined an internal Lung Cancer Critical Pathway (LCCP). Our results confirmed the presence of critical success factors that favour the correct implementation of a LCCP. Conclusions: Notwithstanding the availability of CPs, their adoption in routine clinical practice still lacks consistency, suggesting the necessity to resort to digital solutions, to increment the level of regional commitment and workforce commitment and to reinforce quality standards monitoring.

Quantification of nursing care and creation of economic indicators: an observational study protocol.

BACKGROUND: The literature on hospital admissions costs shows that classification of hospitalization systems such as the DRG system used in Italy, do not reflect the real cost of the production factors used, including those of nursing care in relation to the complexity of the hospital effort. OBJECTIVE: This concept paper outlines the study protocol and the methodology used to measure nursing care in economic terms. The objective of the study is developed on the assumption of creating economic indicators from a quantitative analysis of nursing activities provided to specific patients, in order to determine not only who costs but also the reasons for the cost, and demonstrate the variability of nursing not only for DRG, but also each individual patient. METHODS: A retrospective study and a longitudinal prospective study will be performed. In the first phase of the study, using a bottom-up Microcosting methodology the type, volume, time and costs of nursing activities for DRG will be determined and the incidence of nursing costs on reimbursement will be highlighted.In the second phase, the above analysis will be supplemented by the recognition of the complexity of individual cases measured through the Corridor Triage(Tri-CO), in order to figure out the incidence of costs of nursing activities on the reimbursement in relation to the level of care complexity. Main sources of data: hospital discharge card (SDO); Professional Assessment Instrument (PAI); datasets for collecting the time of delivery of nursing activities on PAI. Power calculation: For retrospective study, the survey will be conducted on a sample of 150 patients hospitalized in the first quarter of 2016. For the longitudinal prospective study, 150 patients will be included in the first quarter of 2017 after the structured introduction of Tri-CO as a valuation tool of care complexity. The sample examined is approximately 30% of the total number of admissions per year. RESULTS: The study started in February 2016 and the results are expected for May 2017. Through this study it is expected to verify whether by implementing a unbundling approach, ie the "unpacking" of the production factors (nursing activity costs) used for the explication of hospitalization, and by adopting a methodology based on standard analytical costs, a more detailed knowledge of the overall DRG rate data available today will be obtained, which is currently lacking of explicit notation of all the amounts that make up it.