Effectiveness of a Smartphone App (Heia Meg) in Improving Decisions About Nutrition and Physical Activity: Prospective Longitudinal Study.

BACKGROUND: Obesity is a prevalent and serious chronic condition associated with abnormal or excessive fat buildup that poses significant health risks. The rates of overweight and obesity in adults and children continue to rise, with global rates of children with overweight or obesity aged 5-19 years growing from 4% to 18% between 1975 and 2016. Furthermore, in 2017, nearly 4 million people died due to complications arising from being overweight or obese. OBJECTIVE: This study aims to investigate the potential impact of the mobile app Heia Meg on promoting healthier lifestyle choices regarding nutrition and physical activity. METHODS: A prospective longitudinal study was conducted in collaboration with the Norwegian Directorate of Health. Participants were recruited through the Heia Meg app and were asked to complete a questionnaire before and after using the app. A total of 199 responses were included in the first (preintervention) questionnaire, while 99 valid responses were obtained in the second (postintervention) questionnaire. RESULTS: The majority (159/199, 79.9%) of participants were female, and their age ranged from 18 years to 70 years and older. The results show a reduction in BMI after the digital intervention. However, some variables influence the BMI reduction effect: sex, age, education, and smoking. The group that obtained the most benefit from the intervention consisted of those who were male, aged 30-39 years, highly educated, and nonsmokers. Although positive, some of the findings are slightly above the statistical significance threshold and therefore should be interpreted carefully. CONCLUSIONS: Our study found weak evidence to support the effectiveness of the Heia Meg app in promoting healthier lifestyle choices. However, limitations and confounding factors suggest that further research in different populations with larger sample sizes is needed to confirm or disprove our findings.

A continuous PREMs and PROMs Observatory for elective hip and knee arthroplasty: study protocol.

INTRODUCTION: Scholars, healthcare practitioners and policymakers have increasingly focused their attention on patient-centredness. Patient-reported metrics support patient-driven improvement actions in healthcare systems. Despite the great interest, patient-reported outcome measures (PROMs) are still not extensively collected in many countries and not integrated with the collection of patient-reported experience measures (PREMs). This protocol describes the methodology behind an innovative observatory implemented in Tuscany, Italy, aiming at continuously and longitudinally collecting PROMs and PREMs for elective hip and knee total replacement. METHODS AND ANALYSIS: The Observatory is digital. Enrolled patients are invited via SMS or email to online questionnaires, which include the Oxford Hip Score or the Oxford Knee Score. Data are real-time reported to healthcare professionals and managers in a raw format, anonymised and aggregated on a web platform. The data will be used to investigate the relationship between the PROMs trend and patients' characteristics, surgical procedure, hospital characteristics, and PREMs. Indicators using patient data will be computed, and they will integrate the healthcare performance evaluation system adopted in Tuscany. ETHICS AND DISSEMINATION: The data protection officers of local healthcare organisations and the regional privacy office framed the initiative referring to the national and regional guidelines that regulate patient surveys. The findings will be reported both in real time and for publication in peer-reviewed journals.

The Impact of New Surgical Techniques on Geographical Unwarranted Variation: The Case of Benign Hysterectomy.

Since the 1980s, the international literature has reported variations for healthcare services, especially for elective ones. Variations are positive if they reflect patient preferences, while if they do not, they are unwarranted, and thus avoidable. Benign hysterectomy is among the most frequent elective surgical procedures in developed countries, and, in recent years, it has been increasingly delivered through minimally invasive surgical techniques, namely laparoscopic or robotic. The question therefore arises over what the impact of these new surgical techniques on avoidable variation is. In this study we analyze the extent of unwarranted geographical variation of treatment rates and of the adoption of minimally invasive procedures for benign hysterectomy in an Italian regional healthcare system. We assess the impact of the surgical approach on the provision of benign hysterectomy, in terms of efficiency (by measuring the average length of stay) and efficacy (by measuring the post-operative complications). Geographical variation was observed among regional health districts for treatment rates and waiting times. At a provider level, we found differences for the minimally invasive approach. We found a positive and significant association between rates and the percentage of minimally invasive procedures. Providers that frequently adopt minimally invasive procedures have shorter average length of stay, and when they also perform open hysterectomies, fewer complications.

Implementing successful systematic Patient Reported Outcome and Experience Measures (PROMs and PREMs) in robotic oncological surgery-The role of physicians.

Patient Reported Outcome and Experience Measures (PROMs and PREMs) play an increasingly important role in monitoring the quality of the oncological pathway. The aim of this study is to describe the case of five hospitals a year after the adoption of PROMs and PREMs for robotic oncological colorectal surgery in Tuscany and to investigate how the clinicians can impact the process of implementation and the efficacy of such measures. We used 14 months of data from the five robotic centers in Tuscany. Above all, the physician's personal motivation to improve the treatment of patients, the teamwork, and the possibility to use data for research purposes proved to be the essential factors for their engagement and the successful implementation of patient reported measures. Physicians play a key role in the adoption of systematic PROMs and PREMs. The higher their level of engagement, the higher the collection success, both in terms of number of patients enrolled and response rates. Moreover, the collection of patient reported measures may become part of physicians' daily practice and may lead to a change in their relationship and communication with patients, as clinicians accept to have their job reviewed and are not afraid to be evaluated by their patients.

Decision making tools for managing waiting times and treatment rates in elective surgery.

BACKGROUND: Waiting times for elective treatments, including elective surgery, are a source of public concern and therefore are on policy makers' agenda. The long waiting times have often been tackled through the allocation of additional resources, in an attempt to reduce them, but results are not straightforward. At the same time, researchers have reported wide geographical variations in the provision of elective care not driven by patient needs or preferences but by other factors. The paper analyses the relationship between waiting times and treatment rates for nine high-volume elective surgical procedures in order to support decision making regarding the availability of these services for the citizens. Using the framework already proposed for the diagnostic services, we identify different patterns that can be followed to align the supply with patient needs in the Italian context. METHODS: After measuring the waiting times and the treatment rates for nine procedures in the 34 districts in Tuscany, we performed correlation analyses. Then, we plotted the results in a matrix cross-checking waiting times and rates. By doing so, we identified four different contexts that require a second step analysis to tackle unwarranted geographical variations and ensure timely care to patients. Finally, for each district and elective surgical procedure, we measured the economic impact of the different treatment rates in order to evaluate whether there are any supply criticalities and eventually some room for maneuver. We also included active and passive mobility of patients. RESULTS: The results show a high degree of variation both in treatment rates and waiting times, especially for the orthopaedic procedures: knee replacement, knee arthroscopy and hip replacement. The analysis performed for the nine interventions shows that the 34 districts are in varying positions in the waiting time-treatment rate matrix, suggesting that there is no straightforward relationship between rates and waiting times. Each combination in the matrix may have different determinants that require healthcare managers to adopt diversified strategies. The decision making process needs to be supported by a two-level analysis: the first one to put in place the matrix that cross-checks waiting times and treatment rates, the second one to analyse the characteristics of each quadrant and the improvement actions that can be proposed. CONCLUSIONS: In Italy, waiting times in elective surgical services are a main policy issue with a relevant geographical variation. Our analysis reveals that this variation is due to multiple elements. In order to avoid simplistic approaches that do not solve the problem but often lead to increased expenditure, policy makers and healthcare managers should follow a two-step strategy firstly identifying the type of context and secondly analysing the impact of elements such as resource productivity, resource availability, patients' preferences and care appropriateness. Only in some cases it is required to increase the service supply.