Evaluating hepatitis C cascade of care surveillance system in Tuscany, Italy, through a population retrospective data-linkage study, 2015-2021.

This comprehensive retrospective data-linkage study aimed at evaluating the impact of Direct-Acting Antivirals (DAAs) on Hepatitis C Virus (HCV) testing, treatment trends, and access to care in Tuscany over six years following their introduction. Utilizing administrative healthcare records, our work reveals a substantial increase in HCV tests in 2017, attributed to the decision to provide universal access to treatment. However, despite efforts to eradicate chronic HCV through a government-led plan, the target of treating 6,221 patients annually was not met, and services contracted after 2018, exacerbated by the COVID-19 pandemic. Key findings indicate a higher prevalence of HCV screening among females in the 33-53 age group, influenced by pregnancy-related recommendations, while diagnostic tests and treatment uptake were more common among males. Problematic substance users constituted a significant proportion of those tested and treated, emphasizing their priority in HCV screening. Our paper underscores the need for decentralized HCV models and alternative testing strategies, such as point-of-care assays, especially in populations accessing harm reduction services, communities, and prisons. The study acknowledges limitations in relying solely on administrative records, advocating for improved data access and timely linkages to accurately monitor HCV care cascades and inform regional plans. Despite challenges, the paper demonstrates the value of administrative record linkages in understanding the access to care pathway for hard-to-reach populations. The findings emphasize the importance of the national HCV elimination strategy and the need for enhanced data collection to assess progress accurately, providing insights for future regional and national interventions.

Monitoring the appropriate prescription of low molecular weight heparins and Fondaparinux through administrative data. A retrospective observational study in the Tuscany region.

INTRODUCTION: Low Molecular Weight Heparins (LMWHs) and Fondaparinux have been widely used as anticoagulants. Mass prescription may lead to prescriptive inappropriateness, which causes Heparin-induced thrombocytopenia and other side effects. OBJECTIVES: The study investigates the appropriate prescription of LMWHs and Fondaparinux in Tuscany. We aim to validate the crude measure of prescription appropriateness of the Key Performance Indicator (KPI) "Patients treated with LMWHs and Fondaparinux every hundred residents in Tuscany" as a proxy for monitoring prescription appropriateness. METHODS: To compare a crude KPI based only on drug consumption with a refined KPI based on exclusions listed in the clinical guidelines, a retrospective observational cohort study was carried out, using the RECORD guidelines for the year 2019. The refined indicator is computed via record linkage of different datasets regarding (a) pharmaceutical services; (b) hospital discharge records; (c) outpatient services; and (d) birth certificates. We apply exclusion criteria to identify the cohort of patients. Values of the KPI are compared, by ranking, with those obtained from its refined version. A Spearman test was performed to validate the use of the crude KPI as a proxy. RESULTS: 208,717 LMWH and Fondaparinux users are identified, of which 103,299 fall within the study's inclusion criteria. 16,817 (16%) of LMWHs and Fondaparinux users are classified as high consumption. The refined version of the KPI produces the same ranking results in terms of local health districts (rho = 0.98 p<0.01). CONCLUSIONS: Although the crude KPI is less refined and detailed than the adjusted indicator computed by our study, it has proven capable to provide an accurate snapshot of the use of these drugs across the region. This analysis is useful to enable regional and local managers to run rapid and simple indicators to monitor the appropriateness of LMWHs and Fondaparinux. This analysis should be reviewed periodically to confirm its accuracy.

Presence and Role of Associations of Cancer Patients and Volunteers in Specialist Breast Centres: An Italian National Survey of Breast Centres Associated with Senonetwork.

This article aims to present the results of a national, cross-sectional, voluntary, online survey on the presence and roles of associations of breast cancer patients and volunteers in Italian specialist breast centres. The survey was developed according to standard methods. The questionnaire was pre-tested by a random sample of three breast centres, loaded onto the SurveyMonkey platform, and piloted by one volunteer breast centre. The breast centre clinical leads were invited to participate via email. A link to the online instrument was provided. No financial incentives were offered. The results were reported using standard descriptive statistics. The response rate was 82/128 (65%). Members of associations were routinely present in 70% Italian breast centres. Breast centres most often reporting their presence were those certified by the European Society of Breast Cancer Specialists. Patient support (reception and information, listening, identification of needs, and psychological support) was the primary area where associations were reported to offer services. The magnitude of this phenomenon warrants a study to investigate the impact of the activities of associations on the quality of life of patients and on the cost-benefit ratio of the service, and the modes of their interactions with the nursing staff and the medical staff.

The Function of Bed Management in Pandemic Times-A Case Study of Reaction Time and Bed Reconversion.

The last decade was characterized by the reduction in hospital beds throughout Europe. When facing the COVID pandemic, this has been an issue of major importance as hospitals were seriously overloaded with an unexpected growth in demand. The dichotomy formed by the scarcity of beds and the need for acute care was handled by the Bed Management (BM) function. This case study explores how BM was able to help the solidness of the healthcare system, managing hospital beds at best and recruiting others in different settings as intermediate care in a large Local Health Authority (LHA) in central Italy. Administrative data show how the provision of appropriate care was achieved by recruiting approximately 500 beds belonging to private healthcare facilities affiliated with the regional healthcare system and exercising the best BM function. The ability of the system to absorb the extra demand caused by COVID was made possible by using intermediate care beds, which were allowed to stretch the logistic boundaries of the hospitals, and by the promptness of Bed Management in converting beds into COVID beds and reconverting them, and by the timely management of internal patient logistics, thus creating space according to the healthcare demands.

Analyzing the emotional impact of COVID-19 with Twitter data: Lessons from a B-VAR analysis on Italy.

The novel coronavirus 2019 revolutionized the way of living and the communication of people making social media a popular tool to express concerns and perceptions. Starting from this context we built an original database based on the Twitter users' emotions shown in the early weeks of the pandemic in Italy. Specifically, using a single index we measured the feelings of four groups of stakeholders (journalists, people, doctors, and politicians), in three groups of Italian regions (0,1,2), grouped according to the impact of the COVID-19 crises as defined by the Conte Government Ministerial Decree (8th March 2020). We then applied B-VAR techniques to analyze the sentiment relationships between the groups of stakeholders in every Region Groups. Results show a high influence of doctors at the beginning of the epidemic in the Group that includes most of Italian regions (Group 0), and in Lombardy that has been the region of Italy hit the most by the pandemic (Group 2). Our outcomes suggest that, given the role played by stakeholders and the COVID-19 magnitude, health policy interventions based on communication strategies may be used as best practices to develop regional mitigation plans for the containment and contrast of epidemiological emergencies.

Tracking the digital health gap in elderly: A study in Italian remote areas.

The Covid-19 pandemic has provided a major innovative thrust to public services regarding their digitization to continue providing an effective response to the population's needs and to reduce management costs. However, there has been a partial lack of those welfare policies that can provide an adequate response to the elderly segment of the population, which is most affected by the introduction of new technologies into the public sphere. This study analyses the digital gap in health in the elderly living in remote areas of Italy and investigates the use of digital devices for health purposes. It compares the use of digital solutions for health with people's common digital competencies and their willingness to use them. A descriptive analysis of the sample was constructed to verify the different responses of the elderly by age, gender, educational qualification, and geographic area. Furthermore, regression analyses have been conducted to test whether there is any dependent effect among the elderly's characteristics or geographic areas. The results highlight the existence of a potential digital health gap among the elderly in remote areas of Italy both due to infrastructural issues and the lack of digital skills. The latter are positively correlated with educational qualification, such that it is also possible to highlight differences between age groups analysed and shape future welfare policies to reduce digital inequality.

The management of healthcare employees' job satisfaction: optimization analyses from a series of large-scale surveys.

BACKGROUND: Measuring employees' satisfaction with their jobs and working environment have become increasingly common worldwide. Healthcare organizations are not extraneous to the irreversible trend of measuring employee perceptions to boost performance and improve service provision. Considering the multiplicity of aspects associated with job satisfaction, it is important to provide managers with a method for assessing which elements may carry key relevance. Our study identifies the mix of factors that are associated with an improvement of public healthcare professionals' job satisfaction related to unit, organization, and regional government. Investigating employees' satisfaction and perception about organizational climate with different governance level seems essential in light of extant evidence showing the interconnection as well as the uniqueness of each governance layer in enhancing or threatening motivation and satisfaction. METHODS: This study investigates the correlates of job satisfaction among 73,441 employees in healthcare regional governments in Italy. Across four cross sectional surveys in different healthcare systems, we use an optimization model to identify the most efficient combination of factors that is associated with an increase in employees' satisfaction at three levels, namely one's unit, organization, and regional healthcare system. RESULTS: Findings show that environmental characteristics, organizational management practices, and team coordination mechanisms correlates with professionals' satisfaction. Optimization analyses reveal that improving the planning of activities and tasks in the unit, a sense of being part of a team, and supervisor's managerial competences correlate with a higher satisfaction to work for one's unit. Improving how managers do their job tend to be associated with more satisfaction to work for the organization. CONCLUSIONS: The study unveils commonalities and differences of personnel administration and management across public healthcare systems and provides insights on the role that several layers of governance have in depicting human resource management strategies.

Value of Including the Children's Experience for Improving Their Rights During Hospitalization: Protocol for the VoiCEs Project.

BACKGROUND: Users' feedback is a key asset for organizations that want to improve their services. Studying how organizations are enabling their users to participate in evaluation activities is particularly important, especially when there are vulnerable or disadvantaged people, and the services to be evaluated can be life-changing. This is the case in the coassessment by pediatric patients experiencing hospital stay. The international literature reports a few attempts and several challenges in systematically collecting and using the pediatric patient experience with respect to hospitalization, to undertake quality improvement actions. OBJECTIVE: This paper describes the research protocol of a European project intended to develop and implement a systematic pediatric patient-reported experience measures (PREMs) observatory that will be shared by 4 European children's hospitals in Finland, Italy, Latvia, and the Netherlands. METHODS: The VoiCEs (Value of including the Children's Experience for improving their rightS during hospitalization) project uses a participatory action research approach, based on a mixture of qualitative and quantitative methods. It consists of 6 different phases, including a literature review, an analysis of the previous experiences of pediatric PREMs reported by project partners, a Delphi process, a cycle of focus groups or in-depth interviews with children and their caregivers, a series of workshops with interactive working groups, and a cross-sectional observational survey. The project guarantees the direct participation of children and adolescents in the development and implementation phases of the project. RESULTS: The expected results are (1) a deeper knowledge of published methodologies and tools on collecting and reporting pediatric patients' voice; (2) lessons learnt from the analysis of previous experiences of pediatric PREMs; a consensus reached through a participatory process (3) among experts, (4) pediatric patients and caregivers about a standard set of measures for the evaluation of hospitalization by patients; (5) the implementation of a European observatory on pediatric PREMs; and (6) the collection and comparative reporting of the pediatric patients' voice. In addition, the project is aimed at studying and proposing innovative methodologies and tools for capturing the pediatric patients' feedback directly, avoiding the intermediation of parents/guardians. CONCLUSIONS: Over the last decade, the collection and use of PREMs have gained importance as a research field. Children and adolescents' perspectives have also been increasingly taken into consideration. However, to date, there are limited experiences regarding the continuous and systematic collection and use of pediatric PREMs data for implementing timely improvement actions. In this perspective, the VoiCEs project provides room for innovation, by contributing to the creation of an international, continuous, and systematic pediatric PREMs observatory that can be joined by other children's hospitals or hospitals with pediatric patients, and foresees the return of usable and actionable data in benchmarking. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/42804.

Regional practice variation in pelvic organ prolapse surgery in Tuscany, Italy: a retrospective cohort study on administrative health data.

OBJECTIVES: To explore determinants of practice variation in both access, and quality and efficiency of surgical care for pelvic organ prolapse (POP). DESIGN AND SETTING: A retrospective cohort study employing administrative health data from the Tuscany region, Italy. PARTICIPANTS: All women over 40 years hospitalised for apical/multicompartmental POP reconstructive surgery (excluding anterior/posterior colporrhaphy without concomitant hysterectomy) from January 2017 to December 2019. OUTCOMES: We first computed treatment rates just for women residing in Tuscany (n=2819) and calculated the Systematic Component of Variation (SCV) to explore variation in access to care among health districts. Then, using the full cohort (n=2959), we ran multilevel models for the average length of stay and reoperations, readmissions and complications, and computed the intraclass correlation coefficient to assess the individual and hospital determinants of efficiency and quality of care provided by hospitals. RESULTS: The 5.4-fold variation between the lowest-rate (56/100 000 inhabitants) and the highest-rate (302/100 000) districts and the SCV over 10% confirmed high systematic variation in the access to care. Higher treatment rates were driven by greater provisions of robotic and/or laparoscopic interventions, which showed highly variable usage rates. Both individual and hospital factors influenced quality and efficiency provided by hospitals, but just low proportions of variation were explained by hospital and patient characteristics. CONCLUSIONS: We found high and systematic variation in the access to POP surgical care in Tuscany and in quality and efficiency provided by hospitals. Such a variation may be mainly explained by user and provider preferences, which should be further explored. Also, supply-side factors may be involved, suggesting that wider and more uniform dissemination of robotic/laparoscopic procedures may reduce variation.

Driving time drives the hospital choice: choice models for pelvic organ prolapse surgery in Italy.

OBJECTIVE: The Italian healthcare jurisdiction promotes patient mobility, which is a major determinant of practice variation, thus being related to the equity of access to health services. We aimed to explore how travel times, waiting times, and other efficiency- and quality-related hospital attributes influenced the hospital choice of women needing pelvic organ prolapse (POP) surgery in Tuscany, Italy. METHODS: We obtained the study population from Hospital Discharge Records. We duplicated individual observations (n = 2533) for the number of Tuscan hospitals that provided more than 30 POP interventions from 2017 to 2019 (n = 22) and merged them with the hospitals' list. We generated the dichotomous variable "hospital choice" assuming the value one when hospitals where patients underwent surgery coincided with one of the 22 hospitals. We performed mixed logit models to explore between-hospital patient choice, gradually adding the women's features as interactions. RESULTS: Patient choice was influenced by travel more than waiting times. A general preference for hospitals delivering higher volumes of interventions emerged. Interaction analyses showed that poorly educated women were less likely to choose distant hospitals and hospitals providing greater volumes of interventions compared to their counterpart. Women with multiple comorbidities more frequently chose hospitals with shorter average length of stay. CONCLUSION: Travel times were the main determinants of hospital choice. Other quality- and efficiency-related hospital attributes influenced hospital choice as well. However, the effect depended on the socioeconomic and clinical background of women. Managers and policymakers should consider these findings to understand how women behave in choosing providers and thus mitigate equity gaps.

Higher readability of institutional websites drives the correct fruition of the abortion pathway: A cross-sectional study.

BACKGROUND: In Italy, abortion services are public: therefore, health Institutions should provide clear and easily readable web-based information. We aimed to 1) assess variation in abortion services utilisation; 2) analyse the readability of institutional websites informing on induced abortion; 3) explore whether easier-to-read institutional websites influenced the correct fruition of abortion services. METHODS: We identified from the 2021 administrative databases of Tuscany all women having an abortion, and-among them-women having an abortion with the certification provided by family counselling centres, following the pathway established by law. We assessed variation in total and certified abortion rates by computing the Systematic Component of Variation. We analysed the readability of the Tuscan health authorities' websites using the readability assessment tool READ-IT. We explored how institutional website readability influenced the odds of having certified abortions by running multilevel logistic models, considering health authorities as the highest-level variables. RESULTS: We observed high variation in the correct utilization of the abortion pathway in terms of certified abortion rates. The READ-IT scores showed that the most readable text was from the Florence Teaching Hospital website. Multilevel models revealed that higher READ-IT scores, corresponding to more difficult texts, resulted in lower odds of certified abortions. CONCLUSIONS: Large variation in the proper fruition of abortion pathways occurs in Tuscany, and such variation may depend on readability of institutional websites informing on induced abortion. Therefore, health Institutions should monitor and improve the readability of their websites to ensure proper and more equitable access to abortion.

Does the healthcare system know what to cut under the pandemic emergency pressure? An observational study on geographic variation of surgical procedures in Italy.

OBJECTIVES: During 2020 many countries reduced the number of elective surgeries to free up beds and cope with the COVID-19 outbreak. This situation led healthcare systems to prioritise elective interventions and reduce the overall volumes of treatments.The aim of this paper is to analyse whether the pandemic and the prioritisation policies on elective surgery were done considering the potential inappropriateness highlighted by the measurement of geographic variation. SETTING: The setting of the study is acute care with a focus on elective surgical procedures. Data were analysed at the Italian regional level. PARTICIPANTS: The study is observational and relies on national hospitalisation records from 2019 to 2020. The analyses refer to the 21 Italian regional health systems, using 48 917 records for 2019 and 33 821 for 2020. The surgical procedures analysed are those considered at high risk of unwarranted variation: coronary angioplasty, cholecystectomy, colectomy, knee replacement, hysterectomy, tonsillectomy, hip replacement and vein stripping. PRIMARY AND SECONDARY OUTCOME MEASURES: Primary measures were the hospitalisation rate and its reduction per procedure, to understand the level of potential inappropriateness. Secondary measures were the SD and high/low ratio, to map the level of geographic variation. RESULTS: For some procedures, there is a linear negative relationship (eg, tonsillectomy: ρ = -0.92, p<0.01; vein stripping: ρ = -0.93, p<0.01) between the reduction in hospitalisation and its starting point. The only two procedures for which no significant differences were registered are cholecystectomy (ρ = -0.22, p=0.31) and hysterectomy (ρ = -0.22, p=0.33). In particular, in all cases, data show that regions with higher 2019 hospitalisation rates registered a larger reduction. CONCLUSIONS: The Italian data show that the pandemic seems to have led hospital managers and health professionals to cut surgical interventions more likely to be inappropriate. Hence, these findings can inform and guide the healthcare system to manage unwarranted variation when coming back to the new normal. This new starting point (lower volumes in some selected elective surgical procedures) should be used to plan elective surgical treatments that can be cancelled because of their high risk of inappropriateness.

The experiences of 33 national COVID-19 dashboard teams during the first year of the pandemic in the World Health Organization European Region: A qualitative study.

Background: Governments across the World Health Organization (WHO) European Region have prioritised dashboards for reporting COVID-19 data. The ubiquitous use of dashboards for public reporting is a novel phenomenon. Objective: This study explores the development of COVID-19 dashboards during the first year of the pandemic and identifies common barriers, enablers and lessons from the experiences of teams responsible for their development. Methods: We applied multiple methods to identify and recruit COVID-19 dashboard teams, using a purposive, quota sampling approach. Semi-structured group interviews were conducted from April to June 2021. Using elaborative coding and thematic analysis, we derived descriptive and explanatory themes from the interview data. A validation workshop was held with study participants in June 2021. Results: Eighty informants participated, representing 33 national COVID-19 dashboard teams across the WHO European Region. Most dashboards were launched swiftly during the first months of the pandemic, February to May 2020. The urgency, intense workload, limited human resources, data and privacy constraints and public scrutiny were common challenges in the initial development stage. Themes related to barriers or enablers were identified, pertaining to the pre-pandemic context, pandemic itself, people and processes and software, data and users. Lessons emerged around the themes of simplicity, trust, partnership, software and data and change. Conclusions: COVID-19 dashboards were developed in a learning-by-doing approach. The experiences of teams reveal that initial underpreparedness was offset by high-level political endorsement, the professionalism of teams, accelerated data improvements and immediate support with commercial software solutions. To leverage the full potential of dashboards for health data reporting, investments are needed at the team, national and pan-European levels.

Integrating mammography screening programmes into specialist breast centres in Italy: insights from a national survey of Senonetwork breast centres.

BACKGROUND: Despite recommendations, mammography screening is often insufficiently integrated into specialist breast centres. A national, cross-sectional, voluntary, online survey on this issue was carried out among the Italian breast centres associated with Senonetwork, the Italian network of breast cancer services. METHODS: A 73-item questionnaire was created, pre-tested and piloted. Centres integrating and not integrating a screening programme were compared using the unified theory of acceptance and use of technology (UTAUT) model. Centres' clustering was performed using the Gower's distance metric. Groups and clusters were compared with the equality-of-means test. RESULTS: The response rate was 82/128 (65%). Overall, 84% (69/82) breast centres reported a collaboration with a screening programme in performing and/or reading mammograms and in the diagnostic work-up of women with abnormal screening results. The same proportion was observed among those centres responding to all questions (62/74). Performance expectancies (or the perceived usefulness of integration in terms of clinical quality, patient convenience, ease of job, and professional growth), satisfaction and motivation were higher in those centres collaborating with the screening programme. Effort expectancy indicators (or the degree to which the respondents believe that the integration is easy to implement) and those concerning the existence of facilitating conditions were lower both in centres collaborating and not collaborating with the screening programme. Among the former, six clusters of centres, distributed from 'no integration' to 'high', were identified. In cluster analysis, the highest level of integration was associated with higher agreement that integration eases the job, offers better opportunities for professional growth, and makes the working environment more satisfactory. The least integrated cluster assigned the lowest score to the statement that local health authority made available the resources needed. CONCLUSIONS: While confirming the positive effects of integrating screening programmes into breast centres, this survey has brought to light specific difficulties that must be faced. The results provide insights into the importance of integration focusing on the perspectives of professional career and motivation. The deficiency of facilitating conditions to integration is modifiable. Screening professionals' societies may have a role as initiators of the integration. Other supporting actions may be included in health laws at the national and regional level.

Changes in Acute Myocardial Infarction, Stroke, and Heart Failure Hospitalizations During COVID-19 Pandemic in Tuscany-An Interrupted Time Series Study.

Objectives: We evaluate the impact of the COVID-19 pandemic on unplanned hospitalization rates for patients without COVID-19, including their length of stay, and in-hospital mortality, overall, and for acute myocardial infarction (AMI), stroke, and heart failure in the Tuscany region of Italy. Methods: We carried out a population-based controlled interrupted time series study using segmented linear regression with an autoregressive error term based on admissions data from all public hospitals in Tuscany. The primary outcome measure was weekly hospitalization rates; secondary outcomes included length of stay, and in-hospital mortality. Results: The implementation of the pandemic-related mitigation measures and fear of infection was associated with large decreases in inpatient hospitalization rates overall (-182 [-234, -130]), unplanned hospitalization (-39 [-51, -26]), and for AMI (-1.32 [-1.98, -0.66]), stroke (-1.51 [-2.56, -0.44]), and heart failure (-8.7 [-11.1, -6.3]). Average length of stay and percent in-hospital mortality for select acute medical conditions did not change significantly. Conclusion: In Tuscany, Italy, the COVID-19 pandemic was associated with large reductions in hospitalization rates overall, as well as for heart failure, and the time sensitive conditions of AMI and stroke during the months January to July 2020.

Decision-Making Algorithm and Predictive Model to Assess the Impact of Infectious Disease Epidemics on the Healthcare System: The COVID-19 Case Study in Italy.

To improve decision-making strategies and prediction based on epidemiological data, so far biased by highly-variable criteria, algorithms using unbiased morbidity parameters, i.e. Intensive Care Units (ICU) and Ordinary Hospitalizations (OH), are proposed. ICU/OH acceleration and velocities are mathematically modeled using available and official data to derive two thresholds, alerting on 30 % ICU and 40 % OH of COVID-19 daily occupancy settled by the Italian Minister of Health, as a case of study. A predictive model is also proposed to estimate the daily occupancy of ICU and OH in hospitals for each region, using a Susceptible-Infected-Recovered-Death (SIRD) epidemic model to further extend occupancy prediction in each regional district. Computed data validated the proposed models in Italy after almost two years of pandemic, obtaining agreements with the Italian Presidential Decree regardless of the different regional trends of epidemic waves. Therefore, the decision-making algorithm and prediction model resulted valuable tools, retrospectively, to be tested prospectively in sustainable strategies to curb the impact of COVID-19, or of any other pandemic threats with any aggregate of data, on local healthcare systems.

A Comparison of Census and Cohort Sampling Models for the Longitudinal Collection of User-Reported Data in the Maternity Care Pathway: Mixed Methods Study.

BACKGROUND: Typical measures of maternity performance remain focused on the technical elements of birth, especially pathological elements, with insufficient measurement of nontechnical measures and those collected pre- and postpartum. New technologies allow for patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) to be collected from large samples at multiple time points, which can be considered alongside existing administrative sources; however, such models are not widely implemented or evaluated. Since 2018, a longitudinal, personalized, and integrated user-reported data collection process for the maternal care pathway has been used in Tuscany, Italy. This model has been through two methodological iterations. OBJECTIVE: The aim of this study was to compare and contrast two sampling models of longitudinal user-reported data for the maternity care pathway, exploring factors influencing participation, cost, and suitability of the models for different stakeholders. METHODS: Data were collected by two modes: (1) "cohort" recruitment at the birth hospital of a predetermined sample size and (2) continuous, ongoing "census" recruitment of women at the first midwife appointment. Surveys were used to collect experiential and outcome data related to existing services. Women were included who passed 12 months after initial enrollment, meaning that they either received the surveys issued after that interval or dropped out in the intervening period. Data were collected from women in Tuscany, Italy, between September 2018 and July 2020. The total sample included 7784 individuals with 38,656 observations. The two models of longitudinal collection of user-reported data were analyzed using descriptive statistics, survival analysis, cost comparison, and a qualitative review. RESULTS: Cohort sampling provided lower initial participation than census sampling, although very high subsequent response rates (87%) were obtained 1 year after enrollment. Census sampling had higher initial participation, but greater dropout (up to 45% at 1 year). Both models showed high response rates for online surveys. There were nonproportional dropout hazards over time. There were higher rates of dropout for women with foreign nationality (hazard ratio [HR] 1.88, P<.001), and lower rates of dropout for those who had a higher level of education (HR 0.77 and 0.61 for women completing high school and college, respectively; P<.001), were employed (HR 0.87, P=.01), in a relationship (HR 0.84, P=.04), and with previous pregnancies (HR 0.86, P=.002). The census model was initially more expensive, albeit with lower repeat costs and could become cheaper if repeated more than six times. CONCLUSIONS: The digital collection of user-reported data enables high response rates to targeted surveys in the maternity care pathway. The point at which pregnant women or mothers are recruited is relevant for response rates and sample bias. The census model of continuous enrollment and real-time data availability offers a wider set of potential benefits, but at an initially higher cost and with the requirement for more substantial data translation and managerial capacity to make use of such data.

An integrated hospital-district performance evaluation for communicable diseases in low-and middle-income countries: Evidence from a pilot in three sub-Saharan countries.

INTRODUCTION: The last two decades saw an extensive effort to design, develop and implement integrated and multidimensional healthcare evaluation systems in high-income countries. However, in low- and middle-income countries, few experiences of such systems implementation have been reported in the scientific literature. We developed and piloted an innovative evaluation tool to assess the performance of health services provision for communicable diseases in three sub-Saharan African countries. MATERIAL AND METHODS: A total of 42 indicators, 14 per each communicable disease care pathway, were developed. A sub-set of 23 indicators was included in the evaluation process. The communicable diseases care pathways were developed for Tuberculosis, Gastroenteritis, and HIV/AIDS, including indicators grouped in four care phases: prevention (or screening), diagnosis, treatment, and outcome. All indicators were calculated for the period 2017-2019, while performance evaluation was performed for the year 2019. The analysis involved four health districts and their relative hospitals in Ethiopia, Tanzania, and Uganda. RESULTS: Substantial variability was observed over time and across the four different districts. In the Tuberculosis pathway, the majority of indicators scored below the standards and below-average performance was mainly reported for prevention and diagnosis phases. Along the Gastroenteritis pathway, excellent performance was instead evaluated for most indicators and the highest scores were reported in prevention and treatment phases. The HIV/AIDS pathway indicators related to screening and outcome phases were below the average score, while good or excellent performance was registered within the treatment phase. CONCLUSIONS: The bottom-up approach and stakeholders' engagement increased local ownership of the process and the likelihood that findings will inform health services performance and quality of care. Despite the intrinsic limitations of data sources, this framework may contribute to promoting good governance, performance evaluation, outcomes measurement and accountability in settings characterised by multiple healthcare service providers.

Provision of follow-up care for women with a history of breast cancer following the 2016 position paper by the Italian Group for Mammographic Screening and the Italian College of Breast Radiologists by SIRM: a survey of Senonetwork Italian breast centres.

INTRODUCTION: In 2016, the Italian Group for Mammography Screening and the Italian College of Breast Radiologists by the Italian Society of Medical and Interventional Radiology recommended that screening programmes and specialist breast centres actively invite women with a history of breast cancer to follow-up imaging. OBJECTIVE: A survey of breast centres associated with Senonetwork, the Italian network of breast cancer services, has offered the opportunity to assess the implementation of this recommendation. METHODS: A national, cross-sectional, voluntary, online survey was developed, pre-tested, and administered during the months July-October 2020. Five of the 73 questionnaire items concerned breast cancer follow-up. RESULTS: The response rate was 82/128 (65%). Of the 82 respondent centres, 69 (84%) were involved in a screening programme. Fifty-six (68%) reported the presence of a programme of active invitation to breast cancer follow-up targeted at patients living in their catchment area, with a significant north-to-south gradient. Four centres (5%) reported that the screening programme was responsible for actively initiating follow-up during the 10-year period since diagnosis. Only after 10 years did the proportion increase moderately. CONCLUSION: Screening programmes have still a marginal role in active breast cancer follow-up.

The contribution of benchmarking to quality improvement in healthcare. A systematic literature review.

BACKGROUND: Benchmarking has been recognised as a valuable method to help identify strengths and weaknesses at all levels of the healthcare system. Despite a growing interest in the practice and study of benchmarking, its contribution to quality of care have not been well elucidated. As such, we conducted a systematic literature review with the aim of synthesizing the evidence regarding the relationship between benchmarking and quality improvement. We also sought to provide evidence on the associated strategies that can be used to further stimulate quality improvement. METHODS: We searched three databases (PubMed, Web of Science and Scopus) for articles studying the impact of benchmarking on quality of care (processes and outcomes). Following assessment of the articles for inclusion, we conducted data analysis, quality assessment and critical synthesis according to the PRISMA guidelines for systematic literature review. RESULTS: A total of 17 articles were identified. All studies reported a positive association between the use of benchmarking and quality improvement in terms of processes (N = 10), outcomes (N = 13) or both (N = 7). In the majority of studies (N = 12), at least one intervention, complementary to benchmarking, was undertaken to stimulate quality improvement. The interventions ranged from meetings between participants to quality improvement plans and financial incentives. A combination of multiple interventions was present in over half of the studies (N = 10). CONCLUSIONS: The results generated from this review suggest that the practice of benchmarking in healthcare is a growing field, and more research is needed to better understand its effects on quality improvement. Furthermore, our findings indicate that benchmarking may stimulate quality improvement, and that interventions, complementary to benchmarking, seem to reinforce this improvement. Although this study points towards the benefit of combining performance measurement with interventions in terms of quality, future research should further analyse the impact of these interventions individually.