Assessing the Effect of Nonvisual Information Factors in Pandemic-Related Video Communication: Randomized Controlled Between-Subjects Experiment.

BACKGROUND: Videos have been an important medium for providing health and risk communication to the public during the COVID-19 pandemic. Public health officials, health care professionals, and policy makers have used videos to communicate pandemic-related content to large parts of the population. Evidence regarding the outcomes of such communication, along with their determinants, is however limited. OBJECTIVE: The aim of this study was to test the impact of nonvisual information factors of video communication on 4 outcomes: trust, comprehension, intentions, and behavior. METHODS: Twelve short health communication videos related to pandemics were produced and shown to a large sample of participants, applying a randomized controlled between-subjects design. Three factors were included in the creation of the videos: the topic (exponential growth, handwashing, and burden of pandemics on the health care system), the source (expert and nonexpert), and a call to action (present or absent). Participants were randomly assigned to 1 video intervention, and 1194 valid replies were collected. The data were analyzed using factorial ANOVA. RESULTS: The 3 pandemic-related topics did not affect trust, comprehension, intentions, or behavior. Trust was positively influenced by an expert source (2.5%), whereas a nonexpert source instead had a positive effect on the proxy for behavior (5.7%) compared with the expert source. The inclusion of a call to action had a positive effect on both trust (4.1%) and comprehension (15%). CONCLUSIONS: Trust and comprehension in pandemic-related video communication can be enhanced by using expert sources and by including a call to action, irrespective of the topic being communicated. Intentions and behavior appear to be affected to a small extent by the 3 factors tested in this study. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/34275.

Exponential Growth Bias of Infectious Diseases: Protocol for a Systematic Review.

BACKGROUND: Humans struggle to grasp the extent of exponential growth, which is essential to comprehend the spread of an infectious disease. Exponential growth bias is the tendency to linearize exponential functions when assessing them intuitively. Effective public health communication about the nonlinear nature of infectious diseases has strong implications for the public's compliance with strict restrictions. However, there is a lack of synthesized knowledge on the communication of the exponential growth of infectious diseases and on the outcomes of exponential growth bias. OBJECTIVE: This systematic review identifies, evaluates, and synthesizes the findings of empirical studies on exponential growth bias of infectious diseases. METHODS: A systematic review will be conducted using the PRISMA-P (Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols) 2015 statement. Eligibility criteria include empirical studies of exponential growth bias of infectious diseases regardless of methodology. We include studies both with and without interventions/strategies. For information sources, we include the following five bibliographic databases: MEDLINE, Embase, Cochrane Library, PsychINFO, and Web of Science Core Collection. The risk of bias will be assessed using RoB 2 (Risk of Bias 2) and STROBE (Strengthening the Reporting of Observational Studies in Epidemiology). Data synthesis will be achieved through a narrative synthesis. RESULTS: By February 2022, we included 11 experimental studies and 1 cross-sectional survey study. Preliminary themes identified are the presence of exponential growth bias, the effect of exponential growth bias, and communication strategies to mitigate exponential growth bias. Data extraction, narrative synthesis, and the risk of bias assessment are to be completed by February 2023. CONCLUSIONS: We anticipate that this systematic review will draw some lines related to how people comprehend and misperceive exponential growth and its consequences for infectious disease mitigation and communication. Furthermore, the study will conclude with the limitations of the research and suggestions for future research. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/37441.

Key topics in pandemic health risk communication: A qualitative study of expert opinions and knowledge.

BACKGROUND: Science communication can provide people with more accurate information on pandemic health risks by translating complex scientific topics into language that helps people make more informed choices on how to protect themselves and others. During pandemics, experts in medicine, science, public health, and communication are important sources of knowledge for science communication. This study uses the COVID-19 pandemic to explore these experts' opinions and knowledge of what to communicate to the public during a pandemic. The research question is: What are the key topics to communicate to the public about health risks during a pandemic? METHOD: We purposively sampled 13 experts in medicine, science, public health, and communication for individual interviews, with a range of different types of knowledge of COVID-19 risk and communication at the national, regional and hospital levels in Norway. The interview transcripts were coded and analysed inductively in a qualitative thematic analysis. RESULTS: The study's findings emphasise three central topics pertaining to communication about pandemic health risk during the first year of the COVID-19 pandemic in Norway: 1) how the virus enters the human body and generates disease; 2) how to protect oneself and others from being infected; and 3) pandemic health risk for the individual and the society. CONCLUSION: The key topics emerging from the expert interviews relate to concepts originating from multiple disciplinary fields, and can inform frameworks for interprofessional communication about health risks during a pandemic. The study highlights the complexity of communicating pandemic messages, due to scientific uncertainty, fear of risk amplification, and heterogeneity in public health and scientific literacy. The study contributes with insight into the complex communication processes of pandemic health risk communication.

Differences in comprehending and acting on pandemic health risk information: a qualitative study using mental models.

BACKGROUND: A worldwide pandemic of a new and unknown virus is characterised by scientific uncertainty. However, despite this uncertainty, health authorities must still communicate complex health risk information to the public. The mental models approach to risk communication describes how people perceive and make decisions about complex risks, with the aim of identifying decision-relevant information that can be incorporated into risk communication interventions. This study explored how people use mental models to make sense of scientific information and apply it to their lives and behaviour in the context of COVID-19. METHODS: This qualitative study enrolled 15 male and female participants of different ages, with different levels of education and occupational backgrounds and from different geographical regions of Norway. The participants were interviewed individually, and the interview data were subjected to thematic analysis. The interview data were compared to a expert model of COVID-19 health risk communication based on online information from the Norwegian Institute of Public Health. Materials in the interview data not represented by expert model codes were coded inductively. The participants' perceptions of and behaviours related to health risk information were analysed across three themes: virus transmission, risk mitigation and consequences of COVID-19. RESULTS: The results indicate that people placed different meanings on the medical and scientific words used by experts to explain the pandemic (e.g., virus transmission and the reproduction number). While some people wanted to understand why certain behaviour and activities were considered high risk, others preferred simple, clear messages explaining what to do and how to protect themselves. Similarly, information about health consequences produced panic in some interviewees and awareness in others. CONCLUSION: There is no one-size-fits-all approach to public health risk communication. Empowering people with decision-relevant information necessitates targeted and balanced risk communication.

Creating Effective, Evidence-Based Video Communication of Public Health Science (COVCOM Study): Protocol for a Sequential Mixed Methods Effect Study.

BACKGROUND: The nonlinear nature of contagious diseases and the potential for exponential growth can be difficult to grasp for the general public. This has strong implications for public health communication, which needs to be both easily accessible and efficient. A pandemic is an extreme situation, and the accompanying strict societal measures are generally easier to accept if one understands the underlying reasoning behind them. Bringing about informed attitude change and achieving compliance to strict restrictions requires explanations of scientific concepts and terminologies that laypersons can understand. OBJECTIVE: The aim of the project is to develop effective, evidence-based modes of video communication for translating complex, but important, health messages about pandemics to both the general population and decision makers. The study uses COVID-19 as a case to learn and prepare society for handling the ongoing and future pandemics, as well as to provide evidence-based tools for the science communication toolbox. METHODS: The project applies a mixed methods design, combining qualitative methods (eg, interviews, observational studies, literature reviews) and quantitative methods (eg, randomized controlled trials [RCTs]). The project brings together researchers from a wide range of academic fields, as well as communication industry professionals. RESULTS: This study has received funding from the Trond Mohn Foundation through the Research Council of Norway's "COVID-19 Emergency Call for Proposals" March 2020. Recruitment and data collection for the exploratory first phase of the project ran from February 2021 to March 2021. Creative communication work started in May 2021, and the production of videos for use in the RCTs in the final phase of the project started in September 2021. CONCLUSIONS: The COVCOM project will take on several grand challenges within the field of communicating science and provide evidence-based tools to the science communication toolbox. A long-term goal of the project is to contribute to the creation of a more resilient health care system by developing communication responses tailormade for different audiences, preparing society for any future pandemic. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/34275.

The Role of Recipient Characteristics in Health Video Communication Outcomes: Scoping Review.

BACKGROUND: The importance of effective communication during public health emergencies has been highlighted by the World Health Organization, and it has published guidelines for effective communication in such situations. With video being a popular medium, video communication has been a growing area of study over the past decades and is increasingly used across different sectors and disciplines, including health. Health-related video communication gained momentum during the SARS-CoV-2 pandemic, and video was among the most frequently used modes of communication worldwide. However, although much research has been done regarding different characteristics of video content (the message) and its delivery (the messenger), there is a lack of knowledge about the role played by the characteristics of the recipients for the creation of effective communication. OBJECTIVE: The aim of this review is to identify how health video communication outcomes are shaped by recipient characteristics, as such characteristics might affect the effectiveness of communication. The main research question of the study is as follows: do the characteristics of the recipients of health videos affect the outcomes of the communication? METHODS: A scoping review describing the existing knowledge within the field was conducted. We searched for literature in 3 databases (PubMed, Scopus, and Embase) and defined eligibility criteria based on the relevance to the research question. Recipient characteristics and health video communication outcomes were identified and classified. RESULTS: Of the 1040 documents initially identified, 128 (12.31%) met the criteria for full-text assessment, and 39 (3.75%) met the inclusion criteria. The included studies reported 56 recipient characteristics and 42 communication outcomes. The reported associations between characteristics and outcomes were identified, and the potential research opportunities were discussed. Contributions were made to theory development by amending the existing framework of the Integrated-Change model, which is an integrated model of motivational and behavioral change. CONCLUSIONS: Although several recipient characteristics and health video communication outcomes were identified, there is a lack of robust empirical evidence on the association between them. Further research is needed to understand how the preceding characteristics of the recipients might affect the various outcomes of health video communication.

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.

Health authorities' health risk communication with the public during pandemics: a rapid scoping review.

BACKGROUND: Responses from the H1N1 swine flu pandemic and the recent COVID-19 coronavirus pandemic provide an opportunity for insight into the role of health authorities' ways of communicating health risk information to the public. We aimed to synthesise the existing evidence regarding different modes of communication used by health authorities in health risk communication with the public during a pandemic. METHODS: We conducted a rapid scoping review. MEDLINE and EMBASE were searched for publications in English from January 2009 through October 2020, covering both the full H1N1 pandemic and the response phase during the COVID-19 pandemic. The search resulted in 1440 records, of which 48 studies met our eligibility criteria. RESULTS: The present review identified studies across a broad interdisciplinary field of health risk communication. The majority focused on the H1N1 pandemic and the COVID-19 pandemic. A content analysis of the studies identified three categories for modes of communication: i) communication channels, ii) source credibility and iii) how the message is communicated. The identified studies on social media focused mainly on content and engagement, while studies on the effect of the use of social media and self-protective behaviour were lacking. Studies on the modes of communication that take the diversity of receivers in the field into account are lacking. A limited number of studies of health authorities' use of graphic and audio-visual means were identified, yet these did not consider/evaluate creative communication choices. CONCLUSION: Experimental studies that investigate the effect of health authorities' videos and messages on social media platforms and self-protective behaviour are needed. More studies are needed across the fields of health risk communication and media studies, including visual communication, web design, video and digital marketing, at a time when online digital communication is central to reaching the public.

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.

Caesarean sections in teaching hospitals: systematic review and meta-analysis of hospitals in 22 countries.

OBJECTIVE: The aim of this study is to determine the odds of caesarean section in all births in teaching hospitals as compared with non-teaching hospitals. SETTING: Over 3600 teaching and non-teaching hospitals in 22 countries. We searched CINAHL, The Cochrane Library, PubMed, sciELO, Scopus and Web of Science from the beginning of records until May 2020. PARTICIPANTS: Women at birth. Over 18.5 million births. INTERVENTION: Caesarean section. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome measures are the adjusted OR of caesarean section in a variety of teaching hospital comparisons. The secondary outcome is the crude OR of caesarean section in a variety of teaching hospital comparisons. RESULTS: In adjusted analyses, we found that university hospitals have lower odds than non-teaching hospitals (OR=0.66, 95% CI 0.56 to 0.78) and other teaching hospitals (OR=0.46, 95% CI 0.24 to 0.89), and no significant difference with unspecified teaching status hospitals (OR=0.92, 95% CI 0.80 to 1.05, τ2=0.009). Other teaching hospitals had higher odds than non-teaching hospitals (OR=1.23, 95% CI 1.12 to 1.35). Comparison between unspecified teaching hospitals and non-teaching hospitals (OR=0.91, 95% CI 0.50 to 1.65, τ2=1.007) and unspecified hospitals (OR=0.95, 95% CI 0.76 to 1.20), τ2<0.001) showed no significant difference. While the main analysis in larger sized groups of analysed studies reveals no effect between hospitals, subgroup analyses show that teaching hospitals carry out fewer caesarean sections in several countries, for several study populations and population characteristics. CONCLUSIONS: With smaller sample of participants and studies, in clearly defined hospitals categories under comparison, we see that university hospitals have lower odds for caesarean. With larger sample size and number of studies, as well as less clearly defined categories of hospitals, we see no significant difference in the likelihood of caesarean sections between teaching and non-teaching hospitals. Nevertheless, even in groups with no significant effect, teaching hospitals have a lower or higher likelihood of caesarean sections in several analysed subgroups. Therefore, we recommend a more precise examination of forces sustaining these trends. PROSPERO REGISTRATION NUMBER: CRD42020158437.

Measuring research in the big data era: The evolution of performance measurement systems in the Italian teaching hospitals.

BACKGROUND: In the healthcare system, Teaching Hospitals(THs) not only provide care, but also train healthcare professionals and carry out research activities. Research is a fundamental pillar of THs' mission and relevant for the healthcare system monitored by Performance Evaluation Systems. Research activities can be measured using citation index services and this paper highlights differences between two services based on bibliometrics, describes opportunities and risks when performance indicators rely on data collected, controlled and validated by external services and discusses the possible impact on health policy at a system and provider level. METHODS: A bibliometric analysis was done on data between 2014-2016 from ISI Web of Science and Scopus of 18.255 physicians working in 26 Italian THs. Quantity was defined as the number of publications and quality as Impact Factor or Field-Weighted Citation Impact. RESULTS: Overall, 41.233 and 66.409 documents were extracted from respectively ISI Web of Science and Scopus. While benchmarking results, significant differences in ranked position both in metrics emerged. DISCUSSION: Utilizing secondary data sources to measure research activities of THs allows benchmarking at an (inter)national level and overcoming self-referment. To utilize indicators for multiple governance purposes at the system and provider level, indicators need to be profoundly understood, require formalizations in data validation, internal analysis and a sharing process among health professionals, management and policymakers.

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.

Insights on the effectiveness of reward schemes from 10-year longitudinal case studies in 2 Italian regions.

BACKGROUND: Pay for performance (P4P) programs have been widely analysed in literature, and the results regarding their impact on performance are mixed. Moreover, in the real-life setting, reward schemes are designed combining multiple elements altogether, yet, it is not clear what happens when they are applied using different combinations. OBJECTIVES: To provide insights on how P4P programs are influenced by 5 key elements: whom, what, how, how many targets, and how much to reward. METHODS: A qualitative longitudinal analysis of 10 years of P4P reward schemes adopted by the regional administrations of Tuscany and Lombardy (Italy) was conducted. The effects of the P4P features on performance are discussed considering both overall and specific indicators. RESULTS: Both regions applied financial reward schemes for General Managers by linking the variable pay to performance. While Tuscany maintained a relatively stable financial incentive design and governance tools, Lombardy changed some elements of the design and introduced, in 2012, a P4P program aimed to reward the providers. The main differences between the 2 cases regard the number of targets (how many), the type (what), and the method applied to set targets (how). CONCLUSION: Considering the overall performance obtained by the 2 regions, it seems that whom, how, and how much to reward are not relevant in the success of P4P programs; instead, the number (how many) and the type (what) of targets set may influence the performance improvement processes driven by financial reward schemes.