How do healthcare providers use national audit data for improvement?

BACKGROUND: Substantial resources are invested by Health Departments worldwide in introducing National Clinical Audits (NCAs). Yet, there is variable evidence on the NCAs' effectiveness and little is known on factors underlying the successful use of NCAs to improve local practice. This study will focus on a single NCA (the National Audit of Inpatient Falls -NAIF 2017) to explore: (i) participants' perspectives on the NCA reports, local feedback characteristics and actions undertaken following the feedback underpinning the effective use of the NCA feedback to improve local practice; (ii) reported changes in local practice following the NCA feedback in England and Wales. METHODS: Front-line staff perspectives were gathered through interviews. An inductive qualitative approach was used. Eighteen participants were purposefully sampled from 7 of the 85 participating hospitals in England and Wales. Analysis was guided by constant comparative techniques. RESULTS: Regarding the NAIF annual report, interviewees valued performance benchmarking with other hospitals, the use of visual representations and the inclusion of case studies and recommendations. Participants stated that feedback should target front-line healthcare professionals, be straightforward and focused, and be delivered through an encouraging and honest discussion. Interviewees highlighted the value of using other relevant data sources alongside NAIF feedback and the importance of continuous data monitoring. Participants reported that engagement of front-line staff in the NAIF and following improvement activities was critical. Leadership, ownership, management support and communication at different organisational levels were perceived as enablers, while staffing level and turnover, and poor quality improvement (QI) skills, were perceived as barriers to improvement. Reported changes in practice included increased awareness and attention to patient safety issues and greater involvement of patients and staff in falls prevention activities. CONCLUSIONS: There is scope to improve the use of NCAs by front-line staff. NCAs should not be seen as isolated interventions but should be fully embedded and integrated into the QI strategic and operational plans of NHS trusts. The use of NCAs could be optimised, but knowledge of them is poor and distributed unevenly across different disciplines. More research is needed to provide guidance on key elements to consider throughout the whole improvement process at different organisational levels.

Challenges to implementing artificial intelligence in healthcare: a qualitative interview study with healthcare leaders in Sweden.

BACKGROUND: Artificial intelligence (AI) for healthcare presents potential solutions to some of the challenges faced by health systems around the world. However, it is well established in implementation and innovation research that novel technologies are often resisted by healthcare leaders, which contributes to their slow and variable uptake. Although research on various stakeholders' perspectives on AI implementation has been undertaken, very few studies have investigated leaders' perspectives on the issue of AI implementation in healthcare. It is essential to understand the perspectives of healthcare leaders, because they have a key role in the implementation process of new technologies in healthcare. The aim of this study was to explore challenges perceived by leaders in a regional Swedish healthcare setting concerning the implementation of AI in healthcare. METHODS: The study takes an explorative qualitative approach. Individual, semi-structured interviews were conducted from October 2020 to May 2021 with 26 healthcare leaders. The analysis was performed using qualitative content analysis, with an inductive approach. RESULTS: The analysis yielded three categories, representing three types of challenge perceived to be linked with the implementation of AI in healthcare: 1) Conditions external to the healthcare system; 2) Capacity for strategic change management; 3) Transformation of healthcare professions and healthcare practice. CONCLUSIONS: In conclusion, healthcare leaders highlighted several implementation challenges in relation to AI within and beyond the healthcare system in general and their organisations in particular. The challenges comprised conditions external to the healthcare system, internal capacity for strategic change management, along with transformation of healthcare professions and healthcare practice. The results point to the need to develop implementation strategies across healthcare organisations to address challenges to AI-specific capacity building. Laws and policies are needed to regulate the design and execution of effective AI implementation strategies. There is a need to invest time and resources in implementation processes, with collaboration across healthcare, county councils, and industry partnerships.

Implementation Frameworks for Artificial Intelligence Translation Into Health Care Practice: Scoping Review.

BACKGROUND: Significant efforts have been made to develop artificial intelligence (AI) solutions for health care improvement. Despite the enthusiasm, health care professionals still struggle to implement AI in their daily practice. OBJECTIVE: This paper aims to identify the implementation frameworks used to understand the application of AI in health care practice. METHODS: A scoping review was conducted using the Cochrane, Evidence Based Medicine Reviews, Embase, MEDLINE, and PsycINFO databases to identify publications that reported frameworks, models, and theories concerning AI implementation in health care. This review focused on studies published in English and investigating AI implementation in health care since 2000. A total of 2541 unique publications were retrieved from the databases and screened on titles and abstracts by 2 independent reviewers. Selected articles were thematically analyzed against the Nilsen taxonomy of implementation frameworks, and the Greenhalgh framework for the nonadoption, abandonment, scale-up, spread, and sustainability (NASSS) of health care technologies. RESULTS: In total, 7 articles met all eligibility criteria for inclusion in the review, and 2 articles included formal frameworks that directly addressed AI implementation, whereas the other articles provided limited descriptions of elements influencing implementation. Collectively, the 7 articles identified elements that aligned with all the NASSS domains, but no single article comprehensively considered the factors known to influence technology implementation. New domains were identified, including dependency on data input and existing processes, shared decision-making, the role of human oversight, and ethics of population impact and inequality, suggesting that existing frameworks do not fully consider the unique needs of AI implementation. CONCLUSIONS: This literature review demonstrates that understanding how to implement AI in health care practice is still in its early stages of development. Our findings suggest that further research is needed to provide the knowledge necessary to develop implementation frameworks to guide the future implementation of AI in clinical practice and highlight the opportunity to draw on existing knowledge from the field of implementation science.

Process mapping in healthcare: a systematic review.

INTRODUCTION: Process mapping (PM) supports better understanding of complex systems and adaptation of improvement interventions to their local context. However, there is little research on its use in healthcare. This study (i) proposes a conceptual framework outlining quality criteria to guide the effective implementation, evaluation and reporting of PM in healthcare; (ii) reviews published PM cases to identify context and quality of PM application, and the reported benefits of using PM in healthcare. METHODS: We developed the conceptual framework by reviewing methodological guidance on PM and empirical literature on its use in healthcare improvement interventions. We conducted a systematic review of empirical literature using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology. Inclusion criteria were: full text empirical study; describing the process through which PM has been applied in a healthcare setting; published in English. Databases searched are: Medline, Embase, HMIC-Health Management Information Consortium, CINAHL-Cumulative Index to Nursing and Allied Health Literature, Scopus. Two independent reviewers extracted and analysed data. Each manuscript underwent line by line coding. The conceptual framework was used to evaluate adherence of empirical studies to the identified PM quality criteria. Context in which PM is used and benefits of using PM were coded using an inductive thematic analysis approach. RESULTS: The framework outlines quality criteria for each PM phase: (i) preparation, planning and process identification, (ii) data and information gathering, (iii) process map generation, (iv) analysis, (v) taking it forward. PM is used in a variety of settings and approaches to improvement. None of the reviewed studies (N = 105) met all ten quality criteria; 7% were compliant with 8/10 or 9/10 criteria. 45% of studies reported that PM was generated through multi-professional meetings and 15% reported patient involvement. Studies highlighted the value of PM in navigating the complexity characterising healthcare improvement interventions. CONCLUSION: The full potential of PM is inhibited by variance in reporting and poor adherence to underpinning principles. Greater rigour in the application of the method is required. We encourage the use and further development of the proposed framework to support training, application and reporting of PM. TRIAL REGISTRATION: Prospero ID: CRD42017082140.

Using virtual worlds as a platform for collaborative meetings in healthcare: a feasibility study.

BACKGROUND: Healthcare teams often consist of geographically dispersed members. Virtual worlds can support immersive, high-quality, multimedia interaction between remote individuals; this study investigated use of virtual worlds to support remote healthcare quality improvement team meetings. METHODS: Twenty individuals (12 female, aged 25-67 [M = 42.3, SD = 11.8]) from 6 healthcare quality improvement teams conducted collaborative tasks in virtual world or face-to-face settings. Quality of collaborative task performances were measured and questionnaires and interviews were used to record participants' experiences of conducting the tasks and using the virtual world software. RESULTS: Quality of collaborative task outcomes was high in both face-to-face and virtual world settings. Participant interviews elicited advantages for using virtual worlds in healthcare settings, including the ability of the virtual environment to support tools that cannot be represented in equivalent face-to-face meetings, and the potential for virtual world settings to cause improvements in group-dynamics. Reported disadvantages for future virtual world use in healthcare included the difficulty that people with weaker computer skills may experience with using the software. Participants tended to feel absorbed in the collaborative task they conducted within the virtual world, but did not experience the virtual environment as being 'real'. CONCLUSIONS: Virtual worlds can provide an effective platform for collaborative meetings in healthcare quality improvement, but provision of support to those with weaker computer skills should be ensured, as should the technical reliability of the virtual world being used. Future research could investigate use of virtual worlds in other healthcare settings.

What do care home managers believe constitutes an 'assessment for frailty' of care home residents in North-West London? A survey.

BACKGROUND: Frail individuals are at risk of significant clinical deterioration if their frailty is not identified and managed appropriately. Research suggests that any interaction between an older person and a health or social care professional should include an assessment for frailty. Many older care home residents are frail when admitted, but we have little knowledge of whether or how this is assessed. The aim of this paper is to understand and establish the characteristics of the reported 'assessments for frailty' used in care homes with nursing (nursing homes) across North-West London. This will help understand what an 'assessment for frailty' of care home residents mean in practice in North-West London. METHODS: Telephone contact was made with every Care Quality Commission (CQC) (independent regulator of health and adult social care in England) regulated nursing home across North-West London [n = 87]. An online survey was sent to all that expressed interest [n = 73]. The survey was developed through conversations with healthcare professionals, based on literature and tested with academics and clinicians. Survey responses were analysed using descriptive statistics. The Mann-Whitney U test was used for statistical analyses. RESULTS: 24/73 nursing homes completed the survey (33%). Differences in the characteristics of reported 'assessments for frailty' across nursing homes were evident. Variation in high level domains assessed (physical, social, mental and environmental) was observed. Nurses were the most common professional group completing assessments for frailty, with documentation and storage being predominantly paper based. A statistically significant difference between the number of assessments used in corporate chain owned nursing homes (3.9) versus independently owned nursing homes (2.1) was observed (U = 21, p = .005). CONCLUSIONS: Great variation existed in the characteristics of reported 'assessments for frailty' in nursing homes. Our study suggests that not all physical, social, mental and environmental domains of frailty are routinely assessed: it appears that frailty is still primarily viewed only in terms of physical health. The consequences of this could be severe for patients, staff and healthcare settings. Research illustrates that frailty is a broad, multifactorial health state and, as such, an overall 'assessment for frailty' should reflect this.

The role of patients and carers in diffusing a health-care innovation: A case study of "My Medication Passport".

BACKGROUND: Patients are increasingly recognized as playing important roles in improving health services. Little is known about the mechanisms by which patients develop and diffuse local innovations in a complex health-care system. OBJECTIVE: To ascertain how diffusion of an innovation, My Medication Passport, occurred and roles played by patients in it. DESIGN: Case study: quantitative mapping of innovation's diffusion and analysis of the routes and occupations of those through whom the innovation spread; documentary analysis; reflective assessment of patient's roles. SETTING AND PARTICIPANTS: NHS Trusts, third sector organizations, patients and health-care professionals. INTERVENTIONS STUDIED: Co-produced action to raise awareness and influence use of the innovation; order database which enabled ease of access to the innovation. MAIN OUTCOME MEASURES: Geographical spread of innovation; occupations of individuals; types of organizations using the innovation. RESULTS: The innovation spread from initial development and use in Northwest London across the UK and beyond. Key roles played by patients were as follows: co-producer; advocate; relationship builder; relationship broker; planner; presenter; awareness raiser; trainer; networker. Patients identified and introduced potential audiences and users to MMP, using social, organizational, sectoral, lay and professional networks to do so. They organized a range of awareness-raising and communication activities, monitored feedback, evaluated the impact and responded to new interest. DISCUSSION AND CONCLUSIONS: The roles of patients in diffusing innovations are under-recognized. Collaborative working between patients, carers and health-care professionals in planning and progressing the use and supporting diffusion of the innovation was important. Principles described in this study are relevant to progressing other patient-led ideas for innovative changes relating to health service development.

Translating evidence in complex systems: a comparative review of implementation and improvement frameworks.

PURPOSE: An increasing number of implementation and improvement frameworks seek to describe and explain how change is made in healthcare. This paper aims to explore how existing frameworks conceptualize the influence of complexity in translating evidence into practice in healthcare. DATA SOURCES: A database was interrogated using a search strategy to identify publications that present frameworks and models for implementation and improvement. STUDY SELECTION: Ten popular implementation and improvement frameworks were purposively selected. DATA EXTRACTION: Comparative analysis was conducted using an analytical framework derived from SHIFT-Evidence, a framework that conceptualizes complexity in implementation and improvement initiatives. RESULTS: Collectively the frameworks accounted for key concepts of translating evidence in complex systems: understanding the uniqueness of each setting; the interdependency of practices/processes and the need to respond to unpredictable events and emergent learning. The analysis highlighted heterogeneity of the frameworks in their focus on different aspects of complexity. Differences include the extent to which problems and solutions are investigated or assumed; whether endpoints are defined as the uptake of interventions or achievement of goals; and emphasis placed on fixed-term interventions versus continual improvement. None of the individual frameworks reviewed incorporated all the implications of complexity, as described by SHIFT-Evidence. CONCLUSION: This research identifies the differences in how implementation and improvement frameworks consider complexity, suggesting that SHIFT-Evidence offers a more comprehensive overview compared with the other frameworks. The similarity of concepts across the frameworks suggests growing consensus in the literature, with SHIFT-Evidence providing a conceptual bridge between the implementation and improvement fields.

Successful Healthcare Improvements From Translating Evidence in complex systems (SHIFT-Evidence): simple rules to guide practice and research.

BACKGROUND: Evidence translation and improvement research indicate that healthcare contexts are complex systems, characterized by uncertainty and surprise, which often defy orchestrated intervention attempts. This article reflects on the implications of complexity on attempts to translate evidence, and on a newly published framework for Successful Healthcare Improvements From Translating Evidence in complex systems (SHIFT-Evidence). DISCUSSION: SHIFT-Evidence positions the challenge of evidence translation within the complex and evolving context of healthcare, and recognizes the wider issues practitioners routinely face. It is empirically grounded, and designed to be comprehensive, practically relevant and actionable. SHIFT-evidence is summarized by three principles designed to be intuitive and memorable: 'act scientifically and pragmatically'; 'embrace complexity'; and 'engage and empower'. Common challenges and strategies to overcome them are summarized in 12 'simple rules' that provide actionable guidance. CONCLUSION: SHIFT-Evidence provides a practical tool to guide practice and research of evidence translation and improvement within complex dynamic healthcare settings. Implications are that improvement initiatives and research study designs need to take into account the unique initial conditions in each local setting; conduct needs to respond to unpredictable effects and address dependent problems; and evaluation needs to be sensitive to evolving priorities and the emergent range of activities required to achieve improvement.

Simple rules for evidence translation in complex systems: A qualitative study.

BACKGROUND: Ensuring patients benefit from the latest medical and technical advances remains a major challenge, with rational-linear and reductionist approaches to translating evidence into practice proving inefficient and ineffective. Complexity thinking, which emphasises interconnectedness and unpredictability, offers insights to inform evidence translation theories and strategies. Drawing on detailed insights into complex micro-systems, this research aimed to advance empirical and theoretical understanding of the reality of making and sustaining improvements in complex healthcare systems. METHODS: Using analytical auto-ethnography, including documentary analysis and literature review, we assimilated learning from 5 years of observation of 22 evidence translation projects (UK). We used a grounded theory approach to develop substantive theory and a conceptual framework. Results were interpreted using complexity theory and 'simple rules' were identified reflecting the practical strategies that enhanced project progress. RESULTS: The framework for Successful Healthcare Improvement From Translating Evidence in complex systems (SHIFT-Evidence) positions the challenge of evidence translation within the dynamic context of the health system. SHIFT-Evidence is summarised by three strategic principles, namely (1) 'act scientifically and pragmatically' - knowledge of existing evidence needs to be combined with knowledge of the unique initial conditions of a system, and interventions need to adapt as the complex system responds and learning emerges about unpredictable effects; (2) 'embrace complexity' - evidence-based interventions only work if related practices and processes of care within the complex system are functional, and evidence-translation efforts need to identify and address any problems with usual care, recognising that this typically includes a range of interdependent parts of the system; and (3) 'engage and empower' - evidence translation and system navigation requires commitment and insights from staff and patients with experience of the local system, and changes need to align with their motivations and concerns. Twelve associated 'simple rules' are presented to provide actionable guidance to support evidence translation and improvement in complex systems. CONCLUSION: By recognising how agency, interconnectedness and unpredictability influences evidence translation in complex systems, SHIFT-Evidence provides a tool to guide practice and research. The 'simple rules' have potential to provide a common platform for academics, practitioners, patients and policymakers to collaborate when intervening to achieve improvements in healthcare.

Improving patient safety for older people in acute admissions: implementation of the Frailsafe checklist in 12 hospitals across the UK.

Background: checklists are increasingly proposed as a means to enhance safety and quality of care. However, their use has been met with variable levels of success. The Frailsafe project focused on introducing a checklist with the aim to increase completion of key clinical assessments and to facilitate communication for the care of older patients in acute admissions. Objectives: to examine the use of the Frailsafe checklist, including potential to contribute to improved safety, quality and reliability of care. Methods: 110 qualitative interviews and group discussions with healthcare professionals and other specialties, 172 h of ethnographic observation in 12 UK hospitals and reporting of high-level process data (completion of checklist and relevant frailty assessments). Qualitative analysis followed a thematic and theory-driven approach. Results: through use of the checklist, hospital teams identified limitations in their existing assessments (e.g. absence of delirium protocols) and practices (e.g. unnecessary catheter use). This contributed to hospitals reporting just 24.0% of sampled patients as having received all clinical assessments across key domains for this population for the duration of the project (1,687/7,021 checklists as fully completed). Staff perceptions and experiences of using the checklist varied significantly, primarily driven by the extent to which the aims of this quality improvement project aligned with local service priorities and pre-existing team communications styles. Conclusions: the Frailsafe checklist highlighted limitations with frailty assessment in acute care and motivated teams to review routine practices. Further work is needed to understand whether and how checklists can be embedded in complex, multidisciplinary care.

A new typology for understanding context: qualitative exploration of the model for understanding success in quality (MUSIQ).

BACKGROUND: The importance of contextual factors in influencing quality improvement and implementation (QI&I) initiatives is broadly acknowledged. Existing treatments of context have primarily viewed it as static and distinct from interventions themselves. The objective of this study was to advance understanding of the complex and dynamic interaction between context, intervention, and implementation strategies. Using the Model for Understanding Success in Quality (MUSIQ), we aimed to better understand the roles of, and inter-relationships between, contextual factors within QI&I initiatives. METHODS: Secondary analysis was performed on qualitative data collected as part of two studies: (1) an evaluation of a state-wide obstetrical quality improvement (QI) initiative, and (2) a study of the use of Plan-Do-Study-Act cycle method in QI projects. Electronic coding databases from each study were reviewed jointly. Data analysis was initiated deductively using MUSIQ as a template. Codes were added in an inductive manner. RESULTS: All original factors in MUSIQ were observed to be important in the QI initiatives studied and new factors were identified. Three distinct types of context were identified; the setting(s) of care in which QI&I takes place (Type 1); the context of the team conducting a specific project (Type 2); and the wider context supporting general QI&I (Type 3). The picture of context emerging from this study is a dynamic one with multiple, closely-linked factors operating at different levels in a system that is constantly changing in response to QI&I initiatives. To capture this complexity, a revised model (MUSIQ v2.0) was created positioning use of structured QI&I approaches as the focal point and demonstrating how context influenced effective use of these approaches, and in turn, how these approaches supported teams in navigating context by adapting interventions to fit local settings. CONCLUSIONS: MUSIQ is a useful tool to explore the roles of, and inter-relationships between, contextual factors within QI&I initiatives. The revised model may help address some existing controversies about how context influences QI&I success and help ensure that future research efforts consider context not as static background, but as a complex system that is constantly changing, tightly-linked, and governed by feedback loops.

Criteria for evaluating programme theory diagrams in quality improvement initiatives: a structured method for appraisal.

BACKGROUND: Despite criticisms that many quality improvement (QI) initiatives fail due to incomplete programme theory, there is no defined way to evaluate how programme theory has been articulated. The objective of this research was to develop, and assess the usability and reliability of scoring criteria to evaluate programme theory diagrams. METHODS: Criteria development was informed by published literature and QI experts. Inter-rater reliability was tested between two evaluators. About 63 programme theory diagrams (42 driver diagrams and 21 action-effect diagrams) were reviewed to establish whether the criteria could support comparative analysis of different approaches to constructing diagrams. RESULTS: Components of the scoring criteria include: assessment of overall aim, logical overview, clarity of components, cause-effect relationships, evidence and measurement. Independent reviewers had 78% inter-rater reliability. Scoring enabled direct comparison of different approaches to developing programme theory; action-effect diagrams were found to have had a statistically significant but moderate improvement in programme theory quality over driver diagrams; no significant differences were observed based on the setting in which driver diagrams were developed. CONCLUSIONS: The scoring criteria summarise the necessary components of programme theory that are thought to contribute to successful QI projects. The viability of the scoring criteria for practical application was demonstrated. Future uses include assessment of individual programme theory diagrams and comparison of different approaches (e.g. methodological, teaching or other QI support) to produce programme theory. The criteria can be used as a tool to guide the production of better programme theory diagrams, and also highlights where additional support for QI teams could be needed.

Adapting improvements to context: when, why and how?

There is evidence that practitioners applying quality improvements often adapt the improvement method or the change they are implementing, either unknowingly, or intentionally to fit their service or situation. This has been observed especially in programs seeking to spread or 'scale up' an improvement change to other services. Sometimes their adaptations result in improved outcomes, sometimes they do not, and sometimes they do not have data make this assessment or to describe the adaptation. The purpose of this paper is to summarize key points about adaptation and context discussed at the Salzburg Global Seminar in order to help improvers judge when and how to adapt an improvement change. It aims also to encourage more research into such adaptations to develop our understanding of the when, why and how of effective adaptation and to provide more research informed guidance to improvers.The paper gives examples to illustrate key issues in adaptation and to consider more systematic and purposeful adaptation of improvements so as to increase the chances of achieving improvements in different settings for different participants. We describe methods for assessing whether adaptation is necessary or likely to reduce the effectiveness of an improvement intervention, which adaptations might be required, and methods for collecting data to assess whether the adaptations are successful. We also note areas where research is most needed in order to enable more effective scale up of quality improvements changes and wider take up and use of the methods.

Unpacking the black box of improvement.

During the Salzburg Global Seminar Session 565-'Better Health Care: How do we learn about improvement?', participants discussed the need to unpack the 'black box' of improvement. The 'black box' refers to the fact that when quality improvement interventions are described or evaluated, there is a tendency to assume a simple, linear path between the intervention and the outcomes it yields. It is also assumed that it is enough to evaluate the results without understanding the process of by which the improvement took place. However, quality improvement interventions are complex, nonlinear and evolve in response to local settings. To accurately assess the effectiveness of quality improvement and disseminate the learning, there must be a greater understanding of the complexity of quality improvement work. To remain consistent with the language used in Salzburg, we refer to this as 'unpacking the black box' of improvement. To illustrate the complexity of improvement, this article introduces four quality improvement case studies. In unpacking the black box, we present and demonstrate how Cynefin framework from complexity theory can be used to categorize and evaluate quality improvement interventions. Many quality improvement projects are implemented in complex contexts, necessitating an approach defined as 'probe-sense-respond'. In this approach, teams experiment, learn and adapt their changes to their local setting. Quality improvement professionals intuitively use the probe-sense-respond approach in their work but document and evaluate their projects using language for 'simple' or 'complicated' contexts, rather than the 'complex' contexts in which they work. As a result, evaluations tend to ask 'How can we attribute outcomes to the intervention?', rather than 'What were the adaptations that took place?'. By unpacking the black box of improvement, improvers can more accurately document and describe their interventions, allowing evaluators to ask the right questions and more adequately evaluate quality improvement interventions.

Patient and public views about the security and privacy of Electronic Health Records (EHRs) in the UK: results from a mixed methods study.

BACKGROUND: Although policy discourses frame integrated Electronic Health Records (EHRs) as essential for contemporary healthcare systems, increased information sharing often raises concerns among patients and the public. This paper examines patient and public views about the security and privacy of EHRs used for health provision, research and policy in the UK. METHODS: Sequential mixed methods study with a cross-sectional survey (in 2011) followed by focus group discussions (in 2012-2013). Survey participants (N = 5331) were recruited from primary and secondary care settings in West London (UK). Complete data for 2761 (51.8 %) participants were included in the final analysis for this paper. The survey results were discussed in 13 focus groups with people living with a range of different health conditions, and in 4 mixed focus groups with patients, health professionals and researchers (total N = 120). Qualitative data were analysed thematically. RESULTS: In the survey, 79 % of participants reported that they would worry about the security of their record if this was part of a national EHR system and 71 % thought the National Health Service (NHS) was unable to guarantee EHR safety at the time this work was carried out. Almost half (47 %) responded that EHRs would be less secure compared with the way their health record was held at the time of the survey. Of those who reported being worried about EHR security, many would nevertheless support their development (55 %), while 12 % would not support national EHRs and a sizeable proportion (33 %) were undecided. There were also variations by age, ethnicity and education. In focus group discussions participants weighed up perceived benefits against potential security and privacy threats from wider sharing of information, as well as discussing other perceived risks: commercial exploitation, lack of accountability, data inaccuracies, prejudice and inequalities in health provision. CONCLUSIONS: Patient and public worries about the security risks associated with integrated EHRs highlight the need for intensive public awareness and engagement initiatives, together with the establishment of trustworthy security and privacy mechanisms for health information sharing.

Quality of locally designed surveys in a quality improvement collaborative: review of survey validity and identification of common errors.

OBJECTIVE: Surveys are a commonly used tool in quality improvement (QI) projects, but little is known about the standards to which they are designed and applied. We aimed to investigate the quality of surveys used within a QI collaborative, and to characterise the common errors made in survey design. METHODS: Five reviewers (two research methodology and QI, three clinical and QI experts) independently assessed 20 surveys, comprising 250 survey items, that were developed in a North American cystic fibrosis lung transplant transition collaborative. Content Validity Index (CVI) scores were calculated for each survey. Reviewer consensus discussions decided an overall quality assessment for each survey and survey item (analysed using descriptive statistics) and explored the rationale for scoring (using qualitative thematic analysis). RESULTS: 3/20 surveys scored as high quality (CVI >80%). 19% (n=47) of survey items were recommended by the reviewers, with 35% (n=87) requiring improvements, and 46% (n=116) not recommended. Quality assessment criteria were agreed upon. Types of common errors identified included the ethics and appropriateness of questions and survey format; usefulness of survey items to inform learning or lead to action, and methodological issues with survey questions, survey response options; and overall survey design. CONCLUSION: Survey development is a task that requires careful consideration, time and expertise. QI teams should consider whether a survey is the most appropriate form for capturing information during the improvement process. There is a need to educate and support QI teams to adhere to good practice and avoid common errors, thereby increasing the value of surveys for evaluation and QI. The methodology, quality assessment criteria and common errors described in this paper can provide a useful resource for this purpose.

Patient and public views on electronic health records and their uses in the United kingdom: cross-sectional survey.

BACKGROUND: The development and implementation of electronic health records (EHRs) remains an international challenge. Better understanding of patient and public attitudes and the factors that influence overall levels of support toward EHRs is needed to inform policy. OBJECTIVE: To explore patient and public attitudes toward integrated EHRs used simultaneously for health care provision, planning and policy, and health research. METHODS: Cross-sectional questionnaire survey administered to patients and members of the public who were recruited from a stratified cluster random sample of 8 outpatient clinics of a major teaching hospital and 8 general practices in London (United Kingdom). RESULTS: 5331 patients and members of the public responded to the survey, with 2857 providing complete data for the analysis presented here. There were moderately high levels of support for integrated EHRs used simultaneously for health care provision, planning and policy, and health research (1785/2857, 62.47%), while 27.93% (798/2857) of participants reported being undecided about whether or not they would support EHR use. There were higher levels of support for specific uses of EHRs. Most participants were in favor of EHRs for personal health care provision (2563/2857, 89.71%), with 66.75% (1907/2857) stating that they would prefer their complete, rather than limited, medical history to be included. Of those "undecided" about integrated EHRs, 87.2% (696/798) were nevertheless in favor of sharing their full (373/798, 46.7%) or limited (323/798, 40.5%) records for health provision purposes. There were similar high levels of support for use of EHRs in health services policy and planning (2274/2857, 79.59%) and research (2325/2857, 81.38%), although 59.75% (1707/2857) and 67.10% (1917/2857) of respondents respectively would prefer their personal identifiers to be removed. Multivariable analysis showed levels of overall support for EHRs decreasing with age. Respondents self-identifying as Black British were more likely to report being undecided or unsupportive of national EHRs. Frequent health services users were more likely to report being supportive than undecided. CONCLUSIONS: Despite previous difficulties with National Health Service (NHS) technology projects, patients and the public generally support the development of integrated EHRs for health care provision, planning and policy, and health research. This support, however, varies between social groups and is not unqualified; relevant safeguards must be in place and patients should be guided in their decision-making process, including increased awareness about the benefits of EHRs for secondary uses.

Maternal obesity: Perinatal implications.

Over the previous three decades, the prevalence and growth of overweight and obese status has risen relentlessly in both the general population and pregnant women. This rise is seen in both higher pre-pregnancy body mass index measurements along with excessive weight gain during pregnancy. Maternal obesity has been shown to exacerbate co-morbidities such as insulin resistance, pregnancy induced hypertension, and infectious states in parturient mothers. These changes have been shown to subsequently increase rates of fetal anomalies and affect fetal growth, as well as various aspects of the delivery such as rates of instrumented vaginal deliveries and an increase in delivery by cesarean section. Maternal obesity increases fetal birth weight, influences the delivery room resuscitation of the neonate by increasing the need for respiratory support, and increases the risk of neonatal hypoxic ischemic encephalopathy. This review also looks at recent studies revealing the strong association between maternal and offspring obesity and other long-term neurodevelopmental outcomes of offspring.