Designing, Developing, and Validating a Set of Standardized Pictograms to Support Pediatric-Reported Gastroduodenal Symptoms.

OBJECTIVE: To develop and validate a set of static and animated gastroduodenal symptom pictograms for children. STUDY DESIGN: There were 3 study phases: 1: cocreation using experience design methods to develop pediatric gastroduodenal symptom pictograms (static and animated); 2: an online survey to assess acceptability, as well as face and content validity; and 3: a preference study. Phases 2 and 3 compared the novel pediatric pictograms with existing pictograms used with adult patients. RESULTS: Eight children aged 6-15 years (5 female) participated in phase 1, and 69 children in phase 2 (median age 13 years: IQR 9-15); an additional 49 participants were included in phase 3 (median age 15: IQR 12-17). Face and content validity were higher for the pediatric static and animated pictogram sets compared with pre-existing adult pictograms (78% vs 78% vs 61%). Participants with worse gastric symptoms had superior comprehension of the pediatric pictograms (χ2 [8, N = 118] P < .001). All participants preferred the pediatric static pictogram set was over both the animated and adult sets (χ2 [2, N = 118] P < .001). CONCLUSIONS: The cocreation phase resulted in the symptom concept confirmation and design of 10 acceptable static and animated gastroduodenal pictograms with high face and content validity when evaluated with children aged 6-18. Validity was superior when children reported more problematic symptoms. Therefore, these pictograms could be used in clinical and research practice to enable standardized symptom reporting for children with gastroduodenal disorders.

Long-Term Impact of a Smartphone App on Prescriber Adherence to Antibiotic Guidelines for Adult Patients With Community-Acquired Pneumonia: Interrupted Time-Series Study.

BACKGROUND: Mobile health platforms like smartphone apps that provide clinical guidelines are ubiquitous, yet their long-term impact on guideline adherence remains unclear. In 2016, an antibiotic guidelines app, called SCRIPT, was introduced in Auckland City Hospital, New Zealand, to provide local antibiotic guidelines to clinicians on their smartphones. OBJECTIVE: We aimed to assess whether the provision of antibiotic guidelines in a smartphone app resulted in sustained changes in antibiotic guideline adherence by prescribers. METHODS: We analyzed antibiotic guideline adherence rates during the first 24 hours of hospital admission in adults diagnosed with community-acquired pneumonia using an interrupted time-series study with 3 distinct periods post app implementation (ie, 3, 12, and 24 months). RESULTS: Adherence increased from 23% (46/200) at baseline to 31% (73/237) at 3 months and 34% (69/200) at 12 months, reducing to 31% (62/200) at 24 months post app implementation (P=.07 vs baseline). However, increased adherence was sustained in patients with pulmonary consolidation on x-ray (9/63, 14% at baseline; 23/77, 30% after 3 months; 32/92, 35% after 12 month; and 32/102, 31% after 24 months; P=.04 vs baseline). CONCLUSIONS: An antibiotic guidelines app increased overall adherence, but this was not sustained. In patients with pulmonary consolidation, the increased adherence was sustained.

Adapting an Evidence-Based e-Learning Cognitive Behavioral Therapy Program Into a Mobile App for People Experiencing Gambling-Related Problems: Formative Study.

BACKGROUND: Many people who experience harm and problems from gambling do not seek treatment from gambling treatment services because of personal and resource barriers. Mobile health (mHealth) interventions are widely used across diverse health care areas and populations. However, there are few in the gambling harm field, despite their potential as an additional modality for delivering treatment and support. OBJECTIVE: This study aims to understand the needs, preferences, and priorities of people experiencing gambling harms and who are potential end users of a cognitive behavioral therapy mHealth intervention to inform design, features, and functions. METHODS: Drawing on a mixed methods approach, we used creators and domain experts to review the GAMBLINGLESS web-based program and convert it into an mHealth prototype. Each module was reviewed against the original evidence base to maintain its intended fidelity and conceptual integrity. Early wireframes, design ideas (look, feel, and function), and content examples were developed to initiate discussions with end users. Using a cocreation process with a young adult, a Maori, and a Pasifika peoples group, all with experiences of problem or harmful gambling, we undertook 6 focus groups: 2 cycles per group. In each focus group, participants identified preferences, features, and functions for inclusion in the final design and content of the mHealth intervention. RESULTS: Over 3 months, the GAMBLINGLESS web-based intervention was reviewed and remapped from 4 modules to 6. This revised program is based on the principles underpinning the transtheoretical model, in which it is recognized that some end users will be more ready to change than others. Change is a process that unfolds over time, and a nonlinear progression is common. Different intervention pathways were identified to reflect the end users' stage of change. In all, 2 cycles of focus groups were then conducted, with 30 unique participants (13 Maori, 9 Pasifika, and 8 young adults) in the first session and 18 participants (7 Maori, 6 Pasifika, and 5 young adults) in the second session. Prototype examples demonstrably reflected the focus group discussions and ideas, and the features, functions, and designs of the Manaaki app were finalized. Attributes such as personalization, cultural relevance, and positive framing were identified as the key. Congruence of the final app attributes with the conceptual frameworks of the original program was also confirmed. CONCLUSIONS: Those who experience gambling harms may not seek help. Developing and demonstrating the effectiveness of new modalities to provide treatment and support are required. mHealth has the potential to deliver interventions directly to the end user. Weaving the underpinning theory and existing evidence of effective treatment with end-user input into the design and development of mHealth interventions does not guarantee success. However, it provides a foundation for framing the intervention's mechanism, context, and content, and arguably provides a greater chance of demonstrating effectiveness.

See How They Grow: Testing the feasibility of a mobile app to support parents' understanding of child growth charts.

BACKGROUND: Mobile devices provide new opportunities for the prevention of overweight and obesity in children. We aimed to co-create and test an app that offered comprehensible feedback to parents on their child's growth and delivered a suite of age-specific information about nutrition and activity. METHODS: A two-phased approach was used to co-create the digital growth tool-See How They Grow-and test its feasibility. Phase one used focus groups (parents and professionals such as paediatricians and midwives) and a national on-line survey to gather requirements and build the app. Phase two involved testing the app over 12-weeks, with parents or carers of children aged ≤ 2-years. All research activities were undertaken exclusively through the app, and participants were recruited using social media and hard copy materials given to patents at a child health visit. FINDINGS: Four focus groups and 101 responses to the national survey informed the features and functions to include in the final app. Two hundred and twenty-five participants downloaded the app, resulting in 208 eligible participants. Non-Maori/Non-Pacific (78%) and Maori (14%) had the highest downloads. Fifty-four per cent of participants were parents of children under 6-months. These participants were more likely to regularly use the app than those with children older than 6-months (64% vs 36%, P = 0.011). Over half of the participants entered three measures (n = 101, 48%). Of those that completed the follow-up survey (n = 101, 48%), 72 reported that the app helped them better understand how to interpret growth charts. CONCLUSION: The app was acceptable and with minor modifications, has the potential to be an effective tool to support parents understanding of growth trajectories for their children. A larger trial is needed to evaluate if the app can have a measurable impact on increasing knowledge and behaviour, and therefore on preventing childhood overweight and obesity.

Manaaki - a cognitive behavioral therapy mobile health app to support people experiencing gambling problems: a randomized control trial protocol.

BACKGROUND: The low utilisation of current treatment services by people with gambling problems highlights the need to explore new modalities of delivering treatment interventions. This protocol presents the design of a pragmatic randomized control trial aimed at assessing the effectiveness and acceptability of cognitive behavioral therapy (CBT) delivered via a mobile app for people with self-reported gambling problems. METHODS: An innovative CBT mobile app, based on Deakin University's GAMBLINGLESS online program, has been adapted with end-users (Manaaki). Six intervention modules have been created. These are interwoven with visual themes to represent a journey of recovery and include attributes such as avatars, videos, and animations to support end-user engagement. An audio facility is used throughout the app to cater for different learning styles. Personalizing the app has been accomplished by using greetings in the participant's language and their name (e.g. Kia ora Tane) and by creating personalized feedback. A pragmatic, randomized control two-arm single-blind trial, will be conducted in New Zealand. We aim to recruit 284 individuals. Eligible participants are ≥18 years old, seeking help for their gambling, have access to a smartphone capable of downloading an app, able to understand the English language and are willing to provide follow-up information at scheduled time points. Allocation is 1:1, stratified by ethnicity, gender, and gambling symptom severity based on the Gambling Symptom Assessment Scale (G-SAS). The intervention group will receive the full mobile cognitive behavioural programme and the waitlist group will receive a simple app that counts down the time left before they have access to the full app and the links to the data collection tools. Data collection for both groups are: baseline, 4-, 8-, and 12-weeks post-randomisation. The primary outcome is a change in G-SAS scores. Secondary measures include changes in gambling urges, frequency, expenditure, and readiness to change. Indices of app engagement, utilisation and acceptability will be collected throughout the delivery of the intervention. DISCUSSION: If effective, this study will contribute to the improvement of health outcomes for people experiencing gambling problems and have great potential to reach population groups who do not readily engage with current treatment services. ETHICS APPROVAL: NZ Health and Disability Ethics Committee (Ref: 19/STH/204) TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry (ANZCTRN 12619001605189) Registered 1 November 2019.

A Web-Based Alcohol Risk Communication Tool: Development and Pretesting Study.

BACKGROUND: Alcohol use is a major public health concern associated with an increased risk of morbidity and mortality. Health professionals in primary care commonly see patients with a range of alcohol-related risks and problems, providing an ideal opportunity for screening and brief intervention (BI). OBJECTIVE: This study aimed to develop a prototype for a Web-based tool for use by primary care health professionals (eg, doctors and nurses) to communicate alcohol harm risk to their patients and to engage with them regarding ways this risk could be reduced. METHODS: Following conceptualization and development of prototype wireframes, formative work and pretesting were undertaken. For the formative work, focus groups and key informant interviews were conducted with potential end users of the risk communication tool, including health professionals and consumers. The focus groups and interviews explored perceptions of alcohol risk communication and obtained feedback on the initial prototype. For pretesting, participants (primary care doctors and nurses) completed a Web-based survey followed by a period of pretesting before completion of a follow-up survey. The study was designed to gain feedback on the tool's performance in real-world settings as well as its relevance, ease of use, and any suggested refinements. RESULTS: In the formative work stage, 11 key informants and 7 consumers participated in either focus groups or individual interviews. Participants were very positive about the prototype and believed that it would be useful and acceptable in practice. Key informants identified that the key point of difference with the tool was that it provided all the pieces in 1 place (ie, assessment, interpretation, and resources to support change). Participants provided feedback on how the tool could be improved, and these suggestions were incorporated into the prototype where possible. In the pretesting stage, 7 people (5 doctors and 2 primary care nurses) completed the pretesting. Participants reported that the tool provided a useful framework for an intervention, that it would be acceptable to patients, that it was easy to use, that they would be likely to use it in practice, and that there were no technical issues. CONCLUSIONS: The alcohol risk communication tool was found to be acceptable and has the potential to increase the confidence of health professionals in assessing risk and providing BI.

Understanding End-User Perspectives of Mobile Pulmonary Rehabilitation (mPR): Cross-Sectional Survey and Interviews.

BACKGROUND: Pulmonary rehabilitation (PR) is an effective intervention for the management of people with chronic respiratory diseases, but the uptake of and adherence to PR programs is low. There is potential for mobile health (mHealth) to provide an alternative modality for the delivery of PR, overcoming many of the barriers contributing to poor attendance to current services. OBJECTIVE: The objective of this study was to understand the needs, preferences, and priorities of end users for the development of an adaptive mobile PR (mPR) support program. METHODS: A mixed methods (qualitative and quantitative) approach was used to assess the needs, preferences, and priorities of the end users (ie, patients with chronic respiratory disorders) and key stakeholders (ie, clinicians working with patients with chronic respiratory disorders and running PR). The formative studies included the following: (1) a survey to understand the preferences and priorities of patients for PR and how mobile technology could be used to provide PR support, (2) ethnographic semistructured interviews with patients with chronic respiratory disorders to gain perspectives on their understanding of their health and potential features that could be included in an mPR program, and (3) key informant interviews with health care providers to understand the needs, preferences, and priorities for the development of an mPR support program. RESULTS: Across all formative studies (patient survey, n=30; patient interviews, n=8; and key stakeholder interviews, n=8), the participants were positive about the idea of an mPR program but raised concerns related to digital literacy and confidence in using technology, access to technology, and loss of social support currently gained from traditional programs. Key stakeholders highlighted the need for patient safety to be maintained and ensuring appropriate programs for different groups within the population. Finding a balance between ensuring safety and maximizing access was seen to be essential in the success of an mPR program. CONCLUSIONS: These formative studies found high interest in mHealth-based PR intervention and detailed the potential for an mPR program to overcome current barriers to accessing traditional PR programs. Key considerations and features were identified, including the importance of technology access and digital literacy being considered in utilizing technology with this population.

Detection of smoking status from retinal images; a Convolutional Neural Network study.

Cardiovascular diseases are directly linked to smoking habits, which has both physiological and anatomical effects on the systemic and retinal circulations, and these changes can be detected with fundus photographs. Here, we aimed to 1- design a Convolutional Neural Network (CNN), using retinal photographs, to differentiate between smokers and non-smokers; and 2- use the attention maps to better understand the physiological changes that occur in the retina in smokers. 165,104 retinal images were obtained from a diabetes screening programme, labelled with self-reported "smoking" or "non-smoking" status. The images were pre-processed in one of two ways, either "contrast-enhanced" or "skeletonized". Experiments were run on an Intel Xeon Gold 6128 CPU @ 3.40 GHz with 16 GB of RAM memory and a NVIDIA GeForce TiTan V VOLTA 12 GB, for 20 epochs. The dataset was split 80/20 for training and testing sets, respectively. The overall validation outcomes for the contrast-enhanced model were accuracy 88.88%, specificity 93.87%. In contrast, the outcomes of the skeletonized model were accuracy 63.63%, specificity 65.60%. The "attention maps" that were generated of the contrast-enhanced model highlighted the retinal vasculature, perivascular region and the fovea most prominently. We trained a customized CNN to accurately determine smoking status. The retinal vasculature, the perivascular region and the fovea appear to be important predictive features in the determination of smoking status. Despite a high degree of accuracy, the sensitivity of our CNN was low. Further research is required to establish whether the frequency, duration, and dosage (quantity) of smoking would improve the sensitivity of the CNN.

Impact of a smartphone app on prescriber adherence to antibiotic guidelines in adult patients with community acquired pneumonia or urinary tract infections.

BACKGROUND: Mobile phone apps have been shown to enhance guideline adherence by prescribers, but have not been widely evaluated for their impact on guideline adherence by prescribers caring for inpatients with infections. OBJECTIVES: To determine whether providing the Auckland City Hospital (ACH) antibiotic guidelines in a mobile phone app increased guideline adherence by prescribers caring for inpatients with community acquired pneumonia (CAP) or urinary tract infections (UTIs). METHODS: We audited antibiotic prescribing during the first 24 hours after hospital admission in adults admitted during a baseline and an intervention period to determine whether provision of the app increased the level of guideline adherence. To control for changes in prescriber adherence arising from other factors, we performed similar audits of adherence to antibiotic guidelines in two adjacent hospitals. RESULTS: The app was downloaded by 145 healthcare workers and accessed a total of 3985 times during the three month intervention period. There was an increase in adherence to the ACH antibiotic guidelines by prescribers caring for patients with CAP from 19% (37/199) to 27% (64/237) in the intervention period (p = 0.04); but no change in guideline adherence at an adjacent hospital. There was no change in adherence to the antibiotic guidelines by prescribers caring for patients with UTI at ACH or at the two adjacent hospitals. CONCLUSIONS: Provision of antibiotic guidelines in a mobile phone app can significantly increase guideline adherence by prescribers. However, providing an app which allows easy access to antibiotic guidelines is not sufficient to achieve high levels of prescriber adherence.

A co-designed mHealth programme to support healthy lifestyles in Maori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial.

BACKGROUND: The OL@-OR@ mobile health programme was co-designed with Maori and Pasifika communities in New Zealand, to support healthy lifestyle behaviours. We aimed to determine whether use of the programme improved adherence to health-related guidelines among Maori and Pasifika communities in New Zealand compared with a control group on a waiting list for the programme. METHODS: The OL@-OR@ trial was a 12-week, two-arm, cluster-randomised controlled trial. A cluster was defined as any distinct location or setting in New Zealand where people with shared interests or contexts congregated, such as churches, sports clubs, and community groups. Members of a cluster were eligible to participate if they were aged 18 years or older, had regular access to a mobile device or computer, and had regular internet access. Clusters of Maori and of Pasifika (separately) were randomly assigned (1:1) to either the intervention or control condition. The intervention group received the OL@-OR@ mHealth programme (smartphone app and website). The control group received a control version of the app that only collected baseline and outcome data. The primary outcome was self-reported adherence to health-related guidelines, which were measured with a composite health behaviour score (of physical activity, smoking, alcohol intake, and fruit and vegetable intake) at 12 weeks. The secondary outcomes were self-reported adherence to health-related behaviour guidelines at 4 weeks; self-reported bodyweight at 12 weeks; and holistic health and wellbeing status at 12 weeks, in all enrolled individuals in eligible clusters; and user engagement with the app, in individuals allocated to the intervention. Adverse events were not collected. This study is registered with the Australian New Zealand Clinical Trials Registry, ACTRN12617001484336. FINDINGS: Between Jan 24 and Aug 14, 2018, we enrolled 337 Maori participants from 19 clusters and 389 Pasifika participants from 18 clusters (n=726 participants) in the intervention group and 320 Maori participants from 15 clusters and 405 Pasifika participants from 17 clusters (n=725 participants) in the control group. Of these participants, 227 (67%) Maori participants and 347 (89%) Pasifika participants (n=574 participants) in the intervention group and 281 (88%) Maori participants and 369 (91%) Pasifika participants (n=650 participants) in the control group completed the 12-week follow-up and were included in the final analysis. Relative to baseline, adherence to health-related behaviour guidelines increased at 12 weeks in both groups (315 [43%] of 726 participants at baseline to 329 [57%] of 574 participants in the intervention group; 331 [46%] of 725 participants to 369 [57%] of 650 participants in the control group); however, there was no significant difference between intervention and control groups in adherence at 12 weeks (odds ratio [OR] 1·13; 95% CI 0·84-1·52; p=0·42). Furthermore, the proportion of participants adhering to guidelines on physical activity (351 [61%] of 574 intervention group participants vs 407 [63%] of 650 control group participants; OR 1·03, 95% CI 0·73-1·45; p=0·88), smoking (434 [76%] participants vs 501 [77%] participants; 1·12, 0·67-1·87; p=0·66), alcohol consumption (518 [90%] participants vs 596 [92%] participants; 0·73, 0·37-1·44; p=0·36), and fruit and vegetable intake (194 [34%] participants vs 196 [30%] participants; 1·08, 0·79-1·49; p=0·64) did not differ between groups. We found no significant differences between the intervention and control groups in any secondary outcome. 147 (26%) intervention group participants engaged with the OL@-OR@ programme (ie, set at least one behaviour change goal online). INTERPRETATION: The OL@-OR@ mobile health programme did not improve adherence to health-related behaviour guidelines amongst Maori and Pasifika individuals. FUNDING: Healthier Lives He Oranga Hauora National Science Challenge.

Using codesign to develop a culturally tailored, behavior change mHealth intervention for indigenous and other priority communities: A case study in New Zealand.

The obesity rate in New Zealand is one of the highest worldwide (31%), with highest rates among Maori (47%) and Pasifika (67%). Codesign was used to develop a culturally tailored, behavior change mHealth intervention for Maori and Pasifika in New Zealand. The purpose of this article is to provide an overview of the codesign methods and processes and describe how these were used to inform and build a theory-driven approach to the selection of behavioral determinants and change techniques. The codesign approach in this study was based on a partnership between Maori and Pasifika partners and an academic research team. This involved working with communities on opportunity identification, elucidation of needs and desires, knowledge generation, envisaging the mHealth tool, and prototype testing. Models of Maori and Pasifika holistic well-being and health promotion were the basis for identifying key content modules and were applied to relevant determinants of behavior change and theoretically based behavior change techniques from the Theoretical Domains Framework and Behavior Change Taxonomy, respectively. Three key content modules were identified: physical activity, family/whanau [extended family], and healthy eating. Other important themes included mental well-being/stress, connecting, motivation/support, and health literacy. Relevant behavioral determinants were selected, and 17 change techniques were mapped to these determinants. Community partners established that a smartphone app was the optimal vehicle for the intervention. Both Maori and Pasifika versions of the app were developed to ensure features and functionalities were culturally tailored and appealing to users. Codesign enabled and empowered users to tailor the intervention to their cultural needs. By using codesign and applying both ethnic-specific and Western theoretical frameworks of health and behavior change, the mHealth intervention is both evidence based and culturally tailored.

Improving quality of clinical coding of post-partum haemorrhage: the process and its effects on reported incidence rates in a New Zealand hospital maternity service.

AIM: The Waitemata District Health Board (DHB) aimed to investigate and improve the accuracy of its reporting of post-partum haemorrhage (PPH), to understand its true incidence. METHOD: The quality improvement project included multidisciplinary collaboration between maternity clinicians and clinical coders, substantive redesign of the Waitemata DHB's birth documentation form, systematic auditing and follow-up of clinical documentation by a dedicated quality midwife, linking of maternity clinicians to a key designated senior coder and ongoing PPH incidence monitoring and staff education. RESULTS: The coded rate of PPH has risen dramatically and is now in line with expected Australasian incidence levels. A corresponding increase in the value of cost-weighted discharges (estimated at $544,000 for the 2015/16 financial year) was realised as a result of the more accurate reported incidence. CONCLUSION: This case illustrates the value of coding to a clinical service and the importance of clinical leadership and engagement in achieving successful and sustainable service redesign initiatives. It provides an example of how to evaluate and update coding and a process for changing the way clinicians and coders work that could benefit other services in Waitemata DHB as well as in other New Zealand district health boards.

Parental smoking during pregnancy: findings from the Growing Up in New Zealand cohort.

AIMS: To investigate patterns of exposure to tobacco smoke in pregnancy among a representative sample of New Zealand women. METHODS: Analyses of smoking-related data from the first wave of the Growing Up in New Zealand cohort study, ie from the first data-collection point during the antenatal period in 2009-10. RESULTS: Twenty percent of mothers reporting smoking before pregnancy and 9.9% of mothers continued during pregnancy. These figures were higher in younger women (p<.0001), women with lower educational achievement (p<.001) and Maori women (p<.001). Similarly, being Maori (p<.0001) and having a lower education achievement (p<.0029) were associated with smoking during an unplanned compared to a planned pregnancy. Multiparous mothers were more likely to be smokers than primaparous mothers (11%: 95% Confidence Interval [CI] 10.0-12.1 vs 8.3%: 95% CI 7.2-9.4). Second-hand smoke exposure was more common for younger women (Odds Ratio [OR] 3.2: 95% CI 1.6-6.4), Maori women (OR 1.9: 95% CI 1.4-2.5), and women with unplanned pregnancies (OR 3.4 95% CI 12.0-14.8). CONCLUSIONS: There are differences in a range of contextual and behavioural factors related to smoking before and during pregnancy. Low educational achievement, being young, Maori and multiparous were all associated with smoking during pregnancy. A better understanding of why these differences exist is needed in order to find appropriate interventions to support women in becoming smoke-free.

Why a shared care record is an official medical record.

The literature describes three categories of health records: the Official Medical Records held by healthcare providers, Personal Health Records owned by patients, and--a possible in between case--the Shared Care Record. New complications and challenges arise with electronic storage of this latter class of record; for instance, an electronic shared care record may have multiple authors, which presents challenges regarding the roles and responsibilities for record-keeping. This article discusses the definitions and implementations of official medical records, personal health records and shared care records. We also consider the case of a New Zealand pilot of developing and implementing a shared care record in the National Shared Care Planning Programme. The nature and purpose of an official medical record remains the same whether in paper or electronic form. We maintain that a shared care record is an official medical record; it is not a personal health record that is owned and controlled by patients, although it is able to be viewed and interacted with by patients. A shared care record needs to meet the same criteria for medico-legal and ethical duties in the delivery of shared care as pertain to any official medical record.

Usage analysis of a shared care planning system.

We examined the content of electronically mediated communications in a trial of shared care planning (SCP) for long-term condition management. Software supports SCP by sharing patient records and care plans among members of the multidisciplinary care team (with patient access). Our analysis focuses on a three-month period with 73 enrolled patients, 149 provider-assigned tasks, 64 clinical notes and 48 care plans with 162 plan elements. Results show that content of notes entries is often related to task assignment and that nurses are the most active users. Directions for refinement of the SCP technology are indicated, including better integration of notes, tasks and care team notifications, as well as the central role of nurses for design use cases. Broader issues are raised about workforce roles and responsibilities for SCP, integrating patient-provider and provider-provider communications, and the centrality of care plans as the key entity in mediation of the care team.

Assessing and communicating the health and judicial impact of alcohol use.

BACKGROUND: Alcohol consumption places an increasing burden on health services, criminal justice agencies and private industry throughout the UK. Despite a national strategy to tackle alcohol-related harm, there remains a lack of epidemiology on alcohol use and related harms at local levels. Utilising national data sources and existing research studies, Regional Public Health Observatories are appropriately placed to calculate such measures and examine their relationship with deprivation. METHODS: For the North West of England, borough and health locality data were extracted from national sources. Alcohol consumption utilised lifestyle survey data and estimates of related harm were calculated by applying existing alcohol attributable fractions to deaths, hospital episodes and crime data. Contribution of alcohol to reduction in life expectancy was also calculated and all measures were correlated with deprivation. RESULTS: For the North West, the annual burden of alcohol was estimated at over 3700 deaths, 56,700 hospital episodes and 71,000 crimes. Annual alcohol-related death rates for men varied from 0.43 to 1.17 per 1000 between Local Authorities and there was a six-fold variation in alcohol-related crime rate between areas. For males, alcohol reduced life expectancy by more than five months in the area worst affected. For both sexes, more deprived areas had significantly higher levels of alcohol-related hospital episodes, crime, and contribution to reduced life expectancy. CONCLUSIONS: Alcohol-related harm requires urgent, multi-agency attention at local levels throughout the UK. Applying appropriate research methods to national data sources provides limited but valuable local measures of alcohol use and its impact on health and crime. Regional Public Health Observatories can facilitate partnership working through such provision of national intelligence tailored to support local and regional action. Application of these techniques also helps identify additional requirements for better local intelligence on health-related behaviours and the necessity for consistency across local health and behaviour surveys.

Alcohol and injury among attendees at a New Zealand emergency department.

AIM: This study investigated the role of alcohol in injury cases among patients attending an emergency department in Auckland during December 2000. METHODS: A random sample of patients was interviewed and breath tested in the emergency department. Interviewing took place continuously for a three-week period. Using a case-crossover design the causal role of alcohol was assessed. RESULTS Thirty five per cent of injured patients reported having consumed alcohol prior to sustaining their injury; this is a high proportion compared with overseas research. Males and the under 30 years age group were over-represented in both alcohol-related and non alcohol-related injury cases. The risk of sustaining an injury was 2.8 times greater when alcohol was consumed. The median amount of self-reported absolute alcohol consumed prior to alcohol-involved injury was 103 ml (equivalent to about seven cans of beer), with the lower quartile at 37 ml and upper quartile at 246 ml. For injury cases reporting consumption of alcohol prior to their injury event, there was a cumulative risk of 1.14 for each 30 ml of absolute alcohol (two cans of beer) consumed. There were no differences between the quantity of alcohol consumed by males and females or younger and older participants. Of those with blood alcohol concentration (BAC) readings obtained from breath samples, 51% had BAC reading equal or greater than 0.300 mcg. Violence was found to be the cause of 17% of the injury cases and alcohol was reported as involved (victim and/or perpetrator) in 79% of these cases. Injury involving violence occurred most often in a public place or on a licensed outlet. CONCLUSIONS: This is the first study of alcohol involvement in injury presenting to an emergency department in New Zealand. Findings indicate that a relatively high proportion of injury cases requiring emergency department treatment were alcohol-related and that the risk of an injury occurring was significantly increased by consumption of alcohol.