Treatment Harms in Paediatric Primary Care.

The aim of this study was to describe the epidemiology in children of harms detectable from general practice records, and to identify risk factors. The SHARP study examined 9076 patient records from 44 general practices in New Zealand, with an enrolled population of 210,559 patients. "Harm" was defined as disease, injury, disability, suffering, and death, arising from the health system. The age group studied was ≤20 years of age. There were 193 harms to 141 children and adolescents during the 3-year study period. Harms were reported in one (3.5%) patient aged <2 years, 80 (6.6%) aged 2 to <12 years, 36 (4.9%) aged 12 to <18 years, and 24 (7.5%) aged 18 to ≤20 years. The annualised rates of harm were 36/1000 child and adolescent population for all harms, 20/1000 for medication-related harm (MRH), 2/1000 for severe MRH, and 0.4/1000 for hospitalisation. For MRH, the drug groups most frequently involved were anti-infectives (51.9%), genitourinary (15.4%), dermatologicals (12.5%), and the nervous system (9.6%). Treatment-related harm in children was less common than in a corresponding adult population. MRH was the most common type of harm and was related to the most common treatments used. The risk of harm increased with the number of consultations.

Epidemiology of healthcare harm in New Zealand general practice: a retrospective records review study.

OBJECTIVES: To determine the epidemiology of healthcare harm observable in general practice records. DESIGN: Retrospective cohort records review study. SETTING: 72 general practice clinics were randomly selected from all 988 New Zealand clinics stratified by rurality and size; 44 clinics consented to participate. PARTICIPANTS: 9076 patient records were randomly selected from participating clinics. INTERVENTION: Eight general practitioners examined patient records (2011-2013) to identify harms, harm severity and preventability. Analyses were weighted to account for the stratified sampling design and generalise findings to all New Zealand patients. MAIN OUTCOME MEASURES: Healthcare harm, severity and preventability. RESULTS: Reviewers identified 2972 harms affecting 1505 patients aged 0-102 years. Most patients (82.0%, weighted) experienced no harm. The estimated incidence of harm was 123 per 1000 patient-years. Most harms (2160; 72.7%, 72.4% weighted) were minor, 661 (22.2%, 22.8% weighted) were moderate, and 135 (4.5%, 4.4% weighted) severe. Eleven patients died, five following a preventable harm. Of the non-fatal harms, 2411 (81.6%, 79.4% weighted) were considered not preventable. Increasing age and number of consultations were associated with increased odds of harm. Compared with patients aged ≤49 years, patients aged 50-69 had an OR of 1.77 (95% CI 1.61 to 1.94), ≥70 years OR 3.23 (95% CI 2.37 to 4.41). Compared with patients with ≤3 consultations, patients with 4-12 consultations had an OR of 7.14 (95% CI 5.21 to 9.79); ≥13 consultations OR 30.06 (95% CI 21.70 to 41.63). CONCLUSIONS: Strategic balancing of healthcare risks and benefits may improve patient safety but will not necessarily eliminate harms, which often arise from standard care. Reducing harms considered 'not preventable' remains a laudable challenge.

Medication-related harm in New Zealand general practice: a retrospective records review.

BACKGROUND: The extent of medication-related harm in general practice is unknown. AIM: To identify and describe all medication-related harm in electronic general practice records. The secondary aim was to investigate factors potentially associated with medication-related harm. DESIGN AND SETTING: Retrospective cohort records review study in 44 randomly selected New Zealand general practices for the 3 years 2011-2013. METHOD: Eight GPs reviewed 9076 randomly selected patient records. Medication-related harms were identified when the causal agent was prescribed in general practice. Harms were coded by type, preventability, and severity. The number and proportion of patients who experienced medication-related harm was calculated. Weighted logistic regression was used to identify factors associated with harm. RESULTS: In total, 976 of 9076 patients (10.8%) experienced 1762 medication-related harms over 3 years. After weighting, the incidence rate of all medication-related harms was 73.9 harms per 1000 patient-years, and the incidence of preventable, or potentially preventable, medication-related harms was 15.6 per 1000 patient-years. Most harms were minor (n = 1385/1762, 78.6%), but around one in five harms were moderate or severe (n = 373/1762, 21.2%); three patients died. Eighteen study patients were hospitalised; after weighting this correlates to a hospitalisation rate of 1.1 per 1000 patient-years. Increased age, number of consultations, and number of medications were associated with increased risk of medication-related harm. Cardiovascular medications, antineoplastic and immunomodulatory agents, and anticoagulants caused most harm by frequency and severity. CONCLUSION: Medication-related harm in general practice is common. This study adds to the evidence about the risk posed by medication in the real world. Findings can be used to inform decision making in general practice.

Exploring the value of social network 'care maps' in the provision of long-term conditions care.

OBJECTIVES: There is renewed attention to the role of social networks as part of person-centred long-term conditions care. We sought to explore the benefits of 'care maps' - a patient-identified social network map of their care community - for health professionals in providing person-centred care. METHODS: We piloted care maps with 39 patients with long-term conditions in three urban and one rural general practice and two hospital wards. We interviewed the health professionals (n = 39) of these patients about what value, if any, care maps added to patient care. We analysed health professional interview data using thematic analysis to identify common themes. RESULTS: Health professionals all said they learned about their patients as a person-in-context. There was an increased understanding of patients' support networks, synthesising what is known and unknown. Health professionals understood patients' perceptions of health professionals and what really mattered to patients. There was discussion about the therapeutic value of care maps. The maps prompted reflection on practice. DISCUSSION: Care maps facilitated a broader focus than the clinical presentation. Using care maps may enable health professionals to support self-management rather than feeling responsible for many aspects of care. Care maps had 'social function' for health professionals. They may be a valuable tool for patients and clinicians to bridge the gap between medical treatment and patients' lifeworlds.

Characteristics of a stratified random sample of New Zealand general practices.

INTRODUCTION Practice size and location may affect the quality and safety of health care. Little is known about contemporary New Zealand general practice characteristics in terms of staffing, ownership and services. AIM To describe and compare the characteristics of small, medium and large general practices in rural and urban New Zealand. METHODS Seventy-two general practices were randomly selected from the 2014 Primary Health Organisation database and invited to participate in a records review study. Forty-five recruited practices located throughout New Zealand provided data on staff, health-care services and practice ownership. Chi-square and other non-parametric statistical analyses were used to compare practices. RESULTS The 45 study practices constituted 4.6% of New Zealand practices. Rural practices were located further from the nearest regional base hospital (rural median 65.0 km, urban 7.5 km (P < 0.001)), nearest local hospital (rural 25.7 km, urban 7.0 km (P = 0.002)) and nearest neighbouring general practitioner (GP) (rural 16.0 km, urban 1.0 km (P = 0.007)). In large practices, there were more enrolled patients per GP FTE than both medium-sized and small practices (mean 1827 compared to 1457 and 1120 respectively, P = 0.019). Nurses in large practices were more likely to insert intravenous lines (P = 0.026) and take blood (P = 0.049). There were no significant differences in practice ownership arrangements according to practice size or rurality. CONCLUSION Study practices were relatively homogenous. Unsurprisingly, rural practices were further away from hospitals. Larger practices had higher patient-to-doctor ratios and increased nursing scope. The study sample is small; findings need to be confirmed by specifically powered research.

Communities of clinical practice in action: Doing whatever it takes.

Burgeoning numbers of patients with long-term conditions requiring complex care have placed pressures on healthcare systems around the world. In New Zealand, complex patients are increasingly being managed within the community. The Community of Clinical Practice concept identifies the network of carers around an individual patient whose central participants share a common purpose of increasing that patient's well-being. We conducted a focused ethnography of nine communities of clinical practice in one general practice setting using participant observation and interviews, and examined the patients' medical records. Data were analysed using a template organising style. Communities of clinical practice were interprofessional and included informal supports, services and non-professionals. These communities of clinical practice mediate practice, utilising informal networks to cut across boundaries, bureaucracy, mandated clinical pathways and professional jurisdictions to achieve optimum patient-centred care. Communities of clinical practice's repertoires are characterised by care and are driven by the moral imperative to care. They do 'whatever it takes', although there is a cost to this form of care. Well-functioning communities of clinical practice use patient's well-being as a guiding light and, by sharing a vision of care through trusting and respectful relationships, avoid fragmentation of care. The Community of Clinical Practice (CoCP) model is particularly useful in accounting for the 'messiness' of community-based care.

Moral Economy and Moral Capital in the Community of Clinical Practice.

This New Zealand study used focused ethnography to explore the activities of communities of clinical practice (CoCP) in a community-based long-term conditions management program within a large primary health care clinic. CoCP are the informal vehicles by which patient care was delivered within the program. Here, we describe the CoCP as a micro-level moral economy within which values such as trust, respect, authenticity, reciprocity, and obligation circulate as a kind of moral capital. As taxpayers, citizens who become patients are credited with moral capital because the public health system is funded by taxes. This moral capital can be paid forward, accrued, banked, redeemed, exchanged, and forfeited by patients and their health care professionals during the course of a patient's journey. The concept of moral capital offers another route into the "black box" of clinical work by providing an alternative theoretic for explaining the relational aspects of patient care.

Research using electronic health records: Balancing confidentiality and public good.

General practitioners are increasingly approached to participate in research and share de-identified patient information. Research using electronic health records has considerable potential for improving the quality and safety of patient care. Obtaining individual patient consent for the use of the information is usually not feasible. In this article we explore the ethical issues in using personal health information in research without patient consent including the threat to confidentially and the doctor-patient relationship, and we discuss how the risks can be minimised and managed drawing on our experience as general practitioners and researchers.

Training generalist doctors for rural practice in New Zealand.

Targeted postgraduate training increases the likelihood young doctors will take up careers in rural generalist medicine. This article describes the postgraduate pathways that have evolved for these doctors in New Zealand. The Cairns consensus statement 2014 defined rural medical generalism as a scope of practice that encompasses primary care, hospital or secondary care, emergency care, advanced skill sets and a population-based approach to the health needs of rural communities. Even as work goes on to define this role different jurisdictions have developed their own training pathways for these important members of the rural healthcare workforce. In 2002 the University of Otago developed a distance-taught postgraduate diploma aimed at the extended practice of rural general practitioners (GPs) and rural hospital medical officers. This qualification has evolved into a 4-year vocational training program in rural hospital medicine, with the university diploma retained as the academic component. The intentionally flexible and modular nature of the rural hospital training program and university diploma allow for a range of training options. The majority of trainees are taking advantage of this by combining general practice and rural hospital training. Although structured quite differently the components of this combined pathway looks similar to the Australian rural generalist pathways. There is evidence that the program has had a positive impact on the New Zealand rural hospital medical workforce.

Shared care requires a shared vision: communities of clinical practice in a primary care setting.

AIMS AND OBJECTIVES: To understand how a vision of care is formed and shared by patients and the primary care professionals involved in their care. BACKGROUND: To achieve the best health outcomes, it is important for patients and those who care for them to have a mutual understanding about what is important to the patient in their everyday life and why, and what care is necessary to realise this vision. Shared or team care does not necessarily translate to a consistent and integrated approach to a patient's care. An individual patient's care network of clinical and lay participants can be conceptualised as the patient's own 'Community of Clinical Practice' of which they are the central member. DESIGN: Working alongside a long-term conditions nursing team, we conducted a focused ethnography of nine 'Communities of Clinical Practice' in one general practice setting. METHOD: Participant observation, in-depth qualitative interviews with 24 participants including nine patients, and the patients' medical records. Data were analysed using a template organising style. FINDINGS: Primary care professionals' insight into a patient's vision of care evolves through a deep knowing of the patient over time; this is shared between 'Community of Clinical Practice' members, frequently through informal communication and realised through respectful dialogue. These common values - respect, authenticity, autonomy, compassion, trust, care ethics, holism - underpin the development of a shared vision of care. CONCLUSIONS: A patient's vision of care, if shared, provides a focus around which 'Community of Clinical Practice' members cohere. Nurses play an important role in sharing the patient's vision of care with other participants. RELEVANCE TO CLINICAL PRACTICE: A shared vision of care is an aspirational concept which is difficult to articulate but with attentiveness, sustained authentic engagement and being driven by values, it should evolve amongst the core participants of a 'Community of Clinical Practice'.

Epidemiology of Patient Harms in New Zealand: Protocol of a General Practice Records Review Study.

BACKGROUND: Knowing where and why harm occurs in general practice will assist patients, doctors, and others in making informed decisions about the risks and benefits of treatment options. Research to date has been unable to verify the safety of primary health care and epidemiological research about patient harms in general practice is now a top priority for advancing health systems safety. OBJECTIVE: We aim to study the incidence, distribution, severity, and preventability of the harms patients experience due to their health care, from the whole-of-health-system lens afforded by electronic general practice patient records. METHODS: "Harm" is defined as disease, injury, disability, suffering, and death, arising from the health system. The study design is a stratified, 2-level cluster, retrospective records review study. Both general practices and patients will be randomly selected so that the study's results will apply nationally, after weighting. Stratification by practice size and rurality will allow comparisons between 6 study groups (large, medium-sized, small; urban and rural practices). Records of equal numbers of patients from each study group will be included in the study because there may be systematic differences in patient harms in different types of practices. Eight general practitioner investigators will review 3 years of electronic general practice health records (consultation notes, prescriptions, investigations, referrals, and summaries of hospital care) from 9000 patients registered in 60 general practices. Double-blinded reviews will check the concordance of reviewers' assessments. Study data will comprise demographic data of all 9000 patients and reviewers' assessments of whether patients experienced harm arising from health care. Where patient harm is identified, their types, preventability, severity, and outcomes will be coded using the Medical Dictionary for Regulatory Activities (MedDRA) 18.0. RESULTS: We have recruited practices and collected electronic records from 9078 patients. Reviews of these records are under way. The study is expected to be completed in August 2017. CONCLUSIONS: The design of this complex study is presented with discussion on data collection methods, sampling weights, power analysis, and statistical approach. This study will show the epidemiology of patient harms recorded in general practice records for all of New Zealand and will show whether this epidemiology differs by rural location and clinic size.

A Change in Students' Perceptions of Peer and Faculty Attitudes to Rural Medicine following the Introduction of a Rural Health Rotation.

Introduction. In 2000, the Dunedin School of Medicine (one of Otago Medical School's 3 clinical schools) introduced 7-week rural placement. A survey of students conducted before attending the placement showed that most students did not perceive faculty to have a positive view of rural health. In 2007, we explored whether students' perceptions had changed. Method. All 5th year medical students at Otago Medical School were surveyed using items from the original study. The perceptions of students in Dunedin were compared with those of students in the other clinical schools (no rural rotation) and with those of students in the original study. Results. In 2007, there was a significantly increased likelihood of students from Dunedin reporting perceptions of positive faculty attitudes towards rural health compared with students from the other two clinical schools and with Dunedin students from the original survey. Conclusion. The results suggest that student perceptions of faculty attitudes in the school towards rural health may be changed following the introduction of a general practice rural placement to its curriculum.

The Safe and Effective Clinical Outcomes (SECO) clinic: learning responsibility for patient care through simulation.

BACKGROUND: This article describes a simulated General Practice clinic for medical students, which incorporates specific features to aid learning of clinical problem solving. DESCRIPTION: We outline the overall objectives of the simulation, explain the concept, and describe how the clinic works. The clinic is novel in that it utilises clinical outcomes as measures for student success in the consultation. There are no time restrictions on a consultation. Students are unobserved and have open access to clinical information and telephone advice from a senior colleague. EVALUATION: The achievement of the case-specific outcomes is assessed by reference to students' clinical notes and the responses of the simulated patients to specific scenario-related questions. Following the clinic there is a debrief session, and students are provided with the evidence base and outcomes for each scenario. CONCLUSIONS: The clinic has been part of our undergraduate curriculum since 2004. Collectively, students rate it as their most effective learning experience.

Public and private funding of general practice services for children and adolescents in New Zealand.

OBJECTIVE: To measure public and private funding of general practice services for New Zealand children. METHODS: Computerized records from 111 general practices provided private payments for 118,905 general practice services to children aged 6-17 years. Government subsidies and public insurance payments provided public funding amounts for seven services. Overall and for each service we estimated the ratio of public:private payments (RPPP). RESULTS: 64.0% of annual expenditure was public, 36.0% private, (RPPP=1:0.56). General medical consultations were 67.2% of services (RPPP=1:0.57); 15.3% were injury-related (RPPP=1:0.36); 5.2% were prescribing services (all private); 4.9% were immunizations (RPPP=1:0.12); 2.9% were nursing (RPPP=1:1.33); 4.4% were administration (all private); and 0.1% were for maternity care (RPPP=1:0.007). Before capitation funding, public and private funding levels for general medical consultations were similar (RPPP=1:0.93) but after capitation public payments more than doubled (RPPP=1:0.40). CONCLUSION: There is a complex of pattern of public and private payments for general practice services for children and adolescents in New Zealand. Both funding sources are critical. Capitation funding changed the balance substantially but did not remove ongoing reliance on private funding to support general practice care for children.

Rural hospitals in New Zealand: results from a survey.

AIM: To describe the variety and range of work that New Zealand rural hospitals perform, and to examine the factors that might influence either of these, including: the characteristics of the doctors who work in rural hospitals; the facilities available; and environmental factors (such as geographical isolation and the size of the catchment population). METHOD: Structured postal questionnaire. RESULTS: There are about 44 rural hospitals in New Zealand, depending on definition. Catchment populations range from 750 to 45,000. They are staffed by either Medical Officers of Special Scale (MOSSes) or General Practitioners (GPs). They have varying levels of resources such as laboratory services and radiology services available on-site. They care for a wide range of patients and manage health conditions covering many different vocational areas of practice. CONCLUSION: Rural hospitals should be defined and recognised as a distinct entity to assist the development of appropriate vocational training pathways for their staff. They play an important and unique role in New Zealand's healthcare system which is currently unrecognised.

Otago rural hospitals study: what do utilisation rates tell us about the performance of New Zealand rural hospitals?

AIM: To provide a description of the role and function of Otago Province's three main rural hospitals, utilising analysis of hospital discharge data for the period July 2001 to June 2002. METHODS: Calculation of hospitalisation rates based on analysis of information contained in the National Minimum Dataset (Hospital Events); Census data from Statistics New Zealand; and local knowledge of hospital utilisation by geographical district. RESULTS: A comparison between the rural Otago population and New Zealand (as a whole) show age-standardised hospitalisation rates of 19,847 vs 19,930 per 100,000, and a mean length of hospital stay of 4.5 days vs 6.8 days respectively. Patients aged over 75 years account for 49% of the work of rural Otago hospitals calculated by total bed days; 9% of patients account for 28% of the total discharges. CONCLUSIONS: Results show that Otago's rural hospitals (when compared to the New Zealand average) provide an efficient and appropriate service for their communities when judged by hospitalisation rates, mean length of stay, and patient groups cared for. There are serious difficulties encountered in using the National Minimum Dataset to analyse the workload of a rural hospital. An agreed methodology to overcome these difficulties is needed as they have significant implications for service planning and resource allocation for rural hospitals in New Zealand.