Timothy Kenealy

Patients Prefer Pictures to Numbers to Express Cardiovascular Benefit From Treatment

PURPOSE This study aimed to determine which methods of expressing a preventive medication’s benefit encourage patients with known cardiovascular disease to decide to take the medication and which methods patients prefer. METHODS We identified patients in Auckland, New Zealand, family practices located in areas of differing socioeconomic status who had preexisting heart disease (myocardial infarction, angina, or both) and were taking statins. The patients were interviewed about their preference for methods of expressing the benefit of a hypothetical medication. Benefits were expressed numerically (relative risk, absolute risk, number needed to treat, odds ratio, natural frequency) and graphically. Statistical testing was adjusted for practice. RESULTS We interviewed 100 eligible patients, representing a 53% response rate. No matter how the risk was expressed, the majority of patients indicated they would be encouraged to take the medication. Two-thirds (68) of the patients preferred 1 method of expressing benefit over others. Of this group, 57% preferred the information presented graphically. This value was significantly greater (P <.001) than the 19% who chose the next most preferred option, relative risk. Few patients preferred absolute risk (13%) or natural frequencies (9%). Only a single patient (1%) preferred the odds ratio. None preferred number needed to treat. Ninety percent of patients responding to a question about framing preferred positive framing (description of the benefit of treatment) over negative framing (description of the harm of not being treated). CONCLUSIONS Although number needed to treat is a useful tool for communicating risk and benefit to clinicians, this format was the least likely to encourage patients to take medication. As graphical representation of benefit was the method patients preferred most, consideration should be given to developing visual aids to support shared clinical decision making.

Glycated haemoglobin and cardiovascular outcomes in people with Type 2 diabetes: a large prospective cohort study

Aims  To investigate the association between long‐term glycaemic control, measured by glycated haemoglobin (HbA1c), and time to first cardiovascular disease (CVD) event for people with Type 2 diabetes in New Zealand.

Evidence‐based medicine: the need for a new definition

Evidence is defined by its ability to establish or support conclusions. Evidence-based medicine (EBM) equates evidence with scientific evidence and views factors such as clinical expertise as important in moving from evidence to action. In contrast, we suggest that EBM should acknowledge multiple dimensions of evidence including scientific evidence, theoretic evidence, practical evidence, expert evidence, judicial evidence and ethics-based evidence. What EBM loses by not acknowledging these dimensions as evidence is the ability, among other things, to make and defend judgements based on understandings that complement science and are no less important than those science can offer. We argue for a new definition of EBM that, without forced accommodation or unacceptable compromise, acknowledges dimensions of evidence produced within and outside science.

Derivation and Validation of a New Cardiovascular Risk Score for People With Type 2 Diabetes: The New Zealand Diabetes Cohort Study

OBJECTIVE To derive a 5-year cardiovascular disease (CVD) risk equation from usual-care data that is appropriate for people with type 2 diabetes from a wide range of ethnic groups, variable glycemic control, and high rates of albuminuria in New Zealand. RESEARCH DESIGN AND METHODS This prospective open-cohort study used primary-care data from 36,127 people with type 2 diabetes without previous CVD to derive a CVD equation using Cox proportional hazards regression models. Data from 12,626 people from a geographically different area were used for validation. Outcome measure was time to first fatal or nonfatal cardiovascular event, derived from national hospitalization and mortality records. Risk factors were age at diagnosis, diabetes duration, sex, systolic blood pressure, smoking status, total cholesterol–to–HDL ratio, ethnicity, glycated hemoglobin (A1C), and urine albumin-to-creatinine ratio. RESULTS Baseline median age was 59 years, 51% were women, 55% were of non-European ethnicity, and 33% had micro- or macroalbuminuria. Median follow-up was 3.9 years (141,169 person-years), including 10,030 individuals followed for at least 5 years. At total of 6,479 first cardiovascular events occurred during follow-up. The 5-year observed risk was 20.8% (95% CI 20.3–21.3). Risk increased with each 1% A1C (adjusted hazard ratio 1.06 [95% CI 1.05–1.08]), when macroalbuminuria was present (2.04 [1.89–2.21]), and in Indo-Asians (1.29 [1.14–1.46]) and Maori (1.23 [1.14–1.32]) compared with Europeans. The derived risk equations performed well on the validation cohort compared with other risk equations. CONCLUSIONS Renal function, ethnicity, and glycemic control contribute significantly to cardiovascular risk prediction. Population-appropriate risk equations can be derived from routinely collected data.

Patient Error: A Preliminary Taxonomy

PURPOSE Current research on errors in health care focuses almost exclusively on system and clinician error. It tends to exclude how patients may create errors that influence their health. We aimed to identify the types of errors that patients can contribute and help manage, especially in primary care. METHODS Eleven nominal group interviews of patients and primary health care professionals were held in Auckland, New Zealand, during late 2007. Group members reported and helped to classify types of potential error by patients. We synthesized the ideas that emerged from the nominal groups into a taxonomy of patient error. RESULTS Our taxonomy is a 3-level system encompassing 70 potential types of patient error. The first level classifies 8 categories of error into 2 main groups: action errors and mental errors. The action errors, which result in part or whole from patient behavior, are attendance errors, assertion errors, and adherence errors. The mental errors, which are errors in patient thought processes, comprise memory errors, mindfulness errors, misjudgments, and—more distally—knowledge deficits and attitudes not conducive to health. CONCLUSION The taxonomy is an early attempt to understand and recognize how patients may err and what clinicians should aim to influence so they can help patients act safely. This approach begins to balance perspectives on error but requires further research. There is a need to move beyond seeing patient, clinician, and system errors as separate categories of error. An important next step may be research that attempts to understand how patients, clinicians, and systems interact to cocreate and reduce errors.

Are antibiotics effective for acute purulent rhinitis? Systematic review and meta-analysis of placebo controlled randomised trials

Abstract Objective To systematically review the evidence for the effectiveness of antibiotics in acute purulent rhinitis (many guidelines advise against their use on the basis of one study that showed no effect). Data sources Medline, Embase, Cochrane Register of Controlled Trials, and reference lists of retrieved articles. Review methods Meta-analysis of data from double blind randomised placebo controlled trials comparing antibiotics with placebo for acute purulent rhinitis (duration less than 10 days). Results Seven studies were retrieved; four contributed data on benefits of antibiotics, and four contributed data on harms of antibiotics. The pooled relative risk of benefit for persistent purulent rhinitis at five to eight days with antibiotics was 1.18 (95% confidence interval 1.05 to 1.33). The numbers needed to treat ranged from 7 to 15 when the pooled relative risk was applied to the range of control event rates. The relative risk for adverse effects with antibiotics was 1.46 (1.10 to 1.94). The numbers needed to harm for adverse effects ranged from 12 to 78. No serious harms were reported in the placebo arms. Conclusions Antibiotics are probably effective for acute purulent rhinitis. They can cause harm, usually in the form of gastrointestinal effects. Most patients will get better without antibiotics, supporting the current “no antibiotic as first line” advice.

Patients' engagement in primary care: powerlessness and compounding jeopardy. A qualitative study

Primary health care does not adequately respond to populations known to have high needs such as those with compounding jeopardy from chronic conditions, poverty, minority status and age; as such populations report powerlessness.

What can primary care prescribing data tell us about individual adherence to long-term medication?—comparison to pharmacy dispensing data†

To assess the predictive value of general practice electronic prescribing records with respect to adherence to long‐term medications as compared to claims‐based pharmacy dispensing data.

Patients and computers as reminders to screen for diabetes in family practice. Randomized-controlled trial.

AbstractBACKGROUND: In New Zealand, more than 5% of people aged 50 years and older have undiagnosed diabetes; most of them attend family practitioners (FPs) at least once a year. OBJECTIVES: To test the effectiveness of patients or computers as reminders to screen for diabetes in patients attending FPs. DESIGN: A randomized-controlled trial compared screening rates in 4 intervention arms: patient reminders, computer reminders, both reminders, and usual care. The trial lasted 2 months. The patient reminder was a diabetes risk self-assessment sheet filled in by patients and given to the FP during the consultation. The computer reminder was an icon that flashed only for patients considered eligible for screening. PARTICIPANTS: One hundred and seven FPs. MEASUREMENTS: The primary outcome was whether each eligible patient, who attended during the trial, was or was not tested for blood glucose. Analysis was by intention to treat and allowed for clustering by FP. RESULTS: Patient reminders (odds ratio [OR] 1.72, 95% confidence interval [CI] 1.21, 2.43), computer reminders (OR 2.55, 1.68, 3.88), and both reminders (OR 1.69, 1.11, 2.59) were all effective compared with usual care. Computer reminders were more effective than patient reminders (OR 1.49, 1.07, 2.07). Patients were more likely to be screened if they visited the FP repeatedly, if patients were non-European, if they were “regular” patients of the practice, and if their FP had a higher screening rate prior to the study. CONCLUSIONS: Patient and computer reminders were effective methods to increase screening for diabetes. However, the effects were not additive.

Telecare for diabetes, CHF or COPD: effect on quality of life, hospital use and costs. A randomised controlled trial and qualitative evaluation.

Objectives To assess the effect of telecare on health related quality of life, self-care, hospital use, costs and the experiences of patients, informal carers and health care professionals. Methods Patients were randomly assigned either to usual care or to additionally entering their data into a commercially-available electronic device that uploaded data once a day to a nurse-led monitoring station. Patients had congestive heart failure (Site A), chronic obstructive pulmonary disease (Site B), or any long-term condition, mostly diabetes (Site C). Site C contributed only intervention patients – they considered a usual care option to be unethical. The study took place in New Zealand between September 2010 and February 2012, and lasted 3 to 6 months for each patient. The primary outcome was health-related quality of life (SF36). Data on experiences were collected by individual and group interviews and by questionnaire. Results There were 171 patients (98 intervention, 73 control). Quality of life, self-efficacy and disease-specific measures did not change significantly, while anxiety and depression both decreased significantly with the intervention. Hospital admissions, days in hospital, emergency department visits, outpatient visits and costs did not differ significantly between the groups. Patients at all sites were universally positive. Many felt safer and more cared-for, and said that they and their family had learned more about managing their condition. Staff could all see potential benefits of telecare, and, after some initial technical problems, many staff felt that telecare enabled them to effectively monitor more patients. Conclusions Strongly positive patient and staff experiences and attitudes complement and contrast with small or non-significant quantitative changes. Telecare led to patients and families taking a more active role in self-management. It is likely that subgroups of patients benefitted in ways that were not measured or visible within the quantitative data, especially feelings of safety and being cared-for. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12610000269033