Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Dovey SM

PROVIDER: S-EPMC5296619 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Publications

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

Dovey Susan M SM Leitch Sharon S Wallis Katharine A KA Eggleton Kyle S KS Cunningham Wayne K WK Williamson Martyn I MI Lillis Steven S McMenamin Andrew W AW Tilyard Murray W MW Reith David M DM Samaranayaka Ari A Hall Jason E JE

JMIR research protocols 20170124 1

<h4>Background</h4>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.<h4>Objective</h4>We aim to study the incidence, distribution, severity, and preventability of the ha ...[more]

PMID: 28119276

Similar Datasets

Project description:ObjectiveLittle is known about differences in hospital harm (injury, suffering, disability, disease or death arising from hospital care) when people from rural and urban locations require hospital care. This study aimed to assess whether hospital harm risk differed by patients' rural or urban location using general practice data.DesignSecondary analysis of a 3-year retrospective cross-sectional general practice records review study, designed with equal numbers of rural and urban patients and patients from small, medium and large practices. Hospital admissions, interhospital transfer and hospital harm were identified.SettingNew Zealand (NZ) general practice clinical records including hospital discharge data.ParticipantsRandomly selected patient records from randomly selected general practices across NZ. Patient enrolment at rural and urban general practices defined patient location.OutcomesAdmission and harm risk and rate ratios by rural-urban location were investigated using multivariable analyses adjusted for age, sex, ethnicity, deprivation, practice size. Preventable hospital harm, harm severity and harm associated with interhospital transfer were analysed.ResultsOf 9076 patient records, 1561 patients (17%) experienced hospital admissions with no significant association between patient location and hospital admission (rural vs urban adjusted risk ratio (aRR) 0.98 (95% CI 0.83 to 1.17)). Of patients admitted to hospital, 172 (11%) experienced hospital harm. Rural location was not associated with increased hospital harm risk (aRR 1.01 (95% CI 0.97 to 1.05)) or rate of hospital harm per admission (adjusted incidence rate ratio 1.09 (95% CI 0.83 to 1.43)). Nearly half (45%) of hospital harms became apparent only after discharge. No urban patients required interhospital transfer, but 3% of rural patients did. Interhospital transfer was associated with over twice the risk of hospital harm (age-adjusted aRR 2.33 (95% CI 1.37 to 3.98), p=0.003).ConclusionsRural patient location was not associated with increased hospital harm. This provides reassurance for rural communities and health planners. The exception was patients needing interhospital transfer, where risk was more than doubled, warranting further research.

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Project description:Primary care in Aotearoa New Zealand is largely delivered by general practices, heavily subsidised by government. Te Tiriti o Waitangi (1840) guarantees equal health outcomes for Māori and non-Māori, but differences are stark and longstanding. Seven models of primary care have evolved. We hypothesised that patient health outcomes would differ between models of care; and that Māori, Pacific peoples and those living in material deprivation would have poorer outcomes from primary care. We conducted a cross-sectional study of patient-level data from national datasets and practices, at 30 September 2018, using multilevel mixed effects regression analyses (patients clustered within practices). Primary outcomes, considered to be measures of unmet need for primary care, were polypharmacy (≥ 65 years), HbA1c testing in adults with diabetes, childhood immunisations (6 months), ambulatory sensitive hospitalisations (0-14, 45-64 years) and emergency department attendances. Explanatory variables adjusted for patient and practice characteristics. Equity, by model of care, ethnicity and deprivation, was assumed if they showed no significant association with patient outcomes. Patient characteristics included: age, ethnicity, deprivation, multi-morbidity, first specialist assessments and practice continuity. Practice characteristics included: size, funding and doctor continuity. Clinical input (consultations and time with nurses and doctors) was considered a measure of practice response. The study included 924 general practices with 4,491,964 enrolled patients. Traditional practices enrolled 73% of the population, but, on average, the proportion of Māori, Pacific and people living with material deprivation was low in any one Traditional practice. Patients with high health needs disproportionately enrolled in Māori, Pacific and Trust/NGO practices. There were multiple associations between models of care and patient health outcomes in fully adjusted regressions. No one model of care out-performed others across all outcomes. Patients with higher health need received more clinical input but this was insufficient to achieve equity in all outcomes. Being a Māori or Pacific patient, or living in material deprivation, across models of care, remained associated with poorer outcomes. Model-level associations with poor patient outcomes suggest inequity in measures that might be used to target investment in primary care.

Project description:BackgroundMedicines are central to healthcare in aging populations with chronic multi-morbidity. Their safe and effective use relies on a large and constantly increasing knowledge base. Despite the current era of unprecedented access to information, there is evidence that unmet information needs remain an issue in clinical practice. Unmet medicines information needs may contribute to sub-optimal use of medicines and patient harm. Little is known about medicines information needs in the primary care setting. The aim of this study was to investigate the nature of medicines information needs in routine general practice and understand the challenges and influences on the information-seeking behaviour of general practitioners.MethodsA mixed methods study involving 18 New Zealand general practitioner participants was undertaken. Quantitative data were collected to characterize the medicines information needs arising during 642 consultations conducted by the participants. Qualitative data regarding participant views on their medicines information needs, resources used, challenges to meeting the needs and potential solutions were collected by semi-structured interview. Integration occurred by comparison of results from each method.ResultsOf 642 consultations, 11% (n = 73/642) featured at least one medicines information need. The needs spanned 14 different categories with dosing the most frequent (26%) followed by side effects (15%) and drug interactions (14%). Two main themes describing the nature of general practitioners' medicines information needs were identified from the qualitative data: a 'common core' related to medicine dose, side effects and interactions and a 'perplexing periphery'. Challenges in the perplexing periphery were the variation in information needs, complexity, 'known unknowns' and 'unknown unknowns'. Key factors affecting general practitioners' strategies for meeting medicines information needs were trust in a resource, presence of the patient, how the information was presented, scarcity of time, awareness of the existence of a resource, and its accessibility.ConclusionsGeneral practitioners face challenges in meeting wide-ranging medicines information needs in patients with increasingly complex care needs. Recognising the challenges and factors that influence resource use in practice can inform optimisation of medicines information support resources. Resources for general practitioners must take into account the complexity and time constraints of real-world practice. An individually responsive approach involving greater collaboration with pharmacists and specialist medicines information support services may provide a potential solution.

Dataset Information

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

Background

Objective

Methods

Results

Conclusions

Publications

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

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