Browsing by Author "Love T"

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    Hauora Māori - Māori health: a right to equal outcomes in primary care.
    (BioMed Central Ltd, 2024-02-27) Sheridan N; Jansen RM; Harwood M; Love T; Kenealy T; Primary Care Models Study Group
    Background For more than a century, Māori have experienced poorer health than non-Māori. In 2019 an independent Tribunal found the Government had breached Te Tiriti o Waitangi by “failing to design and administer the current primary health care system to actively address persistent Māori health inequities”. Many Māori (44%) have unmet needs for primary care. Seven models of primary care were identified by the funders and the research team, including Māori-owned practices. We hypothesised patient health outcomes for Māori would differ between models of care. Methods Cross-sectional primary care data were analysed at 30 September 2018. National datasets were linked to general practices at patient level, to measure associations between practice characteristics and patient health outcomes. Primary outcomes: polypharmacy (≥ 55 years), HbA1c testing, child immunisations, ambulatory sensitive hospitalisations (0–14, 45–64 years) and emergency department attendances. Regressions include only Māori patients, across all models of care. Results A total of 660,752 Māori patients were enrolled in 924 practices with 124,854 in 65 Māori-owned practices. Māori practices had: no significant association with HbA1c testing, ambulatory sensitive hospitalisations or ED attendances, and a significant association with lower polypharmacy (3.7% points) and lower childhood immunisations (13.4% points). Māori practices had higher rates of cervical smear and cardiovascular risk assessment, lower rates of HbA1c tests, and more nurse (46%) and doctor (8%) time (FTE) with patients. The average Māori practice had 52% Māori patients compared to 12% across all practices. Māori practices enrolled a higher percentage of children and young people, five times more patients in high deprivation areas, and patients with more multimorbidity. More Māori patients lived rurally (21.5% vs 15%), with a greater distance to the nearest ED. Māori patients were more likely to be dispensed antibiotics or tramadol. Conclusions Māori practices are an expression of autonomy in the face of enduring health system failure. Apart from lower immunisation rates, health outcomes were not different from other models of care, despite patients having higher health risk profiles. Across all models, primary care need was unmet for many Māori, despite increased clinical input. Funding must support under-resourced Māori practices and ensure accountability for the health outcomes of Māori patients in all models of general practice.
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    Is there equity of patient health outcomes across models of general practice in Aotearoa New Zealand? A national cross-sectional study.
    (BioMed Central Ltd, 2023-05-04) Sheridan N; Love T; Kenealy T; Primary Care Models Study Group
    BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: Model-level associations with poor patient outcomes suggest inequity in measures that might be used to target investment in primary care.
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    Nurses' work in relation to patient health outcomes: an observational study comparing models of primary care.
    (BioMed Central Ltd, 2024-10-04) Sheridan N; Hoare K; Carryer J; Mills J; Hewitt S; Love T; Kenealy T; Primary Care Models Study Group
    BACKGROUND: Māori are over-represented in Aotearoa New Zealand morbidity and mortality statistics. Other populations with high health needs include Pacific peoples and those living with material deprivation. General practice has evolved into seven models of primary care: Traditional, Corporate, Health Care Home, Māori, Pacific, Trusts / Non-governmental organisations (Trust/NGOs) and District Health Board / Primary Care Organisations (DHB/PHO). We describe nurse work in relation to these models of care, populations with high health need and patient health outcomes. METHODS: We conducted a cross-sectional study (at 30 September 2018) of data from national datasets and practices at patient level. Six primary outcome measures were selected because they could be improved by primary care: polypharmacy (≥ 65 years), glucose control testing in adults with diabetes, immunisations (at 6 months), ambulatory sensitive hospitalisations (0-14, 45-64 years) and emergency department attendances. Analysis adjusted for patient and practice characteristics. RESULTS: Nurse clinical time, and combined nurse, nurse practitioner and general practitioner clinical time, were substantially higher in Trust/NGO, Māori, and Pacific practices than in other models. Increased patient clinical complexity was associated with more clinical input and higher scores on all outcome measures. The highest rates of preventative care by nurses (cervical screening, cardiovascular risk assessment, depression screening, glucose control testing) were in Māori, Trust/NGO and Pacific practices. There was an eightfold difference, across models of care, in percentage of depression screening undertaken by nurses and a fivefold difference in cervical screening and glucose control testing. The highest rates of nurse consultations afterhours and with unenrolled patients, improving access, were in PHO/DHB, Pacific, Trust/NGO and Māori practices. Work not attributed to nurses in the practice records meant nurse work was underestimated to an unknown degree. CONCLUSIONS: Transferring work to nurses in Traditional, Health Care Home, and Corporate practices, would release general practitioner clinical time for other work. Worse patient health outcomes were associated with higher patient need and higher clinical input. It is plausible that there is insufficient clinical input to meet the degree of patient need. More practitioner clinical time is required, especially in practices with high volumes of complex patients.