Financial barriers to primary health care in Aotearoa New Zealand.

BACKGROUND: In Aotearoa New Zealand, co-payments to see a general practitioner (GP, family doctor) or collect a prescription are payable by virtually all adults. OBJECTIVE: To examine the extent to which these user co-payments are a barrier to accessing health care, focussing on inequities for indigenous Maori. METHODS: Pooled data from sequential waves (years) of the New Zealand Health Survey, 2011/12 to 2018/19 were analysed. Outcomes were self-reported cost barriers to seeing a GP or collecting a prescription in the previous year. Logistic regression was used to estimate odds ratios (ORs) of barriers to care for Maori compared with non-Maori, sequentially adjusting for additional explanatory variables. RESULTS: Pooled data included 107,231 people, 22,292 (21%) were Maori. Across all years, 22% of Maori (13% non-Maori) experienced a cost barrier to seeing a GP, and 14% of Maori (5% non-Maori) reported a cost barrier to collecting a prescription. The age- and wave-adjusted OR comparing Maori/non-Maori was 1.71 (95% confidence interval [CI]: 1.61, 1.81) for the cost barrier to primary care and 2.97 (95% CI: 2.75, 3.20) for the cost barrier to collecting prescriptions. Sociodemographics accounted for about half the inequity for both outcomes; in a fully adjusted model, age, sex, low income, and poorer underlying health were determinants of both outcomes, and deprivation was additionally associated with the cost barrier to collecting a prescription but not to seeing a GP. CONCLUSIONS: Maori experience considerable inequity in access to primary health care; evidence supports an urgent need for change to system funding to eliminate financial barriers to care.

The enrolment gap: who is not enrolling with primary health organizations in Aotearoa New Zealand and what are the implications? An exploration of 2015-2019 administrative data.

BACKGROUND: Primary Health Care (PHC) is the entry point to accessing health services in many countries. Having a high proportion of the population enrolled with a PHC provider is key to ensuring PHC fulfils this role and that it contributes to achieving better equity in health. We aimed to understand the extent to which people in Aotearoa New Zealand are enrolling with Primary Health Organizations (PHOs), how enrolment rates have evolved over time, and variations across District Health Boards (DHBs) and socio-demographic groups. METHODS: We analysed administrative data on the proportion of people enrolled in PHOs and breakdowns across DHBs, and by age, ethnicity and deprivation, for the years 2015-2019. RESULTS: About 6% of the population was not enrolled in 2019. There are persistent differences across socio-demographic groups as well as geographically. Maori have lower enrolment rates than New Zealand European/Other groups. Young people (15-24 years) are the least likely to be enrolled. The most affluent areas have the highest enrolment rates. Auckland DHB shows the lowest enrolment rates. CONCLUSIONS: Enrolments remain below full population coverage and inequities exist between socio-demographic and geographic groups. Potential reasons explaining these trends include methodological limitations as well as real issues in accessing services. We recommend (a) work towards minimising data issues in relation to this indicator to improve its accuracy and value in signalling trends in access to PHC services, and (b) investigating the reasons for the potential widening of the inequities identified, in particular issues preventing Maori and younger people from enrolling. This study deepens our understanding of enrolment rates as an indicator for tracking equity in PHC. Other countries can learn from the Aotearoa New Zealand case to draw lessons for improving equity in health care.

How is enrolment with a general practice associated with subsequent use of the emergency department in Aotearoa New Zealand? A cohort study.

Introduction Around 5% of the people in Aotearoa New Zealand (NZ) are not enrolled with a general practice. Aim This study aimed to explore the utilisation of general practice by enrolment status and subsequent use of an emergency department. Methods We compared a cohort of respondents from New Zealand Health Surveys (2013/14-2018/19) on self-reported general practice utilisation and their substitutes, according to their enrolment status (enrolled and not enrolled). They were then followed up to examine their subsequent use of an emergency department. Time to an emergency department presentation was modelled with proportional hazards regression models with enrolment status as the explanatory variable. Confounding variables used were sex, age group, prioritised ethnicity, the New Zealand Deprivation Index and self-rated health. Results Those not enrolled were more likely to be young, male, Asian, more socioeconomically deprived and with better health status than those enrolled. Generally, those not enrolledutilised general practice services less. Those not enrolled who had used an emergency department were more likely to have used it as a substitute for general practice (40% vs 26%). Modelling showed that those not enrolled took longer to access an emergency department. Adjusting for confounding variables did not change that interpretation. Discussion Those not enrolled were younger and healthier and may have a perception that enrolment isn't necessary. As a group, they were more likely to be socioeconomically deprived and to use an emergency department, which is free at a public hospital in NZ, as a substitute for primary care which suggests that cost may influence their choices.

An area-based analysis of general practice fees in Aotearoa New Zealand.

Introduction The pursuit of health care equity is a fundamental objective for Aotearoa New Zealand, and patient co-payments in primary care challenge this goal. Aim This study aimed to investigate the relationship between primary health care co-payments and the sociodemographic variables in areas where general practices provide health care. Methods Using census data, facilities information from the Ministry of Health, and socioeconomic deprivation indices, linear regression models were used to explore the relationship between weighted average fees charged by general practices and various sociodemographic variables in statistical area 2 regions. Results The study finds that areas with higher proportions of males and economically deprived individuals are associated with lower weighted average fees. Conversely, areas with higher proportions of retirement-aged and European individuals are linked with higher weighted average fees. The inclusion of the Very-Low-Cost-Access variable, indicating a subsidy scheme at the general practice level, made all the sociodemographic variables practically insignificant, suggesting Very-Low-Cost-Access practices are in the right geographical location to target high needs groups. Discussion The findings affirm the complexity of health care inequities in Aotearoa New Zealand, influenced not only by financial factors but also by demographic variables as they play out geographically. While subsidy schemes like the Very-Low-Cost-Access scheme appear to reach groups with greater need, a high level of unmet need due to cost suggests that the fees are still too high. Policymakers need to consider disparities in the on-going health care reforms and make further changes to subsidy schemes to reduce unmet need.

"Closed books": restrictions to primary healthcare access in Aotearoa New Zealand-reporting results from a survey across general practices.

AIM: In Aotearoa New Zealand, primary care is organised by enrolling patients with a primary care provider. However, the benefits of this arrangement are frustrated when providers "close their books" due to insufficient capacity for new patients. We investigated the extent, evolution and impact of this situation on health access and equity in access to primary healthcare. METHOD: We distributed a survey for general practice personnel in 2022, yielding 227 valid responses. We examined responses across respondents' practice characteristics, including practice size, rural-urban setting, average co-payments, region and ethnic composition of the catchment population. RESULTS: Most general practices are selectively enrolling their patients. In 2022, only 28% of respondents freely enrolled new people. Since 2019, most respondents (79%) had "closed books" or limited enrolments at some point. The situation worsened between 2019 and 2022, compromising equal opportunity and access in healthcare. CONCLUSION: Restricted enrolment poses a widespread barrier to health access and equity, and it worsened since the beginning of the COVID-19 pandemic. Addressing closed books and limited enrolments in general practice could significantly improve health services' access and equity. The study aims to inform ongoing health reforms.

Consequences of cost barriers to prescriptions: cohort study in Aotearoa New Zealand.

AIMS: A NZ$5 co-payment prescription charge was removed in July 2023 but may be reinstated. Here we quantify the health impact and cost of not being able to afford this charge. METHODS: We linked New Zealand Health Surveys (2013/2014-2018/2019) to hospitalisation data using data available in Integrated Data Infrastructure (IDI). Cox proportional-hazards models compared time to hospitalisation between those who had faced a cost barrier to collecting a prescription and those who had not. RESULTS: Of the 81,626 total survey respondents, 72,243 were available for analysis in IDI. A further 516 were excluded to give an analysis dataset of 71,502. Of these, 5,889 (8.2%) reported not collecting a prescription due to cost in the previous year. Among people who faced a cost barrier, 60.0% (95% confidence interval [CI] 58.7-61.2%) were admitted to hospital during the study period, compared to 43.9% (95% CI 43.6-44.3%) of those who did not. Having adjusted for socio-demographic variables, people who faced a cost barrier were 34% (hazard ratio 1.34; 95% CI 1.29-1.39) more likely to be admitted to hospital than those who did not. Annual avoidable hospitalisation costs-were prescription co-payments to remain free-are estimated at $32.4 million per year based on the assumption of a causal relationship between unmet need for prescription medicines and subsequent hospitalisation. CONCLUSIONS: The revenue to the health system from co-payments may be offset by the costs associated with avoidable hospitalisations.

The enrolment gap and the COVID-19 pandemic: an exploration of routinely collected primary care enrolment data from 2016 to 2023 in Aotearoa New Zealand.

Introduction For many countries, primary health care (PHC) serves as the gateway for individuals to access healthcare services. It has been shown to not only improve health but also health equity. To maximise this benefit, a substantial proportion of the population needs to be connected with PHC. The aim here was to assess the degree and evolution of enrolment in light of the coronavirus disease 2019 (COVID-19) pandemic in Aotearoa New Zealand. Methods We examined data on the enrolment of people in PHC organisations between 2016 and 2023. This analysis included breakdowns by sex, age groups, ethnicity, and socioeconomic deprivation levels. Poisson regression models were used to explore whether enrolment changed because of the COVID-19 pandemic. Results In 2016, Maori, young people and the most deprived had lower enrolment rates relative to their peers. Although young people's enrolment rate increased over time, especially during the COVID-19 pandemic, the Maori enrolment rate declined, as did the rate for Pacific people, and those who were the most deprived. The groups who had increases in enrolment rates were those with the lowest levels of socioeconomic deprivation and those in the 'Other' ethnic category, predominantly made up of European New Zealanders. Conclusion Enrolment statistics reveal disparities across sociodemographic lines. The COVID-19 pandemic was associated with changed patterns of enrolment that appear to have consequences for population health.

An area-based description of closed books in general practices in Aotearoa New Zealand.

Introduction In Aotearoa New Zealand, patients can enrol in a general practice for their primary health care. When a general practice no longer enrols new patients this is known as 'closed books'. We examined which District Health Board (DHB) districts were most affected and what characteristics of general practices and DHB districts were associated with closed books. Methods Maps were used to display the distribution of closed books general practices. Linear regression and logistic regression were used to look at the association between DHB or general practice characteristics and closed books. Results There were 347 (33%) general practices that had closed books in June 2022. Canterbury DHB (n = 45) and Southern DHB (n = 32) had the greatest number of closed books general practices, while Wairarapa DHB (86%), Midcentral DHB (81%) and Taranaki DHB (81%) had the greatest percentage. Consultation fees (P Conclusion The problem of closed books is felt across the country but has a larger impact in the middle-lower North Island. This influences access to primary health care enrolment for patients in terms of travel distance, time, and cost. Consultation fees were strongly associated with closed books. This suggests there may be an income threshold above which general practices can afford to close their books if they reach capacity.

Cohort profile: Nga Kawekawe o Mate Korona | Impacts of COVID-19 in Aotearoa - a prospective, national cohort study of people with COVID-19 in New Zealand.

PURPOSE: The COVID-19 pandemic has had significant health, social and economic impacts around the world. We established a national, population-based longitudinal cohort to investigate the immediate and longer-term physical, psychological and economic impacts of COVID-19 on affected people in Aotearoa New Zealand (Aotearoa), with the resulting evidence to assist in designing appropriate health and well-being services for people with COVID-19. PARTICIPANTS: All people residing in Aotearoa aged 16 years or over, who had a confirmed or probable diagnosis of COVID-19 prior to December 2021, were invited to participate. Those living in dementia units were excluded. Participation involved taking part in one or more of four online surveys and/or in-depth interviews. The first wave of data collection took place from February to June 2022. FINDINGS TO DATE: By 30 November 2021, of 8735 people in Aotearoa aged 16+ who had COVID-19, 8712 were eligible for the study and 8012 had valid addresses so were able to be contacted to take part. A total of 990 people, including 161 Tangata Whenua (Maori, Indigenous peoples of Aotearoa) completed one or more surveys; in addition, 62 took part in in-depth interviews. Two hundred and seventeen people (20%) reported symptoms consistent with long COVID. Key areas of adverse impacts were experiences of stigma, mental distress, poor experiences of health services and barriers to healthcare, each being significantly more pronounced among disabled people and/or those with long COVID. FUTURE PLANS: Further data collection is planned to follow-up cohort participants. This cohort will be supplemented by the inclusion of a cohort of people with long COVID following Omicron infection. Future follow-ups will assess longitudinal changes to health and well-being impacts, including mental health, social, workplace/education and economic impacts of COVID-19.

Equity in access to zero-fees and low-cost Primary Health Care in Aotearoa New Zealand: Results from repeated waves of the New Zealand Health Survey, 1996-2016.

Primary Health Care in Aotearoa New Zealand is mainly funded through capitation-based funding to general practices, supplemented by a user co-payment. Funding is designed in part to keep the costs of care low for key groups in the population who have higher health needs. We investigated changes in the socio-demographic determinants of no-cost and low-cost access to Primary Health Care using data from sequential waves of the New Zealand Health Survey (1996/97-2016/17). Fees paid were self-reported and inflated using CPI-adjustment to the value of the 2018NZD. Over the 20-year study period, there was an increase in the population accessing low-cost care. Access to low-cost care was particularly high for Pacific people, but also higher for Maori and Asian people compared to Other/New Zealand European ethnicities. Area-level deprivation was a stronger predictor of access to low-cost care for non-Maori than for Maori. Although Maori were more likely than non-Maori to access low-cost care at all levels of deprivation, this was less evident in more deprived compared to more affluent areas. Given ongoing reported inequity for Maori being less able to afford primary health care, we suggest that future policies to improve access should be fully aligned with the articles of Te Tiriti o Waitangi and should focus on equity.

The actual and potential costs of meningitis surveillance in the African meningitis belt: Results from Chad and Niger.

BACKGROUND: The introduction of serogroup A meningococcal conjugate vaccine in the African meningitis belt required strengthened surveillance to assess long-term vaccine impact. The costs of implementing this strengthening had not been assessed. METHODOLOGY: The ingredients approach was used to retrospectively determine bacterial meningitis surveillance costs in Chad and Niger in 2012. Resource use and unit cost data were collected through interviews with staff at health facilities, laboratories, government offices and international partners, and by reviewing financial reports. Sample costs were extrapolated to national level and costs of upgrading to desired standards were estimated. RESULTS: Case-based surveillance had been implemented in all 12 surveyed hospitals and 29 of 33 surveyed clinics in Niger, compared to six out of 21 clinics surveyed in Chad. Lumbar punctures were performed in 100% of hospitals and clinics in Niger, compared to 52% of the clinics in Chad. The total costs of meningitis surveillance were US$ 1,951,562 in Niger and US$ 338,056 in Chad, with costs per capita of US$ 0.12 and US$ 0.03, respectively. Laboratory investigation was the largest cost component per surveillance functions, comprising 51% of the total costs in Niger and 40% in Chad. Personnel resources comprised the biggest expense type: 37% of total costs in Niger and 26% in Chad. The estimated annual, incremental costs of upgrading current systems to desired standards were US$ 183,299 in Niger and US$ 605,912 in Chad, which are 9% and 143% of present costs, respectively. CONCLUSIONS: Niger's more robust meningitis surveillance system costs four times more per capita than the system in Chad. Since Chad spends less per capita, fewer activities are performed, which weakens detection and analysis of cases. Countries in the meningitis belt are diverse, and can use these results to assess local costs for adapting surveillance systems to monitor vaccine impact.