Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making
Abstract Background The Census of Populations and Dwellings’ is the five yearly population count of Aotearoa New Zealand. Best available populations (BAP) are subnational projections based on census data and demographic assumptions developed for healthcare planning and funding allocation but are als...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2024-02-01
|
| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12889-024-17984-2 |
| _version_ | 1797272888583127040 |
|---|---|
| author | Gerard J.B Sonder Corina Grey Debbie Ryan Jacqueline Cumming Andrew Sporle Philip C. Hill |
| author_facet | Gerard J.B Sonder Corina Grey Debbie Ryan Jacqueline Cumming Andrew Sporle Philip C. Hill |
| author_sort | Gerard J.B Sonder |
| collection | DOAJ |
| description | Abstract Background The Census of Populations and Dwellings’ is the five yearly population count of Aotearoa New Zealand. Best available populations (BAP) are subnational projections based on census data and demographic assumptions developed for healthcare planning and funding allocation but are also used as the denominator for health indicator monitoring. Pacific people are systematically undercounted, but the impact on health statistics is not well studied. For COVID-19 vaccination coverage, health service user (HSU) data were considered a more reliable denominator than BAP but introduced new biases. We aimed to understand how the choice of denominator population impacts estimates of population size and health system performance for Pacific people at a local level. Methods We described how declining census response rates affected population data quality. We compared BAP and HSU data at district level. For the indicators ‘access to primary care’ and ‘cervical cancer screening uptake’ we replaced currently used BAP denominators with HSU and examined the impact for different ethnic groups in different geographic districts. Results Overall Census 2018 response declined by 10%, but for Māori and Pacific people by 21% and 23%, respectively. This inequitably affected BAP accuracy. Census undercount was highest in the district with the largest Pacific populations, where HSU exceeded BAP most. Notably, ‘access to primary care’ for Pacific people in this district consistently exceeds 100%. Using BAP, both health indicators are currently estimated as highest for Pacific people compared to other ethnic groups, but when based on HSU, they dropped to lowest. Similar, but less pronounced trends occurred in other districts. Changes in trends over time for both indicators coincided mostly with adjustments in BAP, rather than changes in the numerators. Conclusions The current use of BAP denominators for health statistics does not enable reliable monitoring of key health indicators for Pacific people. HSU denominators are also unsuitable for monitoring health. Exploring the feasibility of a real-time population register is strongly recommended as a new, transparent, way of obtaining more reliable, timely population data to guide policymaking and underpin a more equitable health system under the health reforms. Meanwhile, reporting of ethnic specific outcomes need to include a clear assessment of the potential for bias due to inaccurate population estimates. |
| first_indexed | 2024-03-07T14:35:46Z |
| format | Article |
| id | doaj.art-49c86898263d464ea5b88a2c7ddf15e3 |
| institution | Directory Open Access Journal |
| issn | 1471-2458 |
| language | English |
| last_indexed | 2024-03-07T14:35:46Z |
| publishDate | 2024-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Public Health |
| spelling | doaj.art-49c86898263d464ea5b88a2c7ddf15e32024-03-05T20:38:54ZengBMCBMC Public Health1471-24582024-02-0124111410.1186/s12889-024-17984-2Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy makingGerard J.B Sonder0Corina Grey1Debbie Ryan2Jacqueline Cumming3Andrew Sporle4Philip C. Hill5Pacific Perspectives LtdPacific Perspectives LtdPacific Perspectives LtdPacific Perspectives LtdiNZight Analytics LtdCentre for International Health, Division of Health Sciences, University of OtagoAbstract Background The Census of Populations and Dwellings’ is the five yearly population count of Aotearoa New Zealand. Best available populations (BAP) are subnational projections based on census data and demographic assumptions developed for healthcare planning and funding allocation but are also used as the denominator for health indicator monitoring. Pacific people are systematically undercounted, but the impact on health statistics is not well studied. For COVID-19 vaccination coverage, health service user (HSU) data were considered a more reliable denominator than BAP but introduced new biases. We aimed to understand how the choice of denominator population impacts estimates of population size and health system performance for Pacific people at a local level. Methods We described how declining census response rates affected population data quality. We compared BAP and HSU data at district level. For the indicators ‘access to primary care’ and ‘cervical cancer screening uptake’ we replaced currently used BAP denominators with HSU and examined the impact for different ethnic groups in different geographic districts. Results Overall Census 2018 response declined by 10%, but for Māori and Pacific people by 21% and 23%, respectively. This inequitably affected BAP accuracy. Census undercount was highest in the district with the largest Pacific populations, where HSU exceeded BAP most. Notably, ‘access to primary care’ for Pacific people in this district consistently exceeds 100%. Using BAP, both health indicators are currently estimated as highest for Pacific people compared to other ethnic groups, but when based on HSU, they dropped to lowest. Similar, but less pronounced trends occurred in other districts. Changes in trends over time for both indicators coincided mostly with adjustments in BAP, rather than changes in the numerators. Conclusions The current use of BAP denominators for health statistics does not enable reliable monitoring of key health indicators for Pacific people. HSU denominators are also unsuitable for monitoring health. Exploring the feasibility of a real-time population register is strongly recommended as a new, transparent, way of obtaining more reliable, timely population data to guide policymaking and underpin a more equitable health system under the health reforms. Meanwhile, reporting of ethnic specific outcomes need to include a clear assessment of the potential for bias due to inaccurate population estimates.https://doi.org/10.1186/s12889-024-17984-2PacificPopulationStatisticsInstitutionalRacismHealth |
| spellingShingle | Gerard J.B Sonder Corina Grey Debbie Ryan Jacqueline Cumming Andrew Sporle Philip C. Hill Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making BMC Public Health Pacific Population Statistics Institutional Racism Health |
| title | Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making |
| title_full | Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making |
| title_fullStr | Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making |
| title_full_unstemmed | Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making |
| title_short | Selective under-representation of Pacific peoples in population estimates for health indicator measurements in Aotearoa New Zealand misinforms policy making |
| title_sort | selective under representation of pacific peoples in population estimates for health indicator measurements in aotearoa new zealand misinforms policy making |
| topic | Pacific Population Statistics Institutional Racism Health |
| url | https://doi.org/10.1186/s12889-024-17984-2 |
| work_keys_str_mv | AT gerardjbsonder selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking AT corinagrey selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking AT debbieryan selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking AT jacquelinecumming selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking AT andrewsporle selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking AT philipchill selectiveunderrepresentationofpacificpeoplesinpopulationestimatesforhealthindicatormeasurementsinaotearoanewzealandmisinformspolicymaking |