New Zealand adults who think their GP is good or very good at explaining conditions and treatments
By DHB and sex, 2014–2017 average, % of adults who saw a GP in past 3 months
Unadjusted results: reflect the actual percentage (or mean) for the specified population in each time period. It is important to note that differences in the population structure may explain some of the variations between DHBs.
Age-standardised rates: take into account different age structures in the underlying populations of each DHB.
All results presented in this data are weighted so that they are representative of the total population of adults 15+ and children aged 0–14 years (or a smaller subset where specified).
The dataset includes unadjusted prevalence figures for most indicators, estimated number of people, and 95% confidence intervals.
Indicators are provided by age group, sex, ethnic group (total response ethnicity, ie where people who belong to more than one ethnic group are counted once in each of the ethnic groups they identify with) and neighbourhood deprivation (area-based measure of socioeconomic position or deprivation, NZDep2013).
Sample sizes for most regions are not sufficient to produce reliable estimates for single years. However, reliable regional level statistics can be produced by pooling annual data to improve the range and statistical quality of analyses that can be undertaken at that level. Pooling annual NZHS data sets can also improve the statistical precision of estimates for Māori and ethnic minorities (including Pacific and Asian ethnic groups).
In the current study, estimates were produced by pooling the most recent NZHS datasets of 2016/17, 2015/16 and 2014/15. For the purpose of comparing the results over time, another pooled dataset was created by pooling the previous annual datasets of 2011/12, 2012/13 and 2013/14.
Limitations of the data
The data provider uses 95% confidence intervals to indicate the uncertainty in an estimate due to collecting data from only a sample of the population.
Even with pooling three years of data, the sample size for some of the smaller DHBs remains relatively small.
The survey results are likely to underestimate or overestimate some indicators due to the nature of self-reported information. For example, many of the survey results assume that the respondents could accurately recall previous events (such as a diagnosis by a doctor). Also, many indicators are about diagnosed conditions, and not everyone with a particular condition will have had it diagnosed by a doctor. The amount of error will vary from indicator to indicator, depending on a number of factors, including the respondent’s age. Respondents may also over-report good behaviours or under-report risk behaviours based on what they consider to be socially desirable.
Some indicators (body size and raised blood pressure) are based on actual measurements taken by the surveyors rather than self-reported information. These results are more reliable than self-reported information because the surveyors apply consistent measurement techniques to all respondents using standardised measuring tools.
This survey presents a snapshot of the health of New Zealand adults and children at one point in time. The survey can be used to look at associations between different factors, such as health status and neighbourhood deprivation. However, we cannot conclude that the survey results show cause-and-effect relationships between these factors, in part because we do not know which factor occurred first. For example, if the survey finds that a particular condition is more common in people living in deprived areas, an association has been identified. This association does not necessarily mean the condition is caused by living in deprived areas.
Not included in the survey were: people living in institutions (such as for long-term hospital care, hospital- and dementia-level care in aged-care facilities, and in prisons), the homeless, short-term visitors and tourists.
Data provided by
New Zealand Health Survey: District Health Board prevalence and mean data 2017
How to find the data
At URL provided, select the 'Download datasets' tab, and download the 'District Health Board prevalence and mean data' CSV file.
Import & extraction details
From the dataset New Zealand Health Survey: District Health Board prevalence and mean data 2017, this data was extracted:
- Rows: 2-281,252
- Columns: 10-13
- Provided: 178,131 data points
This data forms the table Health - All indicators of adults health by DHB (prevalence) 2011–2017.
Dataset originally released on:
May 10, 2018
About this dataset
This data presents the 2014–17 regional results from the New Zealand Health Survey, for both adults and children.
Method of collection/Data provider
The New Zealand Health Survey (NZHS) conducts face-to-face interviews with over 13,000 adults and the parents/ caregivers of over 4000 children annually. The 2014-2017 pooled data contains 40,900 adult respondents and 14,100 children, and refers to the period between July 2014 and June 2017. The survey results refer to the usually resident population of all ages living in permanent dwellings, aged-care facilities and student accommodation