Do people feel involved in decisions about their care?
To understand the quality of services that the NHS delivers, it is important to understand what people think about their care and treatment. The inpatient and outpatient surveys ask users whether they were involved as much as they wanted to be in decisions about their care and treatment.
These indicators draw on data from the Adult Inpatient Survey and the Outpatient Survey (which was discontinued in 2011).
The results from 2005-14 were taken from analysis undertaken in November 2015 on the trends over the period. To enable fairer comparisons between years, data was standardised to account for demographic differences in respondents. All data points were adjusted to the age, gender and admission route profile of respondents in 2014. 2015 results are standardised to the demographic profile of 2015 in terms of age/sex/route of admission. This is acceptable when comparing year-on-year results because of the relatively limited annual change in the demographic profile of the overall set of respondents. However, over longer periods, the small annual changes accumulate and need to be taken into account, and further standardisation needs to be applied (see more).
The results (percentages) from each provider are given equal weight in calculating the England results. Some providers have a higher response rate than others and would therefore have a greater influence over the England average.
To correct this, the Care Quality Commission (CQC) applies a ‘weight’ to the data. As a result of applying this weight, the responses from each provider have an equal influence over the England average, regardless of differences in response rates between providers.
Results (percentages) are presented from CQC's national reports and have been rounded up or down to whole numbers. If two response categories are added together (such as ‘very good’ and ’good’), the resulting figure will be slightly different to the figures reported elsewhere, because these used results to at least two decimal places. Likewise, columns may not add up to exactly 100% due to the rounding.