This article introduces improvements to the measure of public service productivity for adult social care, which are proposed to be implemented in the next edition of the annual publication: Public service productivity estimates: total public service, UK. The article will explain changes made to inputs and output measures, introduce a new quality adjustment for output and analyse the results of the new measure. In addition to a new productivity measure produced on the existing UK calendar year basis, this report also includes new measures produced on an England-only financial year basis, with separate measures for different service types.Nôl i'r tabl cynnwys
Improvements to inputs include improvements to the data source for NHS funding and improvements to the deflators.
Improvements to output include a new output index for 2014 onwards and the incorporation of output coverage for services where activity data are not available, such as direct payments.
A new quality adjustment is added, applying the concept of adjusted social care-related quality of life and data from the Adult Social Care Survey.
The new UK adult social care productivity measure fell by an average of 0.7% per year between 1997 and 2016.
Within this, the quality adjustment adds 0.8% per year on average to adult social care productivity growth since its introduction in 2010.
New measures for England show smaller falls in the productivity of services for adults aged over 65 years than for services for adults aged under 65 years between financial year ending 1997 and financial year ending 2011; while the productivity of services for both client groups is relatively stable between financial year ending 2011 and financial year ending 2017.
Public service productivity is estimated by comparing growth in the total quantity of output provided with growth in the total quantity of inputs used. If the growth rate of output exceeds the growth rate of inputs, productivity increases, meaning that more output is being produced for each unit of input. Conversely, if the growth rate of inputs exceeds the growth rate of output, then public service productivity will fall, indicating that less output is being produced for each unit of input.
Inputs are composed of labour, goods and services, and consumption of fixed capital, and are measured on a volume basis using deflated expenditure. Quantity output is measured as the number of individual activities performed, where activity data are available. Where activity data are not available, output is measured using the equivalent deflated expenditure data as inputs. A quality adjustment is introduced in this publication and applied to output to account for changes in service quality.
Whilst these productivity estimates provide a measure of the amount of output that is produced for each unit of input, they do not measure value for money, whether inputs have been obtained for the lowest possible cost, or the wider performance of public services.
This publication focuses on adult social care (ASC). ASC services provide care and support to older people, adults with learning or physical disabilities, adults with mental health problems, drug and alcohol misusers, and carers. Provision of ASC is the responsibility of local authorities in Great Britain.
ASC services include:
placements in residential and nursing care
provision of home care services
day care services
supported living and accommodation
“meals on wheels”
equipment and home adaptations
care assessments and support services
This article does not analyse or introduce changes to the measurement of productivity for children’s social care services, although these are also included in the public service productivity statistics.
While much of the data used in the measure are shared with the national accounts, methodological changes mean that both output and inputs in this publication are inconsistent with the national accounts, although the new activity data source and relevant methods changes will be incorporated into the national accounts in future.
We intend to incorporate the changes to the ASC productivity measure in the next edition of the annual Public service productivity estimates series, due to be published in January 2019. As part of the incorporation of the new ASC productivity estimates into the total public service productivity measure, further changes may be made and so these estimates should be regarded as experimental. We welcome feedback from users, which can be sent to firstname.lastname@example.org.
An accompanying article alongside this release establishes the procedure for incorporating these changes into total public service productivity.Nôl i'r tabl cynnwys
As a result of the introduction by NHS Digital of a new data collection for adult social care (ASC) activity in England, a new output index for England is required for financial year ending 2015 onwards. As the range of services covered by the new data collection is smaller than in the old collection, changes have been made to ASC output to include services for which activity data are not available, on an “output-equals-inputs” basis. This “output-equals-inputs” element has been implemented throughout the series back to 1997.
In addition, the existing output measure is not explicitly adjusted for quality. The Atkinson Review: Final report (PDF, 1.1MB), which determined the framework for public service productivity measurement, advised that where possible, changes in the quality of public service delivery should be considered to take account of changes in the value of services that are not captured through measuring changes in the quantity of output. Among other changes, this article introduces a quality adjustment, which is described in Section 8.
Developments in health and social care policy designed to generate better co-ordination between the NHS and local authority-provided ASC services, such as the introduction of the Better Care Fund in financial year ending 2016, have resulted in funding from the NHS making up an increasing proportion of ASC spending over time. To ensure the ASC productivity measure reflects these changes, improvements have been made to the measurement of NHS funding in both inputs and output1.
Finally, modifications have been made to the processing to enable the production of a financial year productivity measure for England. Processing now takes place on a financial year basis, with data converted to a calendar year basis at the end of the process, using the latest national accounts standards2, to produce the UK calendar year measure.
Notes for: Why methods changes are necessary
We intend to adjust the weights for adult social care and healthcare services, which are used to combine services in the measure of total public service productivity. An accompanying article released today (1 June 2018) provides more information on how methods changes will be incorporated in future total public service productivity articles.
To convert financial year data into calendar year, a technique known as cubic splining splits annual financial year volume or spending data into quarterly data, which are then re-aggregated to create calendar year figures. In this publication, the method used has been updated from X-11 ARIMA to X-13 ARIMA in line with latest national accounts practices. X-13 ARIMA has improved methods for forecasting and backcasting data as well as interpolating a trend within a data series.
Adult social care (ASC) inputs are estimated by deflating expenditure using appropriate deflators to convert current expenditure into a quantity input measure, alternatively known as a volume input measure. Changes in inputs can therefore result from both changes to expenditure and changes to the deflator used.
Local authority expenditure on adult social care
Public service adult social care is primarily funded by local authorities (LAs) in Great Britain. The LA current expenditure data used in the ASC productivity measure are part of the measure of social protection expenditure used in the national accounts. These national accounts data in turn are produced using the Local authority revenue expenditure and financing data return for England and equivalent data sources for Scotland1 and Wales. LA capital consumption2 is also measured using data from the national accounts and is estimated using the perpetual inventory method.
Data for LA current expenditure and capital consumption were used in the previously published public service ASC productivity estimates, and continue to be used in the latest estimates, with modifications to the current expenditure data explained in the following section.
It should be noted that, to analyse the productivity of specific services within ASC for England only, a different, more detailed data source is used for the new England financial-year ASC productivity measure and more details on this can be found in Section 10.
Due to a lack of inputs and output data, measures for Northern Ireland are not included in the ASC productivity estimates.
Changes to local authority expenditure – removal of housing services
Following changes made to the national accounts for Blue Book 2017, ASC expenditure also included local government expenditure on some housing services and on social protection not elsewhere classified from financial year ending 2012 (FYE 2012), resulting in more expenditure being included in the ASC inputs for the years 2012 onwards.
In the new ASC input measure, these changes are reversed, so that expenditure on housing and on social protection not elsewhere classified are excluded.
Change of source for NHS funding
In addition to funding from LAs, ASC services are also partly funded through NHS payments to LAs to support social care. A number of government policies have increased the scale of NHS payments to fund LA social care over time, including the Better Care Fund, which was introduced in FYE 2016 and aims to increase collaboration between NHS and LA bodies to support clients with long-term conditions.
Because the NHS is classified as central government in the national accounts, NHS expenditure is not included in the local government expenditure used to calculate the ASC inputs index, and so needs to be accounted for separately.
In the previously published ASC input measure, funding transfers from health services to LAs were incorporated in inputs by using data on central government expenditure on adult personal social services3 from the national accounts. However, as part of the review of the ASC productivity measure, these data have been replaced by data reported by LAs on income received from the NHS, as part of NHS Digital’s Adult Social Care Finance Return4, which provides a more detailed breakdown of NHS funding specifically for ASC5.
The NHS Digital Adult Social Care Finance Return analyses expenditure by source of funding, client type and service, more detail than is available for central government data in the national accounts. Use of this detailed data therefore enables a more holistic measure of adult social care expenditure, including NHS funding, to be used in the cost weights for output, more details of which can be found in Section 7.
However, it should also be noted that the Adult Social Care Finance Return only records data from LAs in England and so the change from national accounts data results in central government expenditure in the devolved administrations no longer being captured. In addition, the data series used are only available back to FYE 2005 and so there is a break in series between FYE 2004 and FYE 2005. This break in series is matched by changes in the output data described in Section 7.
The use of chain-linking growth rates to produce input and output indices means that although the expenditure coverage of the measure increases between FYE 2004 and FYE 2005, there is no step-change or “jump” in the input or output indices between these years.
Current price expenditure used in inputs
Figure 3 shows the expenditure used in ASC inputs in the previously published and new measures. The expenditure data are shown in current price terms, before deflation is used to convert the series into a quantity input series.
As a result of the national accounts data for central government transfers to ASC being removed and the NHS Digital data on NHS funding for ASC not being available for the years before FYE 2005, the new expenditure data used in inputs is slightly less than in the previously published measure until 2004. For most of the period from 2004 onwards, the new measure of expenditure included in inputs is greater, though missing from the new measure is the increase in expenditure in 2012 – resulting from the inclusion of some housing services and social protection not elsewhere classified in the national accounts data used in the previously published series.
In addition to changes in expenditure, differences in inputs can also be attributed to the deflators used to remove the effect of inflation in input costs, to produce a quantity input measure.
ASC inputs are split into four main components, with separate deflators applied to each. Three of these components: the labour costs, LA intermediate consumption, and capital consumption, all relate to services provided directly by LAs and the fourth component is the expenditure on services commissioned by LAs from other providers. This fourth component primarily refers to services commissioned by LAs from independent sector providers, although the data used to determine the split between LAs’ own provision and other provision also include services commissioned by LAs from other LAs within the data for care provided by others. However, because independent sector provision makes up the great majority of care provided outside of LA own provision, and for ease of reading, the term independent sector provision is used in this publication to refer to care commissioned by LAs from providers other than themselves.
LA labour and capital consumption continue to be deflated by the same deflators that were used in the previously published ASC productivity measure.
The series used to deflate labour costs was developed by the Department of Health and Social Care. This measure uses workforce data from the Skills for Care National Minimum Data Set for Social Care to estimate the proportion of LA social care workers in different occupation groups, and uses data from the Annual Survey of Hours and Earnings to estimate changes in pay. Changes in the pay levels of different categories of ASC employees are weighted by the proportion of the total staff pay bill they account for, to calculate a deflator for the cost of labour.
Capital consumption is deflated by an implied deflator, which is not specific to ASC. While this is not ideal, it is the most suitable of the options currently available. However, as capital consumption represents a very small component of total ASC spending, the effect of using different capital deflators on the overall measure would be minor.
It should, however, be noted that the current measure of consumption of fixed capital for government services is due to be replaced with improved estimates for Blue Book 2019 and we intend to incorporate the new measure when available in a future public service productivity publication.
Changes to deflators
Changes have been made to the deflators used to produce the goods and services component of inputs, including both the intermediate consumption component of LAs’ own provision of ASC and LA purchases of care from the independent sector. Table 1 illustrates the changes made.
Table 1: Deflators used in previously published and new inputs series
|Inputs component||Deflator previous series||Deflator for new series|
|Local authority own provision||Labour||PSS Pay deflator||PSS Pay deflator|
|Intermediate consumption||CPI||SAR-based intermediate consumption deflator|
|Capital consumption||Implied capital consumption deflator||Implied capital consumption deflator|
|Care provided by others||Direct payments||ISSCPI deflator||Direct payments deflator|
|Other services||ISSCPI deflator||Independent sector labour/intermediate consumption deflator|
|Source: Office for National Statistics|
|1. PSS refers to personal social services, CPI refers to the Consumer Price Index, SAR refers to the Subjective Analysis Return and ISSCPI refers to the independent sector social care price index.|
Download this table Table 1: Deflators used in previously published and new inputs series.xls (28.7 kB)
Intermediate consumption deflators for LA own-provided care
The intermediate consumption of LAs’ own provision of ASC has previously been deflated by the general Consumer Prices Index (CPI). However, this is not an ideal measure as the overall CPI measures the average price change of a household consumer’s basket of goods.
To better reflect the specific inflationary experience of social care services, new deflators have been matched to a more granular breakdown of expenditure. We have therefore constructed a basket of goods specific to LA social care using data from the Subjective Analysis Return (SAR), a data collection which records LA expenditure on different types of input for social care. These data are an extension of the subjective analysis in the Local Authority General Fund Revenue Account Outturn and are also used in Office for National Statistics (ONS) public service productivity statistics to produce input deflators for education and police services.
Different intermediate consumption items recorded in the SAR are deflated by suitable subcomponent indices of the CPI, Services Producer Price Index (SPPI), Producer Price Index (PPI) and Average Weekly Earnings (AWE, which is used in the case of agency staff). A composite deflator is then created by weighting each of these series together by the proportion of local authorities’ social care intermediate consumption expenditure they account for in the SAR6. The resulting “SAR deflator” is therefore more suitable than the overall CPI for producing the intermediate consumption input series.
Deflators for independent sector-provided care
LA purchases of care from the independent sector were previously deflated by an Independent Sector Social Care Prices Index (ISSCPI) provided by the Department of Health and Social Care. This deflator was built on the same ASC activity and spending data as used in the output measure. As a result, this method produced an implied deflator for the cost of independent sector-provided care to LAs.
However, as this deflator is a measure of the price inflation of independent sector-provided output, it is essentially an output deflator as opposed to an input deflator. Application of this deflator to expenditure on purchases of care from independent sector providers will therefore result in quantity input growth of a similar7 rate as quantity output growth. For example, if the data show an increase in weeks of care purchased from 1,000 to 1,100, both the output quantity and the input quantity of this component of the service would increase by 10% and productivity would not change. Therefore, the application of the ISSCPI deflator hinders measurement of the productivity of independent sector-provided care.
This is an issue as, since the start of our data series in 1997, the proportion of LA-funded ASC services provided by the independent sector has increased substantially and now accounts for the majority of ASC provision.
The coverage of ONS public service productivity measures is defined as services funded through public expenditure8 and is therefore not only limited to public sector providers, but also includes publicly-funded services provided by the independent sector. For the measure to be consistent with the Atkinson Review definition of public service and to remain relevant for users, productivity therefore needs to be measured for publicly-funded care purchased from the independent sector, in addition to public sector producers.
As a result, a method of deflation that is conceptually similar to that used for LA own-provision services, but using deflators specific to independent sector providers, has been applied to independent sector-provided services.
As with LA own-provided services, independent sector-provided ASC services will use labour and intermediate consumption inputs9. The ratio of expenditure made up of labour to intermediate consumption inputs is derived from FYE 2017 figures in LaingBuisson’s Care Cost Benchmarks report (PDF, 74.9KB) and FYE 2017 figures from the UK Home Care Association’s Minimum Price for Homecare estimates (PDF, 640.6KB), and this ratio is used to determine the proportion of independent sector inputs deflated by pay and intermediate consumption deflators.
The pay element accounts for approximately 68% of inputs and is deflated by a version of the Personal Social Services (PSS) pay index described earlier that is specific to the independent sector.
LaingBuisson’s Care Cost Benchmarks series and the UK Home Care Association’s Minimum Price for Homecare series also include analysis of the typical expenditure of independent sector providers on different goods and services inputs used in the provision of a week of residential and nursing care (in the case of Care Cost Benchmarks) or an hour of home care (in the case of Minimum Price for Homecare).
Using the same approach as the deflator for intermediate consumption for LA-provided services, a basket of goods has been created from these two publications and each element deflated by an appropriate CPI, SPPI or PPI deflator to create a deflator for independent sector intermediate consumption. The relative weights given to the Care Cost Benchmarks and Minimum Price for Homecare data in the deflator are determined by the relative expenditure on residential and nursing care and home care reported in the data from NHS Digital.
Expenditure on direct payments is deflated separately and the deflated direct payments data are used in both inputs and output. More detail on the deflator used for direct payments can be found in Section 7.
Figure 4 shows how different deflator series have changed over time.
Input deflators reflect the cost pressures faced by service providers. Higher deflator growth results in lower input growth, as higher costs mean any given level of expenditure purchases fewer inputs.
Over the course of the series, inflation faced by social care providers has been greater than the general price inflation faced by households, as measured by the CPI, although for certain periods this difference has been reversed. In particular, the specific deflators for ASC intermediate consumption have experienced inflation lower than CPI for most of the period since FYE 2011.
Figure 4 shows only small differences between the specific ASC intermediate consumption deflators, with the home care deflator experiencing slightly more volatility, due partly to the relatively high weight of travel costs in the home care deflator.
Labour deflators, which affect the overall input measure more than intermediate consumption due to the greater spending share of labour, have also experienced greater growth than the overall CPI over the whole series, partly reflecting higher real-terms wages in the social care sector in FYE 2017 than in FYE 1997.
Over the series the labour deflators have also grown faster than the intermediate consumption deflators and as with the intermediate consumption deflators, there are minimal differences between LA and independent sector input inflation.
However, the labour deflators grew more slowly than the intermediate consumption deflators between FYE 2007 and FYE 2014, a period characterised by lower wage growth in the general economy. Inflation in labour costs exceeded inflation in intermediate consumption costs again after FYE 2014 and the labour deflators grew particularly quickly in FYE 2017, partly due to the introduction of the National Living Wage. As many social care jobs are paid at or near the National Living Wage, its introduction has resulted in a significant cost pressure for social care providers10.
Over the whole 20-year series, the switch from CPI to the SAR-based deflator results in lower growth in inputs for LA intermediate consumption in the new measure relative to the previously published measure, while the switch from the ISSCPI to the combined independent sector input deflator results in higher growth for independent sector inputs in the new measure.
A separate deflator is applied to direct payments and more information on this can be found in Section 7.
Effect of changes on inputs
Figure 5 shows a comparison of the inputs measure included in the previously published ASC productivity series and the measure used in the new series.
The introduction of NHS funding in the expenditure measure has had an upward effect on inputs growth for the years after it was included in FYE 2005, as NHS funding has grown more quickly than other LA spending. In addition, for most years of the series, changes in the deflator series used have also resulted in faster inputs growth.
However, the new series does not experience the same inputs growth as the previously published series in 2012, due to the removal of housing and social protection not elsewhere classified expenditure, which had previously been included in the adult social care series from 2012 onwards.
Figure 6 shows the contribution to overall ASC inputs growth from each of the three components that inputs can be divided into.
Figure 6 shows almost all growth over the period has been driven by goods and services, due primarily to increases in the procurement of care from independent sector providers, which are entirely recorded in the goods and services component of inputs.
Notes for: Measuring inputs
Inputs for Scotland use budgeted as opposed to outturn expenditure data for financial year ending 2017 as outturn expenditure data are not yet available.
Also known as consumption of fixed capital, capital consumption covers the cost of depreciation of capital goods (items that are anticipated to be in use over several years and add to the stock of resources in the ASC system, such as buildings) over time.
The coverage of adult personal social services matches the coverage of adult social care, but the different terminology is used within the Classification of the Functions of Government system in the national accounts.
Data from the Personal Social Services Expenditure and Unit Costs Return, which preceded the Adult Social Care Finance Return were used for the years before FYE 2015.
Included in expenditure on both the input and output side are the NHS Digital lines for NHS income, income from joint arrangements and other income. This approach mirrors the approach taken by NHS Digital as part of their ASC unit costs analysis. It should be noted that the other income line also includes transfers between LAs to fund clients who are provided a care placement in another LA to their own. The NHS Digital data collection is set up such that each LA should record expenditure and activity data only for clients whose care they are responsible for, meaning expenditure and activity on each client receiving care from a different LA to the one responsible for funding them should only be recorded once. However, in some cases, LAs are unable to separate their own expenditure from expenditure by other LAs, resulting in some probable double counting, although the scale of this double counting is not known. More discussion of NHS transfers to LAs can be found in NHS Digital’s Adult Social Care Activity and Finance Report, England 2016-17.
The basket of goods derived from the SAR used to produce the LA intermediate consumption is modified from the original SAR basket to remove procurement of care from the independent sector, as the intermediate consumption of independent sector providers is deflated separately.
Due to small differences in the calculation of output via a cost-weighted activity index and via the application of an output deflator, the rate of volume growth for inputs and output will not be identical where multiple different types of activity are being combined into an index.
Public service productivity statistics are based on a concept of output as measured by government consumption expenditure rather than government production. This means that we are using a measure of government-purchased output, regardless of what type of business unit produced the output. As with other aspects of the methodology employed in producing these statistics, this approach is consistent with that recommended by the Atkinson Review (PDF, 1.08MB). The adult social care productivity measure therefore includes output produced by business units that are classified as private businesses or non-profit institutions serving households (NPISH) in the UK National Accounts, and this is why the term “public service” is used instead of “public sector”.
Capital consumption has not been deflated separately for independent sector-provision. This is because no separately identified estimates for independent sector ASC capital consumption are available on a consistent basis to the capital consumption estimates in the national accounts. In addition, the deflators for capital consumption that are available in the national accounts are not specific to individual public service sectors. However, given the small element of capital in LA own-provision ASC, exclusion of specific deflators for independent sector capital consumption should not make a major difference to the measure.
Further information on the cost pressures on social care providers from the National Living Wage is available in the ADASS Budget Survey (PDF, 1.2MB).
There are a number of developments to the measure for adult social care (ASC) output in England including:
introduction of a new cost-weighted activity index for the new data source for England from financial year ending 2015 (FYE 2015) onwards
improvements to the cost-weighting of activity for the years before FYE 2015, including the incorporation of NHS spending and merging the cost weights for local authority (LA) and independent sector provided residential care
modification of activity data to better align with inputs and NHS Digital’s unit costs analysis
incorporation of “output-equals-inputs” elements of output, for services where data on the number of activities carried out is not available, including direct payments
use of “output-equals-inputs” estimation for the output growth rate between FYE 2014 and FYE 2015
Measuring output: cost-weighted activity
Where data on the number of activities undertaken in a public service are available, quantity output (also known as volume output) is measured using a cost-weighted activity index. This index is produced by calculating the growth rates of different ASC activities and weighting these by their unit costs. As a result, growth in activities that are high-volume and expensive has a greater effect on the output index than a similar rate of growth in activities that are uncommon and low-cost.
For England, data for this measure are taken from NHS Digital, which collects the data from English LAs, and for Scotland data are provided by the Scottish Government. Activity data for Wales and Northern Ireland are not available and so output in these nations is assumed to grow at the same rate as the rest of the UK. The methodology for ASC output for Scotland has not changed in this publication, although output for Scotland is forecast for FYE 2017 as these data are not yet available.
Because the measures in this analysis are for public service output and productivity, activity data are scaled down to net off the proportion of service funding that comes from client contributions, and to ensure that the output measure aligns with the inputs by only including publicly-funded ASC activity.
Output measured through a cost-weighted activity index is also known as directly-measured output, in contrast to output measured through the “output-equals-inputs” approach, which is known as indirectly-measured output.
Changes to output data source
Following a Zero Based Review, NHS Digital (formerly the Health and Social Care Information Centre) implemented changes to the data they collect from LAs in England on ASC.
While aggregated expenditure remained consistent, breakdowns by client and service types are not comparable between the pre-review and post-review collections. As cost-weighted activity could no longer be measured on a comparable basis from financial year ending 2014 (FYE 2014) onwards, ASC output was forecasted for the period following the implementation of the Zero Based Review in the last two editions of Public service productivity estimates: total public service.
The range of services for which activity data are collected in the post-review NHS Digital data collection is substantially reduced relative to the pre-review collection, although it still includes residential and nursing care, which are among the largest services in terms of expenditure. Table 2 details the services for which activity data are available from the two collections, ordered by the proportion of expenditure they account for in the latest year used.
Table 2: Services in England for which output is measured using activity data, financial year ending 2013 and financial year ending 2016
|NHS Digital pre-review data collection (until FYE 2014)||Proportion of expenditure (FYE 2013)||NHS Digital post-review data collection (from FYE 2015 onwards)||Proportion of expenditure (FYE 2016)|
|Residential care||29.7||Residential care||25.0|
|Home care||17.0||Nursing care||7.4|
|Referrals and assessments||12.7||Short-term care to maximise independence||3.3|
|Equipment and adaptations||2.0|
|Output for other services measured indirectly using “output-equals-inputs” approach||23.8||Output for other services measured indirectly using “output-equals-inputs” approach||64.3|
|Source: Office for National Statistics|
|1. As the output index is produced using a Laspeyres approach, previous-year cost weights are used to weight together the activity growth of different components. Figures are therefore given for financial year ending (FYE) 2013 and FYE 2016, as these are the final cost-weights used from the pre-review data and the most recent cost-weights used in the post-review data.|
Download this table Table 2: Services in England for which output is measured using activity data, financial year ending 2013 and financial year ending 2016.xls (29.7 kB)
Residential and nursing care activity are further split by client type in both pre- and post-review data collections1, and referrals and assessments, and day care were split by client type in the pre-review data. The data collection used to calculate ASC output in Scotland is unaffected by these changes. Activity data for Scotland cover residential and nursing care, home care and day care, all split by client type, and the number of meals provided.
Incorporation of NHS-funded activity
In the previously published output series, the activity data used excluded clients in LA-arranged residential and nursing care who were fully funded by the NHS2. As the new measure incorporates NHS expenditure in the inputs, the residential and nursing care activity data have also been changed to include clients in LA-arranged care fully funded by the NHS in the output.
Changes to cost-weights
Cost weights are used to determine the relative size of effect different types of activity have on output. More expensive forms of output are assumed to have a greater value and so an increase of one unit of activity has a greater effect on output where that activity has a higher cost-weight.
The previously published ASC output measure used LA net current expenditure by service and client type to derive unit costs for each different unit of activity.
To be consistent with the inputs and the activity data, the new measure incorporates NHS funding into the cost weights using the same NHS Digital data used in the inputs.
Further changes have been made to the cost weights to include capital charges, which reflect capital consumption, a relevant part of the total cost of providing services, and to exclude grants given to voluntary organisations, as the activity these grants fund is not covered in the activity data we use.
These changes also affect the calculation used to net down activity data for client contributions.
Using merged cost weights for LA-provided and independent sector-provided residential care
In both the previously published output series and the new output series, cost weighting is carried out using unit costs assigned for different services types and different client types. For instance, separate cost weights will be allocated to a week of nursing care for older people and to a week of nursing care for adults aged under 65 years with a physical disability, reflecting the differing cost of providing care to these different client groups.
In the previously published series, separate cost weights were also allocated in the England data to weeks in residential care for different client types depending on whether they were provided by LAs or independent sector providers3. NHS Digital’s unit cost analysis demonstrates the differences between the two provider types, with unit costs for residential care for older people over 50% higher in LA-provided care and unit costs for care for younger adults with learning disabilities around 25% to 50% higher.
In the previously published output series, these unit cost differences were reflected in the cost weights assigned to LA-provided and independent sector-provided residential care. The higher cost weights for LA-provided care meant changes in the number of weeks provided by LAs had a greater effect on the output index than changes in the number of weeks provided in the independent sector.
Since the mid-2000s, the number of weeks in residential care provided by LAs has fallen at a considerably faster rate than the number of weeks provided by the independent sector. As a result of the higher cost weights for LA-provided care in the previously published series, the effect of residential care on reducing ASC output was more than proportional to the fall in the total number of weeks provided over the period.
Differences in unit costs between LA and independent sector provision may be due to a range of factors, with some of the possible reasons relating to input costs and efficiency. LaingBuisson’s Care of older people: UK market report (PDF, 538.7KB) suggests the difference between LA-provided and independent sector-provided care may be due partly to higher costs from more generous employment terms and conditions in the LA sector. In addition, LaingBuisson report that LAs can secure lower prices for residential care from independent sector providers than private clients can, by procuring multiple care home places from providers4. This may also lower the unit costs of residential care purchased by LAs from independent sector providers relative to LA-provided care.
Differences may also be due to the nature of the service provided. LaingBuisson also suggest differences may be due to LA providers focusing on more short-term forms of care such as respite and intermediate care, or due to differences in the quality of care provided. However, for the years following NHS Digital’s Zero Based Review in FYE 2015, any effect of higher unit costs for shorter-term care in LA provision should be reduced as short-term care activity is recorded separately to other residential care, while the new quality adjustment (explained in Section 8) should capture changes in the quality of care over time.
Following these developments, a method change has been implemented so that the new ASC output index uses the same weight for each week in residential care provided by LAs and independent sector providers. Different cost weights continue to be used for different client types, reflecting the variation in the intensity of care needed by different client groups.
Figure 7 shows that implementation of this methods change results in greater output growth across the period, although the effect of the change in any given year is relatively small.
Incorporation of “output-equals-inputs” services
Previously, ASC output has been measured only for services where activity data are available, a form of output known as directly-measured output. However, as a result of the new data collection, the range of services for which activity data are available is substantially reduced.
To mitigate against this loss of output data, ASC services for which activity data are not available are included in the output measure on an “output-equals-inputs” basis, also known as indirectly-measured output. This means that output is estimated to grow at the same rate as input for services without activity data. As a result, productivity growth for these services is assumed to be zero.
This treatment ensures the productivity measure is not affected by differences between output and input growth caused by a mismatch between the coverage of services included in inputs and the coverage of services included in output. However, inclusion of services through the “output-equals-inputs” method has a dampening effect on productivity, reducing the scale of productivity changes. To view the productivity trend without this dampening effect, Section 11 includes an alternative series measuring changes in productivity for services with directly-measured output only, on an England financial year basis.
Due to data limitations, the “output-equals-inputs” method is only applied to data from England.
Direct payments involve LAs providing funding to care clients to enable them to arrange and pay for the care themselves, in place of the LA commissioning the care for them.
As with other indirectly-measured services, output and input for direct payments are measured by deflating expenditure with the most appropriate deflators available.
To produce a deflator for direct payments, we conducted a small survey of LAs with the assistance of the London Association of Directors of Adult Social Services (ADASS) Improvement Programme, receiving responses from six councils. The results of the survey suggested that approximately 46% of direct payments spending was on home care, 35% on other care services (including day and respite care) and 19% was on other goods and services (including transport). Using these figures as weights, a composite deflator was constructed from the Consumer Prices Index (CPI) subcomponents of home care and social protection, with general CPI used to deflate other goods and services.
As direct payments are included on an “output-equals-inputs” basis, direct payments expenditure is also deflated by the same deflator in the inputs as in the output, resulting in zero productivity growth.
Although direct payments have been included in the ASC output and input measures in this publication to reflect changes in the nature of ASC provision, direct payments are not currently classified within public sector output in the national accounts, as they are classified as a transfer payment from government to households. When the new ASC output series are incorporated in the national accounts output, the current treatment of direct payments will be subject to further review.
Estimation of output growth between FYE 2014 and FYE 2015
As a result of the change in the NHS Digital data collection between FYE 2014 and FYE 2015, it is not possible to measure changes activity on a consistent basis between FYE 2014 and FYE 2015. As a result, no direct measures of output using activity data are used to calculate the growth rate between these two years. Instead, total ASC output was estimated on an “output-equals-inputs” basis for England using total ASC expenditure and a composite deflator constructed from all deflators used for ASC inputs.
The impact of the bridging year is illustrated in Figure 8, which shows that the implementation of the “output-equals-inputs” approach for England resulted in a slightly greater fall in output in 2014 than the previous year, but the output fall in 2014 is reduced relative to the predominantly forecast estimate in the previously published series.
Effect of changes on output
Figure 9 shows the new non-quality adjusted output measure in comparison with the previously published output series.
Figure 9 shows that the new series experiences stronger growth than the previously published series, particularly after 2002, when the “output-equals-inputs” component grows following the introduction of spending from the Supporting People scheme into adult social care, and the expansion of direct payments and other “output-equals-inputs” services, such as supported accommodation.
Notes for: Measuring quantity output
More data on adult social care activity can be found in NHS Digital’s Adult Social Care Activity and Finance Report.
Clients fully funded by the NHS cover those funded under Section 256 of the NHS Act 2006. As with the choice of NHS funding data included in the inputs, the change to include these clients mirrors the approach taken by NHS Digital in their unit costs analysis.
As with inputs, the data used to determine the split between LA provision and other provision include services commissioned by LAs from other LAs within the data for care provided by others. However, because independent sector provision makes up the great majority of care provided outside of an LA’s own provision, and for ease of reading, the term independent sector provision is used to refer to care commissioned by LAs from providers other than themselves.
More information on local authority procurement of residential care is available from the House of Commons Library – Social care: care home market briefing paper (PDF, 186KB).
This publication also introduces a new quality adjustment for adult social care (ASC) output.
Quality adjustments to public service output were a recommendation of the Atkinson Review on the measurement of government output and productivity for the national accounts (PDF, 1.1MB), which stated: “The output of the government sector should in principle be measured in a way that is adjusted for quality, taking account of the attributable incremental contribution of the service to the outcome.”
Quality adjustments are applied to output to counter the limitations of using cost weights to value different types of activity in quantity output measures. For instance, while quantity output may be growing, the value of this growth, and therefore productivity, may be overstated if service quality is declining.
The ASC quality adjustment introduced here uses the concept of adjusted social care-related quality of life, which is established within the Adult Social Care Outcomes Framework (ASCOF), and data from the Adult Social Care Survey in England.
As no equivalent data source measuring care-related quality of life is available for the devolved administrations, the quality adjustment for ASC is applied to UK output, under the equivalent convention to current quality adjustments in other public service productivity sectors1.
The following section introduces the methodology for this adjustment and analyses its effect.
Data source and framework for quality adjustment
The Adult Social Care Survey (ASCS) is a sample survey of clients in local authority (LA)-supported care2 in England conducted from financial year ending 2011 (FYE 2011) onwards. The survey’s sample coverage includes clients whose care is partly- or wholly-funded by a LA, including those in receipt of direct payments, or clients in LA-organised care who are fully self-funding.
In FYE 2017, the survey interviewed around 73,000 clients out of a total eligible population of around 656,000 clients, with data from 58,000 respondents sufficiently detailed to be used in our quality adjustment.
Data collected by the ASCS include clients’ age, gender, type of care and funding, self-reported health status, activities that clients need support with, and the degree to which their needs are met.
Results from the ASCS are used to produce a range of service performance measures, which are published in the Adult Social Care Outcomes Framework (ASCOF)3.
The objective of quality adjustment is to adjust output for the value of the service being provided. Therefore, an ideal quality adjustment reflects the degree to which a service improves outcomes for service users. For adult social care services, a critical outcome is the improvement of clients’ quality of life, relative to how it would be in the absence of care services.
Two of the measures within the ASCOF specifically measure clients’ quality of life. “Measure 1A”, defined as social care-related quality of life, is calculated from clients’ responses to how well their needs are met (on a scale from “no needs met” to “no unmet needs”) across eight domains:
food and nutrition
“Measure 1J”, defined as adjusted social care-related quality of life, builds on the concept of “measure 1A” to derive a measure that isolates the impact of ASC services’ performance on quality of life.
This involves two main changes relative to “measure 1A”. Firstly, each level of response on care needs across each of the eight domains is weighted to account for its importance in affecting quality of life, using weights developed from a separate survey of community care users4. Secondly, factors predominantly outside the influence of ASC services, but which affect the likelihood of needs being met, are controlled for. These factors include clients’ age, health status, suitability of clients’ home for meeting their needs and clients’ ease of travelling around outside in their local environment.
The quality adjustment used for output and productivity is produced using the concept of ASCOF “measure 1J”, although separate methods are implemented for community care services and residential and nursing care services.
Quality adjustment for community care
While NHS Digital have published the “measure 1J” only for FYE 2017, data from the ASC Survey itself are available from FYE 2011 onwards. In addition, the “measure 1J” is not published for different client types and does not include clients with learning disabilities.
To produce the quality adjustment for community care, we implemented the calculation of “measure 1J” on the ASC Survey. The figures produced for the quality adjustment will differ slightly from the published ASCOF figures but this approach has several advantages for use in a quality adjustment. Firstly, it enables the production of a time series from the start of the ASC Survey in FYE 2011.
Secondly, it enables the quality adjustment to be extended to learning disability clients, who make up a substantial proportion of service output weighted by spending. While the study used to derive the weights for the eight domains of care-related quality of life included a small subsample of learning disability clients, the results of this study have not been applied to the published “measure 1J” pending further work. However, learning disability clients continue to be covered by the ASC Survey and a separate “easy-read” questionnaire is provided for respondents with learning disabilities. To ensure the quality adjustment includes all client types, adjusted social care-related quality of life is estimated for learning disability clients using the same preference weights for the eight domains of quality of life as are used for other clients.
Thirdly, calculation of “measure 1J” from the ASC Survey enables the production of separate quality adjustments for different client types, with separate adjustments produced for older adults, younger adults with learning disabilities, who are identified through use of the “easy-read” questionnaire5, and younger adults with other needs. This improves the overall quality adjustment as the quality adjustments for each client type are specifically applied to the associated output for each client type. The separate quality adjustments also improve the precision of the productivity measures for the analysis by service type and client type in Section 11.
The quality adjustments for each individual in the ASC Survey dataset are weighted to account for variation in survey completion rates by local authority. The quality adjustment for community care is then calculated as the change in adjusted social care-related quality of life from one year to the next.
Quality adjustment for residential and nursing care
Because the weights for the domains of quality of life in “measure 1J” are produced using a survey of community care users and the adjustment applied to account for items outside the control of ASC services is specific to community care, a separate approach is taken to quality adjust residential and nursing care output.
The residential and nursing care quality adjustment draws on work conducted by Yang, Forder and Nizalova (2017) at the Personal Social Services Research Unit for analysing residential and nursing care quality by region.
This quality adjustment uses a regression-based approach to measure the strength of association with care-related quality of life of a range of factors that are outside ASC providers’ control, and so need to be controlled for to derive the change in quality of life attributable to the performance of ASC services. The factors used in the regression model are:
self-reported health status, level of pain and level of anxiety
the number of basic activities of daily living (ADLs) the client needs support with
whether the client can deal with their finances and paperwork
The quality adjustment is calculated as the change in average social care-related quality of life minus the change in expected average social care-related quality of life based on the regression model. This ensures that, for instance, if care-related quality of life is shown as increasing, the change used in the quality adjustment only incorporates the change in care-related quality of life attributable to ASC services.
For most of the years for which the quality adjustment was calculated, the quality adjustment grew more slowly than care-related quality of life, as a result in improvements in expected quality of life, due mainly to a fall in the proportion of clients reporting bad health and a rise in the proportion of clients reporting good health.
As with the community care adjustment, the adjustment for residential and nursing care is carried out separately for older adults, younger adults with learning disabilities (as identified by the “easy-read” questionnaire) and younger adults with other needs.
Results of quality adjustment
Table 3 shows changes observed in each of the six elements of the quality adjustment. This suggests that quality improvements were generally greater for community care than residential care over the series, but caution should be taken in interpreting this difference, due to differences in the methodology used.
No quality adjustment was measured for growth between FYE 2014 and FYE 2015, as a change in client eligibility for the ASC Survey resulted in a break in series between these two years6.
Table 3: Percentage change in components of adult social care quality adjustment, financial year ending 2011 to financial year ending 2017
|Residential and nursing care – older adults||1.2||0.2||-1.3||0.0||-0.5||1.0|
|Residential and nursing care – younger adults with learning disabilities||0.1||-0.2||0.0||0.0||2.1||-0.4|
|Residential and nursing care – younger adults with other needs||-0.3||0.3||0.8||0.0||2.1||-1.3|
|Community based care – older adults||2.4||1.4||1.4||0.0||0.5||1.2|
|Community based care – younger adults with learning disabilities||6.4||-0.7||1.7||0.0||0.1||-0.2|
|Community based care – younger adults with other needs||2.7||0.1||2.1||0.0||0.7||3.4|
|Source: Office for National Statistics|
|1. Growth rates for each year are given as the growth between the stated year and previous year. For example, the growth figure for FYE 2017 is the growth measured between FYE 2016 and FYE 2017.|
Download this table Table 3: Percentage change in components of adult social care quality adjustment, financial year ending 2011 to financial year ending 2017.xls (28.7 kB)
Figure 10 shows the effect of the quality adjustment on output. Because the quality adjustment is produced from financial year data, a process known as “cubic splining” is used to convert the data to a calendar year basis for application to the output measure. The cubic splining process also backcasts the quality adjustment by one quarter to obtain a growth rate between calendar years 2010 and 2011.
Figure 10 shows that the quality adjustment increased output most in 2011, the first year it was applied. Overall, the quality adjustment increases output by 5.1% relative to its non-quality adjusted level in 2016.
As ASCOF “measure 1J” was only published in FYE 2017, “measure 1A” is the most relevant published ASCOF series for measuring quality change over time. As with the quality adjustment, “measure 1A” showed improvements between FYE 2011 and FYE 2014, though there was no further improvement in “measure 1A” at the one decimal point level after the change in sample from FYE 2015, when lower quality growth was also observed for the output quality adjustment.
Section 9 analyses the effect of the quality adjustment on productivity.
Notes for: Quality adjustment
It should be noted that we intend to review the current approach to the geographical application of quality adjustment across all quality adjusted sectors and future changes could result in quality adjustments only being applied to output from the same constituent nations as the quality adjustment data is obtained from.
LA-supported care refers to care that is partly or wholly funded by LAs or care provided by LAs.
Further information on how measures within ASCOF are constructed can be found in the ASCOF Handbook of Definitions (PDF, 1.4MB).
For more information on how “measure 1J” is produced and the study used to derive the weights for the eight domains, see Identifying the impact of adult social care (IIASC).
It should be noted that not all clients with learning disabilities will have completed the “easy-read” questionnaire and not all clients aged under 65 years who complete the “easy-read” questionnaire will necessarily have learning disabilities. However, in the large majority of cases, use of the “easy-read” questionnaire should separate the learning disability and non-learning disability clients in the younger age group.
The main changes to sample coverage of the ASC Survey made for the FYE 2015 data onwards were to remove clients receiving low-level support only and include clients paying the full cost of care themselves. More detail on these changes can be found in the NHS Digital publication, Adult Social Care Survey, England – 2014-15.
The author would like to thank Panos Zerdevas, Jason Snowden and Jacob Maxwell from the Department of Health and Social Care for advice and comments; Julian Forder and Olena Nizalova from the Personal Social Services Research Unit at the University of Kent for advice and quality assurance of the quality adjustment; Anita Charlesworth from the Health Foundation and Garry Young from the National Institute of Economic and Social Research for comments on the publication; the LondonADASS Improvement Programme and Omar Idriss for provision of data on direct payments; and William Laing of LaingBuisson for advice and the provision of data for the deflators.Nôl i'r tabl cynnwys
Association of Directors of Adult Social Services, ADASS Budget Survey 2017 (PDF, 1.2MB)
Care Providers Alliance (2017), Working with care providers to understand costs: A guide for adult social care commissioners (PDF, 640.6KB)
House of Commons Library (2018), Social care: care home market – structure, issues, and cross-subsidisation (England) (PDF, 186KB)
LaingBuisson (2017), Care Cost Benchmarks (eighth edition (PDF, 75KB)
LaingBuisson (2016), Care of Older People (27th edition (PDF, 538.7KB)
Ministry of Housing, Communities and Local Government, Local Authority Revenue Expenditure and Financing
NHS Digital (2017), Adult Social Care Activity and Finance Report, England 2016-17
NHS Digital (2017), Personal Social Services Adult Social Care Survey, England 2016-17
NHS Digital (2017), Measures from the Adult Social Care Outcomes Framework, England – 2016-17
Office for National Statistics (2018), Public service productivity estimates: total public service, UK: 2015
Yang W, Forder J, Nizalova, O (2017), ‘Measuring the productivity of residential long-term care in England: methods for quality adjustment and regional comparison’, Eur J Health Econ, Volume 18, Issue 5, pages 635 to 647Nôl i'r tabl cynnwys
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