PAC Report: DWP must tackle benefit fraud and error fairly, as numbers of claimants and incorrect payments skyrocket
Even before COVID-19, benefit fraud and error overpayments were at
their highest ever rates, with around £1 in every £10 of Universal
Credit paid incorrectly. The estimated overpayment rate, excluding
State Pension, now stands at 4.8% (£4.5 billion) out of a total
benefit expenditure of £93.1 billion for 2019-20; this is the
Department’s highest ever estimated overpayment rate and continues
the record run of mis-payment that has seen the Department for Work
and Pensions’ (DWP’s)...Request free
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Even before COVID-19, benefit fraud and error overpayments were at
their highest ever rates, with around £1 in every £10 of Universal
Credit paid incorrectly. The estimated overpayment rate, excluding
State Pension, now stands at 4.8% (£4.5 billion) out of a total
benefit expenditure of £93.1 billion for 2019-20; this is the
Department’s highest ever estimated overpayment rate and continues
the record run of mis-payment that has seen the Department for Work
and Pensions’ (DWP’s) accounts qualified every year since 1988-89.
Claimants affected by DWP errors are often the least able in our society to repay debts, including those incurred in the benefit system, or to absorb significant changes in their income. The Department does not currently have a target rate of fraud and error to work toward fixing this, though it has now publicly committed to setting one. DWP responded rapidly to the impact of the COVID-19 pandemic. As measures to address the virus affected people’s incomes, many turned to benefits for the first time. The number of people on Universal Credit rose from 2.9 million in February to 5.6 million in August, with a peak of over 100,000 new claims a day at the end of March. The Committee recognises the hard work and commitment of the Department’s staff in ensuring that 89% of new claims from 1 March 2020 to 26 May 2020 were paid on time and in full. To manage this though, the Department made changes to benefit delivery, including turning off some controls that are ordinarily in place to mitigate the risk of fraud and error. The large increase in caseload combined with this easing of controls mean that losses to the taxpayer through benefit fraud and error are expected to increase significantly in 2020-21. The Department will also need to be prepared for probable further increases in unemployment. The Department’s recent efforts to improve controls have focused on investing in data analytics, which it hopes will allow it to prevent fraud and error before it enters the system. The impact of these technologies is still unproven: the Department’s Risk and Intelligence Service (RIS) was launched in April 2018, using ‘increasingly sophisticated data and analytical tools’ to tackle fraud and error – but the estimated rate of overpayments continues to rise, and the Committee warns of the potential for discrimination or bias caused by using artificial intelligence and machine learning on different claimant groups. Meg Hillier MP, Chair of the Public Accounts Committee, said: “DWP staff are to be highly commended for the incredible job they have done getting benefits to millions of new claimants in a crisis, many of whom never expected to have to rely on the welfare safety net. “But the DWP’s system of fixing its errors can penalise the least secure with yet more debt and even lower incomes. A benefits system that can act to further reduce the stability of recipients is unlikely to be able to offer value for money. “DWP has now finally committed to a target for reducing its levels of error, and levels of fraud – it must ensure that the means it uses to get there do not further marginalise and discriminate against those who have little or no financial resilience to deal with the income changes these mistakes lead to.” PAC report conclusions and recommendations
Recommendation: The Department should ensure that it learns from its experience and successes of spring 2020 to be ready for future challenges.
Recommendations: The Department needs to show sustained progress in reducing fraud and error. It should set annual targets, by risk and benefit, against which its progress can be assessed, based on its expectation of the intended impact of its counter fraud and error initiatives over time. These should be set out and reported against in its Annual Report and Accounts for 2020-21. For Universal Credit, the Department should set out its plan for year-on-year reductions in fraud and error, assessing performance against short-term, achievable targets.
Recommendations: The Department should report both the total level of fraud and error in the benefit system and the impact of its easement of controls on fraud and error, accompanied by both narrative and evidence, in its Annual Report and Accounts for 2020-21. This impact should be clearly distinguished from other fraud and error impacts of COVID-19 e.g. due to the increase in caseload.The Department should use information obtained from the process of easing and restoring controls to assess the cost-effectiveness of controls. 4 The Department cannot demonstrate that it is doing everything that is cost-effective to tackle fraud and error. The National Audit Office’s work in 2019-20 on the Department’s strategy to tackle fraud and error showed that the Department could do more to understand the cost-effectiveness of individual controls. The Department’s recent efforts to improve those controls have focused on using its technology and putting more investment into data and data analytics which it hopes will allow it to prevent fraud and error before it enters the system. The impact of these technologies is still unproven: the Department’s Risk and Intelligence Service (RIS) was launched in April 2018 and the Department reported that it was using ‘increasingly sophisticated data and analytical tools’ to tackle fraud and error; however, the estimated rate of overpayments continues to rise. The Department is investing in technology which will enable it to tailor its interventions based on its risk assessment of a claim. However, we are concerned about the potential for discrimination and bias against claimants based on their protected characteristics e.g. age, sex, race etc. Recommendations: The Department needs to be able to monitor and report on the impact and cost effectiveness of each of its fraud and error initiatives and in particular on the impact of its investment in new technology. The Department should monitor and report any discrimination or bias caused by using artificial intelligence and machine learning on different claimant groups.
Recommendation: The Department should review the regulatory regime around its fraud and error activities and communicate to parliament where it believes additional powers or other changes to legislation would improve controls for specific fraud and error risks.
Recommendation: The Department should set out clearly in its Annual Report and Accounts, starting 2020-21: the methods open to it to recover debt; the efficacy of each of these methods on recovering different types of debt; and its expectation of its recovery of different types of debt which are accumulating due to overpayments and be clear about the resources required to deliver on its targets. 7 The people that are being overpaid and underpaid are amongst those least likely in society to be able to pay the money back or absorb an underpayment. The nature of means tested benefits means people entitled to receive the benefits are already those in society with the lowest incomes and savings. Even within this group, those with the least are affected the most by having to repay debts: for instance, Universal Credit claimants with the lowest incomes face larger deductions to repay debts (including advances) applied to their first Universal Credit payment. These deductions can be substantial and are more likely to be so for low income claimants; 45% of Universal Credit claimants on low incomes have 20% or more of their personal allowance deducted in the first assessment period, compared to 27% across all claims. Recommendations: The Department should do more to understand the impact that both overpayments and underpayments have on claimants and ensure that vulnerable claimants are treated with care when dealing with error on the claim. As the Department investigates the impact of its COVID-19 response, it should consider systemic causes of underpayment and act quickly to assess and address these issues. We would like to hear from the department how it intends to do this. |