Skip to main content
Oxford University Press - PMC COVID-19 Collection logoLink to Oxford University Press - PMC COVID-19 Collection
. 2021 Sep 11:fdab341. doi: 10.1093/pubmed/fdab341

Changing patterns of sickness absence among healthcare workers in England during the COVID-19 pandemic

Rhiannon Edge 1, Diana A van der Plaat 2, Vaughan Parsons 3,4, David Coggon 5, Martie van Tongeren 6, Rupert Muiry 7, Ira Madan 8,9,, Paul Cullinan 10
PMCID: PMC8499865  PMID: 34514506

Abstract

Background

Patterns of sickness absence shed useful light on disease occurrence and illness-related behaviours in working populations.

Methods

We analysed prospectively collected, pseudonymized data on 959 356 employees who were continuously employed by National Health Service trusts in England from 1 January 2019 to 31 July 2020, comparing the frequency of new sickness absence in 2020 with that at corresponding times in 2019.

Results

After exclusion of episodes directly related to COVID-19, the overall incidence of sickness absence during the initial 10 weeks of the pandemic (March–May 2020) was more than 20% lower than in corresponding weeks of 2019. Trends for specific categories of illness varied substantially, with a fall by 24% for cancer, but an increase for mental illness. A doubling of new absences for pregnancy-related disorders during May–July of 2020 was limited to women with earlier COVID-19 sickness absence.

Conclusions

Various factors will have contributed to the large and divergent changes that were observed. The findings reinforce concerns regarding delays in diagnosis and treatment of cancers and support a need to plan for a large backlog of treatment for many other diseases. Further research should explore the rise in absence for pregnancy-related disorders among women with earlier COVID-19 sickness absence.

Keywords: COVID-19, healthcare workers, sickness absence

Introduction

In addition to its impacts on productivity, sickness absence is important as an indicator of patterns of disease and illness-related behaviours in working populations. During the COVID-19 pandemic, healthcare workers have faced a serious threat to their personal safety, in combination with new and heightened occupational demands from a rapidly evolving crisis. Rates of SARS-CoV-2 infection have been higher in healthcare workers than in most other occupations.1–3 Workload has increased because of the exceptional number of patients requiring treatment for the disease, and a need to cover for colleagues who were themselves infected, isolating or shielding. In addition, the pandemic has had wider effects on people’s activities and access to health services which could further alter patterns of sickness absence (e.g. through postponement of less urgent clinical investigation and treatment).

Before the pandemic, staff employed by the National Health Service (NHS) in England had persistently high, but stable, overall rates of sickness absence.4,5 Preliminary analyses have indicated a sudden rise during the early phase of the epidemic nationally (March–April 2020) with notable variability across geographical areas and between staff groups.6–8 Much of this increase will have been driven by absence because of confirmed or suspected COVID-19, but there is a need to examine trends according to different medical reasons for absence.

We report an analysis of data on NHS employees in England, to explore the nature and extent of changes in non-COVID sickness absence during the first wave of the epidemic. We also examine whether absence for COVID-19 infection during the early weeks of the epidemic was associated with altered patterns of sickness absence in the longer term.

Methods

We analysed pseudonymized data that had been abstracted on our behalf from the NHS Electronic Staff Record (ESR). All NHS trusts in England contribute monthly personnel records to the ESR central database, using a standardized coding system. We were given access to information on all staff who had been continuously employed between 1 January 2019 and 31 July 2020. It included demographic and occupational characteristics for each individual, together with data on all absences from work during that period (other than for annual leave), detailing the dates that each episode started and finished, and the reason for absence. An extensive description of the source material and its preliminary processing is presented in an earlier report.9

For the current analysis, we focused on incident episodes of sickness absence across the study sample, classified according to the week of the year in which they started, their duration (≤7 days or >7 days) and the reason for absence. Reasons for sickness absence were classified to 22 diagnostic categories. In addition, from 17 March 2020, trusts had the option to record whether an absence was related to COVID-19.

Statistical analysis was carried out using R Statistical Software (version 4.0.4).10 We calculated percentage changes (with 95% confidence intervals (CIs)) from 2019 to 2020 in the numbers of new episodes of sickness absence during corresponding weeks of the year.

The main periods that we examined were chosen to cover the time immediately before the first wave of the COVID-19 epidemic in England took off (weeks 2–10), the time when it was at its height (weeks 11–20) and then a time when it was subsiding (weeks 21–29). The periods of the year studied were specified a priori, and such that public holidays fell in the same period in each year. The data were complete up to 31 July 2020, and by setting the end of the last period a little earlier, we could reliably determine whether episodes had lasted for longer than 7 days. Year-on-year changes were assessed for all sickness absence, and for sickness absence in which there was no record of COVID-19 as a related reason.

To explore whether infection by COVID-19 was associated with altered patterns of sickness absence in the longer term, we also analysed year-on-year changes for specific categories of absence during weeks 21–29, according to whether individuals had taken COVID-19 sickness absence during weeks 11–18 of 2020. For this purpose, COVID-19 sickness absence was defined as in an earlier report9—i.e. sickness absence in any of five diagnostic categories (cough/flu, chest/respiratory, infectious diseases, other, unknown) with COVID-19 recorded as a related reason.

Ethical approval statement

Ethical approval was provided by the NHS Health Research Authority (reference 20/SC/0282).

Results

After exclusion of 21 775 individuals who were absent continuously throughout the study period, analysis was based on 959 356 employees. Most (89%) were aged between 25 and 60 years, and 77% were female.

Table 1 shows the numbers of new episodes of sickness absence within the study sample during corresponding 9- or 10-week periods in 2019 and 2020. Across the three periods in 2020, COVID-19 was recorded as a related reason for absence in a total of 101 585 new episodes, of which 100 833 (99%) met our specified criteria for COVID-19 sickness absence. Most (87%) began during weeks 11–20, and only 414 (0.4%) started earlier in the year.

Table 1.

Changes in numbers of new episodes of sickness absence from 2019 to 2020 by period of year and category of sickness absence

Category of sickness absence Weeks 2–10 Weeks 11–20 Weeks 21–29
Number in 2019 Number in 2020 Percentage changea (95%CI) Number in 2019 Number in 2020 Percentage changea (95%CI) Number in 2019 Number in 2020 Percentage changea (95%CI)
All categories 278 006 275 134 −1.0 (−1.6 to −0.5) 250 011 284 935 14.0 (13.4 to 14.6) 218 190 170 005 −22.1 (−22.6 to −21.6)
COVID-19b 414 88 695 12 476
All categories except COVID-19 278 006 274 720 −1.2 (−1.7 to −0.7) 250 011 196 240 −21.5 (−22.0 to −21.0) 218 190 157 529 −27.8 (−28.3 to −27.3)
Asthma 1057 1113 5.3 (−3.2 to 14.5) 959 2130 122 (106 to 140) 885 781 −11.8 (−19.8 to −2.8)
Back problems 9409 10 130 7.7 (4.7 to 10.7) 10 459 8410 −19.6 (−21.9 to −17.2) 9859 9622 −2.4 (−5.1 to 0.4)
Blood disorder 526 577 9.7 (−2.5 to 23.5) 646 476 −26.3 (−34.5 to −17.1) 640 427 −33.3 (−41 to −24.6)
Cancer 981 958 −2.3 (−10.7 to 6.7) 1041 790 −24.1 (−30.8 to −16.8) 1053 678 −35.6 (−41.5 to −29.1)
Cardiac and circulatory 2315 2528 9.2 (3.2 to 15.5) 2673 2525 −5.5 (−10.5 to −0.3) 2566 2403 −6.4 (−11.4 to −1.0)
Chest and respiratory 12 787 11 725 −8.3 (−10.6 to −6.0) 9143 12 083 32.2 (28.6 to 35.8) 6863 3298 −51.9 (−53.9 to −49.9)
Cough, flu 82 504 72 641 −12.0 (−12.8 to −11.1) 45 138 34 070 −24.5 (−25.6 to −23.5) 28 110 6403 −77.2 (−77.8 to −76.6)
Dental and oral problems 3133 3371 7.6 (2.5 to 13.0) 3633 2391 −34.2 (−37.5 to −30.7) 3418 2929 −14.3 (−18.4 to −10.0)
Ear, nose, throat 9773 10 831 10.8 (7.8 to 13.9) 10 181 6854 −32.7 (−34.7 to −30.6) 9074 5377 −40.7 (−42.7 to −38.7)
Endocrine, glandular problems 791 851 7.6 (−2.3 to 18.5) 943 662 −29.8 (−36.4 to −22.5) 887 654 −26.3 (−33.4 to −18.4)
Eye problems 2644 2895 9.5 (3.9 to 15.4) 3108 1782 −42.7 (−45.9 to −39.2) 2878 2001 −30.5 (−34.3 to −26.4)
Gastrointestinal problems 50 359 49 775 −1.2 (−2.4 to 0.1) 54 410 28 098 −48.4 (−49.1 to −47.6) 49 317 32 687 −33.7 (−34.6 to −32.8)
Genitourinary, gynaecological 7405 8072 9.0 (5.6 to 12.5) 8188 5417 −33.8 (−36.1 to −31.5) 7964 6327 −20.6 (−23.1 to −17.9)
Headache, migraine 15 255 17 210 12.8 (10.4 to 15.3) 17 239 16 358 −5.1 (−7.1 to −3.1) 17 362 19 053 9.7 (7.5 to 12.0)
Infectious diseases 1644 1699 3.3 (−3.4 to 10.6) 1670 6401 283 (263 to 305) 1690 1454 −14.0 (−19.8 to −7.7)
Injury, fracture 5797 6214 7.2 (3.4 to 11.1) 6681 4832 −27.7 (−30.3 to −24.9) 6634 5809 −12.4 (−15.5 to −9.3)
Mental health 15 888 20 470 28.8 (26.2 to 31.5) 17 749 25 259 42.3 (39.6 to 45.1) 17 974 20 792 15.7 (13.4 to 18.0)
Nervous system disorders 971 1089 12.2 (2.9 to 22.3) 1095 891 −18.6 (−25.5 to −11.1) 1082 950 −12.2 (−19.5 to −4.2)
Other musculoskeletal disorders 12 630 13 478 6.7 (4.2 to 9.3) 14 137 9997 −29.3 (−31.1 to −27.5) 14 282 11 748 −17.7 (−19.7 to −15.7)
Pregnancy-related disorders 7151 7082 −1.0 (−4.2 to 2.3) 6211 5179 −16.6 (−19.6 to −13.5) 3699 4079 10.3 (5.5 to 15.3)
Skin disorders 1702 1854 8.9 (2.0 to 16.3) 2007 1892 −5.7 (−11.5 to 0.4) 2248 2066 −8.1 (−13.4 to −2.4)
Other and unknown 33 284 30 130 −9.5 (−10.9 to −8.1) 32 700 19 743 −39.6 (−40.7 to −38.5) 29 705 17 991 −39.4 (−40.5 to −38.3)

Weeks 2–10 correspond to the equivalent periods: 7 January 2019 to 10 March 2019, and 6 January 2020 to 8 March 2020.

Weeks 11–20 correspond to the equivalent periods: 11 March 2019 to 19 May 2019, and 9 March 2020 to 17 May 2020.

Weeks 21–29 correspond to the equivalent periods: 20 May 2019 to 21 July 2019, and 18 May 2020 to 19 July 2020.

aCalculated as 100*(Number in 2020 – Number in 2019)/Number in 2019.

bAny sickness absence in which COVID-19 was recorded as a related reason for absence.

For sickness absence that was not recorded as COVID-related, the overall number of new episodes during weeks 2–10 of 2020 was similar to that in the corresponding weeks of 2019 (274 720 versus 278 006), although within that, there were increases for mental illness (by 28.8%) and headache/migraine (by 12.8%), offset by a reduction for cough/flu (by 12.0%). In contrast, much larger year-on-year changes were observed during weeks 11–20. The total number of new non-COVID absences fell by 21.5%, including reductions for gastrointestinal problems (by 48.4%), genitourinary/gynaecological disorders (by 33.8%), eye problems (by 42.7%), injury and fracture (by 27.7%), back problems (by 19.6%), other musculoskeletal disorders (by 29.3%), disorders of ear, nose and throat (by 32.7%), cough/flu (by 24.5%) and cancer (by 24.1%). On the other hand, large increases were observed for infectious diseases (by 283%), asthma (by 122%), chest and respiratory disorders (by 32.2%) and mental illness (by 42.3%). In the third period (weeks 21–29), the overall year-on-year reduction in non-COVID absences was maintained (down by 27.8%), with changes for most specific diagnostic categories in the same direction as for weeks 11–20. Exceptions, however, were asthma, chest and respiratory disorders and infectious diseases, for all of which numbers were lower in 2020 than in 2019, and pregnancy-related disorders, for which there was a 10% increase.

Figure 1 shows the percentage change from 2019 to 2020 in new episodes of sickness absence by individual week of the year for selected diagnostic categories, and weekly numbers of new episodes of COVID-19 sickness absence during 2020. The surges in absence for infectious diseases, asthma and chest and respiratory disorders all coincided with the emergence of absences for COVID-19, peaking 1–2 weeks earlier, while the increase in new absences for mental illness was less steep and peaked several weeks later.

Fig. 1.

Fig. 1

Percentage change from 2019 to 2020 in new episodes of sickness absence for selected causes and number of new absences for COVID-19 by week of year.

Table 2 breaks down the year-on-year changes in numbers of new absence episodes during weeks 11–29 according to whether they were of short (≤7 days) or longer duration. The increases for asthma, chest and respiratory disorders, infectious diseases and mental illness were all larger for longer term than for short-duration episodes. There were also increases in long-duration absences for cough/flu and cardiac and circulatory disease, whereas short-duration absences for these diagnostic categories were less frequent in 2020 than in 2019. The reduction in absences for cancer was greater for short-duration episodes (48.1%) but was apparent also for episodes of longer duration (18.0%).

Table 2.

Changes in numbers of new episodes of sickness absence during weeks 11–29 from 2019 to 2020 by category and duration of sickness absence

Category of sickness absence Duration of absence ≤ 7 days Duration of absence > 7 days
Number in 2019 Number in 2020 Percentage changea (95%CI) Number in 2019 Number in 2020 Percentage changea (95%CI)
All categories 379 770 300 545 −20.9 (−21.2 to −20.5) 88 431 154 395 74.6 (73.2 to 76.0)
All categories except COVID-19 379 770 250 449 −34.1 (−34.4 to −33.7) 88 431 103 320 16.8 (15.8 to 17.9)
Asthma 1471 1647 12.0 (4.4 to 20.1) 373 1264 239 (202 to 280)
Back problems 14 642 12 080 −17.5 (−19.5 to −15.5) 5676 5952 4.9 (1.1 to 8.7)
Blood disorder 823 504 −38.8 (−45.2 to −31.6) 463 399 −13.8 (−24.6 to −1.5)
Cancer 825 428 −48.1 (−53.8 to −41.7) 1269 1040 −18.0 (−24.5 to −11.0)
Cardiac and circulatory 3315 2811 −15.2 (−19.4 to −10.8) 1924 2117 10.0 (3.4 to 17.0)
Chest and respiratory 12 175 8034 −34.0 (−35.8 to −32.1) 3831 7347 91.8 (84.4 to 99.4)
Cough, flu 69 177 30 507 −55.9 (−56.5 to −55.3) 4071 9966 145 (136 to 154)
Dental and oral problems 6489 4862 −25.1 (−27.8 to −22.2) 562 458 −18.5 (−28.0 to −7.8)
Ear, nose, throat 16 346 9840 −39.8 (−41.3 to −38.3) 2909 2391 −17.8 (−22.1 to −13.2)
Endocrine, glandular problems 1212 814 −32.8 (−38.5 to −26.6) 618 502 −18.8 (−27.8 to −8.6)
Eye problems 4673 2998 −35.8 (−38.7 to −32.8) 1313 785 −40.2 (−45.3 to −34.7)
Gastrointestinal problems 98 113 56 124 −42.8 (−43.4 to −42.2) 5614 4661 −17.0 (−20.1 to −13.7)
Genitourinary, gynaecological 11 977 9199 −23.2 (−25.3 to −21.1) 4175 2545 −39.0 (−42.0 to −36.0)
Headache, migraine 33 292 33 648 1.1 (−0.5 to 2.6) 1309 1763 34.7 (25.4 to 44.7)
Infectious diseases 2463 4174 69.5 (61.2 to 78.1) 897 3681 310 (281 to 341)
Injury, fracture 7160 5643 −21.2 (−23.9 to −18.4) 6155 4998 −18.8 (−21.8 to −15.7)
Mental health 14 973 15 768 5.3 (3.0 to 7.7) 20 750 30 283 45.9 (43.4 to 48.5)
Nervous system disorders 1424 1092 −23.3 (−29.1 to −17) 753 749 −0.5 (−10.1 to 10.1)
Other musculoskeletal disorders 18 215 13 741 −24.6 (−26.2 to −22.9) 10 204 8004 −21.6 (−23.8 to −19.2)
Pregnancy-related disorders 7110 5618 −21.0 (−23.7 to −18.2) 2800 3640 30.0 (23.8 to 36.6)
Skin disorders 3201 2762 −13.7 (−18.0 to −9.2) 1054 1196 13.5 (4.5 to 23.3)
Other and unknown 50 694 28 155 −44.5 (−45.3 to −43.6) 11 711 9579 −18.2 (−20.4 to −16)

aCalculated as 100*(Number in 2020 – Number in 2019)/Number in 2019.

Table 3 shows percentage changes from 2019 to 2020 in numbers of new absences during weeks 21–29, according to whether individuals had COVID-19 sickness absence during weeks 11–18 of 2020. There were few clear indications (from 95% confidence intervals) of a differential change in subsequent patterns of new sickness absence following previous absence for COVID-19. However, the year-on-year increase in new absences for pregnancy-related disorders during weeks 21–29 was much greater among women with earlier COVID-19 sickness absence (215%, 95%CI 159–284%) than in those without COVID-19 (2.8%, 95%CI −1.8 to 7.6%).

Table 3.

Changes from 2019 to 2020 in numbers of new episodes of sickness absence during weeks 21–29 by category of sickness absence, according to whether individuals had new COVID-19 sickness absence during weeks 11–18 of 2020

Category of sickness absence No new COVID-19 sickness absence during weeks 11–18 of 2020 New COVID-19 sickness absence during weeks 11–18 of 2020
Number in 2019 Number in 2020 Percentage changea (95%CI) Number in 2019 Number in 2020 Percentage changea (95%CI)
All categories 195 563 151 106 −22.7 (−23.2 to −22.2) 22 627 18 899 −16.5 (−18.1 to −14.8)
All categories except COVID-19 195 563 140 839 −28.0 (−28.5 to −27.5) 22 627 16 690 −26.2 (−27.7 to −24.7)
Asthma 791 685 −13.4 (−21.8 to −4.1) 94 96 2.1 (−23.2 to 35.7)
Back problems 8798 8605 −2.2 (−5.1 to 0.8) 1061 1017 −4.1 (−12.0 to 4.5)
Blood disorder 574 378 −34.1 (−42.2 to −25) 66 49 −25.8 (−48.7 to 7.4)
Cancer 990 620 −37.4 (−43.4 to −30.8) 63 58 −7.9 (−35.6 to 31.5)
Cardiac and circulatory 2279 2114 −7.2 (−12.6 to −1.6) 287 289 0.7 (−14.5 to 18.6)
Chest and respiratory 6183 2836 −54.1 (−56.1 to −52.0) 680 462 −32.1 (−39.6 to −23.5)
Cough, flu 25 165 5766 −77.1 (−77.7 to −76.4) 2945 637 −78.4 (−80.1 to −76.4)
Dental and oral problems 3059 2600 −15.0 (−19.3 to −10.4) 359 329 −8.4 (−21.1 to 6.4)
Ear, nose, throat 8111 4858 −40.1 (−42.2 to −37.9) 963 519 −46.1 (−51.6 to −40.0)
Endocrine, glandular problems 799 564 −29.4 (−36.6 to −21.4) 88 90 2.3 (−23.8 to 37.2)
Eye problems 2578 1814 −29.6 (−33.7 to −25.3) 300 187 −37.7 (−48.1 to −25.2)
Gastrointestinal problems 44 211 29 352 −33.6 (−34.6 to −32.6) 5106 3335 −34.7 (−37.5 to −31.8)
Genitourinary, gynaecological 7103 5656 −20.4 (−23.1 to −17.5) 861 671 −22.1 (−29.5 to −13.8)
Headache, migraine 15 617 17 038 9.1 (6.8 to 11.5) 1745 2015 15.5 (8.3 to 23.1)
Infectious diseases 1505 1313 −12.8 (−19.0 to −6.1) 185 141 −23.8 (−38.8 to −5.1)
Injury, fracture 5922 5212 −12.0 (−15.2 to −8.7) 712 597 −16.2 (−24.8 to −6.5)
Mental health 16 126 18 673 15.8 (13.4 to 18.3) 1848 2119 14.7 (7.7 to 22.0)
Nervous system disorders 974 843 −13.4 (−21.1 to −5.1) 108 107 −0.9 (−24.2 to 29.4)
Other musculoskeletal disorders 12 639 10 492 −17.0 (−19.1 to −14.8) 1643 1256 −23.6 (−29.0 to −17.7)
Pregnancy-related disorders 3569 3669 2.8 (−1.8 to 7.6) 130 410 215 (159 to 28)
Skin disorders 2051 1845 −10.0 (−15.5 to −4.2) 197 221 12.2 (−7.4 to 35.9)
Other and unknown 26 519 15 906 −40.0 (−41.2 to −38.8) 3186 2085 −34.6 (−38.1 to −30.8)

aCalculated as 100*(Number in 2020 – Number in 2019)/Number in 2019.

Discussion

Main findings of this study

Our analysis confirms that during the first wave of COVID-19 in England there were major changes in the incidence of sickness absence among NHS staff as compared with the corresponding period a year earlier. For some diagnostic categories (e.g. asthma, chest and respiratory disease, infectious diseases and mental illness), rates of absence increased (at least initially), whereas for others (e.g. musculoskeletal disorders, injury and fracture, gastrointestinal disease, genitourinary and gynaecological disease and, most notably, cancer), there were substantial reductions. COVID-19 sickness absence during weeks 11–18 of 2020 was not clearly associated with a higher year-on-year rise in new sickness absence during weeks 21–29, other than for pregnancy-related disorders.

The diverging trends that we report may have been driven by various mechanisms including direct effects of COVID-19; a lower threshold for absence because of symptoms that might be caused by coronavirus infection; fears about vulnerability to COVID-19 in the presence of some comorbidities; pressures either at work or domestically as a consequence of the epidemic; a higher threshold for taking sickness absence in general because of the need to respond to the emergency posed by COVID-19; changes in activities outside work as a consequence of the epidemic; reluctance to present to medical services; health system reprioritization and longer term trends unrelated to COVID-19.

What is already known on this topic

Patterns of orthopaedic injury observed during the COVID-19 epidemic (low-energy/fragility trauma persisted, while injuries associated with younger people reduced) indicate that social distancing measures contributed to the reduction.11 Referrals for suspected cancer in the UK during April–August 2020 were down by approximately 350 000 compared with the same period in 2019,12 as a consequence, 40 000 fewer patients started cancer treatment in 2020.13 Evidence is emerging that COVID-19 poses an increased risk in pregnancy, with higher odds of premature birth than in women who do not have the disease,14 and a greater risk of severe illness (particularly in the context of high body mass index and pre-existing comorbidities) as compared with that in infected women of the same age who are not pregnant.15

What this study adds

This is the first large study of the effects of the COVID-19 pandemic on sickness absence in healthcare workers for illness not directly attributable to coronavirus infection. The large sample size (almost a million individuals) gave the investigation high statistical power, and because we limited it to staff who were employed continuously throughout the study period, changes in numbers of new absences directly reflected changes in incidence rates. Moreover, they could not be confounded by differences between individuals in propensity to take sickness absence when ill, although they could reflect changes over time in thresholds for taking absence.

Absences for infectious disease and chest and respiratory disorders increased sharply in March 2020 compared with 2019 and closely paralleled the trajectory of COVID-19 sickness absence. This may have reflected failure to correctly identify and label some illness as COVID-related, especially early in the epidemic when testing was less widely available. In addition, individuals may have had a lower threshold for taking absence for illnesses with COVID-like symptoms because of the possibility that it might be caused by coronavirus. Year-on-year increases were predominantly for longer duration absences (Table 2), which suggests that the former was the main driver of the increase.

The pattern of sickness absence attributed to cough/flu was different, with year-on-year reductions in sickness absence episodes throughout the first wave of the epidemic. However, those reductions related only to short-duration episodes, and following the onset of the epidemic, new long-term episodes more than doubled (Table 2). Again, this is likely to reflect failure to identify and label COVID-related illness. The fall in short-term absence may be attributable to reductions in the incidence of common respiratory infections as a consequence of measures taken to reduce transmission of coronavirus.16,17

The surge in new absences for asthma closely paralleled the rise in COVID-19 sickness absence (Fig. 1) and was driven by episodes of longer duration (Table 2). It is possible that during the early phase of the epidemic, some workers with asthma took precautionary sickness absence due to concerns about vulnerability to COVID-19 (on which the evidence at that stage was uncertain).18

The year-on-year fall in new episodes of absence for injury and fracture, which applied to both short and longer duration absence (Table 2), was more marked in the early phase of the epidemic (Table 1) when restrictions on activities outside work were greatest. It may have resulted, at least in part, from lower rates of injuries because of reductions in activities such as sports and driving.

A year-on-year increase in sickness absence for mental health was apparent prior to the COVID-19 epidemic, but it was most marked in weeks 11–20, suggesting that stresses relating to the epidemic (either at or outside work) may have led to an increase in mental illness. This will be explored in more detail in a separate paper.

New episodes of sickness absence for cardiovascular disease and cancer declined in the 20 weeks following the onset of the COVID-19 epidemic, but the reduction was much greater for cancer (30%) than for cardiac and circulatory disorders (6%). There is no reason to suspect that the incidence of such diseases changed as a consequence of the pandemic, and the trends are more likely to have been driven by changes in health-seeking behaviour, and the postponement of less urgent investigations (e.g. in follow-up of patients) due to reprioritization of health systems.19 There may have been some reluctance to seek medical advice about new symptoms when healthcare services were under pressure, especially where symptoms were not seriously incapacitating. In addition, individuals may have postponed medical consultation because they were preoccupied in adjusting to personal/professional demands posed by the pandemic. The reduction in sickness absence for cancer was greatest for short-duration episodes, indicative of a change in health-seeking behaviour. Whatever the reason, the finding adds to concerns about an impending problem from late diagnosis and treatment of cancers as a consequence of the pandemic. In the case of cardiovascular disease, the impact of delayed diagnosis and treatment may be more immediate than for cancer, and that could explain why the incidence of longer duration absence for cardiac and circulatory disorders rose despite a fall in short-duration absences (Table 3).

A combination of factors could have contributed to declines following the onset of the epidemic in absence for categories of illness such as dental and oral problems; disorders of ear, nose and throat; endocrine and glandular disease; eye problems; genitourinary and gynaecological disorders; diseases of the nervous system and skin problems. They include altered thresholds for taking absence for minor symptoms because of a wish to support patients and colleagues when services are stretched; diversion of resources from other services (e.g. less urgent surgery) to the management of COVID-19; and avoidance of healthcare settings because of a perceived risk of exposure to infection.20 The last two could again be expected to forebode long-term challenges from a backlog of untreated morbidity.

Pregnancy-related disorders were the only category of sickness absence for which the year-on-year increase was greatest in weeks 21–29, and remarkably, that increase was limited to women who had an earlier episode of COVID-19 sickness absence during weeks 11–18 (Table 3). This cannot be explained by women opting for earlier maternity leave, which was coded separately from sickness absence, nor is it likely to reflect generic fears about risks from COVID-19 during pregnancy—the rise occurred after the initial peak of the epidemic and did not follow the pattern observed for asthma. Moreover, it was limited to women with earlier COVID-19 sickness absence. While that is an imperfect measure of COVID-19 infection, we have shown previously that it correlated with a positive antibody test for SARS-CoV-2.9

Limitations of this study

Information in the central ESR database had been collected prospectively through monthly updates, which were provided by NHS trusts in a standardized format. Dates of absence should have been highly reliable, but reasons for absence, which will have been determined originally from a combination of self-report and (for longer episodes) medical certification, may have been more prone to error, and also to inconsistencies in coding. In general, however, we would not expect there to have been systematic changes in the misclassification of reasons for sickness absence over the study period.

The broad categories that were used when coding reasons for absence should have reduced the scope for misclassification, but they prevented us from exploring patterns of absence in finer detail. Nor was it possible to investigate longer-term trends, although the year-on-year comparison for the weeks 2–10 provided some insight into levels of change that might have been expected in the absence of COVID-19.

Conclusions

The COVID-19 pandemic has had a profound effect on patterns of sickness absence among NHS staff. Of particular concern is the marked reduction in sickness absence for cancer, which suggests an added burden of future morbidity, and perhaps mortality, as a consequence of delays in diagnosis and treatment—such effects would be expected to extend to the wider population. In addition, plans are needed to manage a backlog of treatment for many other categories of disease that has been postponed because of the COVID-19 pandemic. Further research should be undertaken to understand the rise in absence for pregnancy-related disorders, which was limited to women with earlier COVID-19 sickness absence.

Acknowledgements

We are very grateful to the following, without whom the study would not have been possible: Sam Wright, Workforce Information Advisor, NHS Electronic Staff Record, and Mike Vickerman, Workforce Information and Analysis, DHSC. Dr Gavin Debrera (Public Health England) and Dr Kit Harling gave invaluable help in planning the study. We are grateful too, to Lee Isidore, Manal Sadik and Victoria Thorpe for their helpful input into the interpretation of our findings.

Rhiannon Edge, Lecturer

Diana A. Plaat, Research Fellow

Vaughan Parsons, Research Fellow

David Coggon, Professor

Martie Tongeren, Professor

Rupert Muiry, Research Assistant

Ira Madan, Professor

Paul Cullinan, Professor

Contributor Information

Rhiannon Edge, Lancaster Medical School, Lancaster University, Lancaster, UK.

Diana A van der Plaat, National Heart and Lung Institute (NHLI), Imperial College London, London, UK.

Vaughan Parsons, Occupational Health Service, Guy’s and St Thomas’ NHS Foundation Trust, London, UK; Faculty of Life Sciences and Medicine, King’s College London, London, UK.

David Coggon, MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK.

Martie van Tongeren, School of Health Sciences, Centre for Occupational and Environmental Health, University of Manchester, Manchester, UK.

Rupert Muiry, Occupational Health Service, Guy’s and St Thomas’ NHS Foundation Trust, London, UK.

Ira Madan, Occupational Health Service, Guy’s and St Thomas’ NHS Foundation Trust, London, UK; Faculty of Life Sciences and Medicine, King’s College London, London, UK.

Paul Cullinan, National Heart and Lung Institute (NHLI), Imperial College London, London, UK.

Data availability

With permission, source data are available upon request from the NHS Electronic Staff Record (ESR) Warehouse (NHS England).

Contributorship statement

All authors contributed to the planning, conduct, analyses and reporting of this manuscript as outlined below.

Rhiannon Edge (Lecturer in Population Health) was responsible for advising on study design, analysis and interpretation of results.

Diana van der Plaat (Statistician) was responsible for the statistical aspects of analysis and interpretation of the quantitative aspects of the study.

Vaughan Parsons (Research manager) was responsible for overseeing the set-up and delivery of the study and facilitated data collection.

David Coggon (Emeritus Professor of Occupational and Environmental Medicine) was responsible for advising on methodological design, analysis and interpretation of results.

Martie van Tongeren (Professor of Occupational and Environmental Medicine) was responsible for advising on study design, analysis and interpretation of results.

Rupert Muiry (Research assistant) was responsible for scoping out and reviewing the emerging literature.

Ira Madan (Consultant Occupational Physician and Reader) was co-chief investigator with responsibility for advising on study design, analysis and interpretation of results.

Paul Cullinan (Professor in Occupational and Environmental Respiratory Disease) was chief investigator with responsibility for advising on study design, analysis and interpretation of results. He had overall responsibility for the management and delivery of the study.

Funding

This work was supported by Colt Foundation UK, award number not applicable.

Conflict of interest

All authors have completed the ICMJE uniform disclosure form at www.icmje.org/coi_disclosure.pdf and declare: no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous 3 years; no other relationships or activities that could appear to have influenced the submitted work.

References

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

With permission, source data are available upon request from the NHS Electronic Staff Record (ESR) Warehouse (NHS England).


Articles from Journal of Public Health (Oxford, England) are provided here courtesy of Oxford University Press

RESOURCES