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Implementing change in the NHS
Factors to consider when implementing a ergonomics intervention
            aimed at reducing back pain among nurses


           Dr. Fiona Trevelyan¹ & Prof. Peter Buckle²
          ¹ Health and Rehabilitation Research Centre
                  Auckland University of Technology, NZ


                ² Robens Centre for Health Ergonomics
                        University of Surrey, UK
Extent of the problem

   Bureau of Labour Statistics (2002)
     1st = Truck drivers
     2nd = Nursing aides, orderlies and attendants
     3rd = Labourers
     6th = Registered nurses
     7th = Construction workers

   Low back pain has been identified as a major reason why nurses leave their
    profession (Nelson et al, 2003)

   Smedley et al (1995) found a 1-year prevalence of 45% with 10% having an
    absence from work for a cumulative period of greater than 4 weeks
Aim of our study


 To implement and evaluate an ergonomics
  intervention in an health care setting

  Smedley J., Trevelyan F., Inskip H., Buckle P., Cooper C., and Coggon D.,
  (2003) Impact of an ergonomics intervention on back pain among nurses.
  Scand J Work Environ Health. 29 (2), 117 – 123.
Intervention process


  3 main stages
     Definition
     Implementation
     Evaluation
Content of intervention

 Policy and risk assessment
 Work organisation
      Senior managers
      Change agents
      Manual handling link nurses
 Equipment
 Training
Patient handling equipment
Evaluation


 Intervention site      Comparison site

Baseline measurement   Baseline measurement

  INTERVENTION            No intervention

   Re-assessment          Re-assessment
Measurement strategy

1. Reported back pain
   Self report questionnaire: low back and neck pain


2. Exposure to risk factors associated with back pain
   a) Task analysis
   Identify proportion of nursing shift accounted for by nursing tasks

   b) Exposure to physical risk factors
   Describe each nursing task with respect to time spent exposed to awkward posture
   (trunk flexion>20 degrees) and load
Data collection: PEO


                 Observed pre/post intervention at
                   both sites:
                 • 16 nurses each for a full shift
                 • Medical and orthopaedic
                   wards
                 • Staff nurses and health care
                   assistants
                 • Early and late shifts
Time spent on ‘intervention’ tasks


                        Proportion of shift   Min. – Max.
   Administration              14%           3 - 26%
   Attend patient              12%           5 - 16%
   Clean/tidy                  7%            1 - 14%
   Wash/dress                  6%            0 - 15%
   Make bed                    3%            0 - 7%
   Patient transfers           3%               -
    TOTAL                       45%
Examples of task identification


  attend patient     administration
Time spent on ‘non-intervention’ tasks


                    Proportion of shift   Min. – max.
   Communication           23%               10 - 25%
   Fetch/carry             7%                3 - 9%
   Other general           11%               6 - 31%
   Other misc.             1%                0 - 12%
   Rest break              8%                2 - 11%
    TOTAL                   50%
Time spent on ‘other’ tasks


                      Proportion of shift   Min. – max.
   Assist to eat             0%            0 - 5%
   Drugs                     1%            0 - 9%
   IV/injection              0%            0 - 5%
   Mealtime                  1%            0 - 5%
   Move object               3%            1 - 6%
   Other basic               0%            0 - 4%
   Other technical           1%            0 - 3%
   TPR                       0%            0 - 2%
   Wound                     0%            0 - 0.3%
    TOTAL                     6%
Duration of ‘intervention’ tasks

                    Median duration (seconds)
                 Comparison         Intervention
                 Pre (post)         Pre (post)

Administration   52 (55)            58 (36)
Attend patient   38 (45)            47 (46)
Clean/tidy       68 (60)            74 (78)
Make bed         157 (260)          161 (209)
Wash/dress       415 (342)          534 (298)
Results: task analysis


 administration’ and ‘clean/tidy’ tasks were associated
  with the least amount of trunk flexion > 20 degrees

 ‘wash/dress’ task was associated with the greatest
  amount of trunk flexion > 20 degrees

 ‘make bed’ task changed by the greatest amount at
  both sites
Results: patient transfers


Patient transfers were characterised by
  short duration
  high percentage time in trunk flexion > 20 degrees

Large variability due in part to:-
  level of patient dependency
  handling technique and equipment used
  work environment
Conclusions: exposure data


 Changes in exposure were less than expected

 Variability in nursing tasks made true estimates of
  change in exposure very difficult to interpret

 Changes at comparison site were not anticipated
Conclusions


 Methods must be sensitive to anticipated change
 Tasks where interventions are targeted may form a small
  part of a shift
 Organisational factors can influence the intensity and
  uptake of an intervention
 The impact of an ergonomic intervention may vary in
  different parts of an organisation
Factors that influenced the intervention



   Intervention took place in a ‘real life’ setting
   Large scale of intervention (24 wards and 1600
    nurses)
   Problems with staff attendance to manual handling
    training
   Work load of Health & Safety Advisers
   Profile of health and safety in the hospital
Recommendations
       If planning a similar intervention


 Recommend a top-down/bottom-up approach
 Adopt a participatory approach
 Agree a strategy that ‘fits’ the organisation and is supported by key
  stakeholders
 Target high risk work areas – depending on size of organisation
 Target high risk ‘intervention’ tasks
 Ensure change agent that leads the intervention is respected within
  the organisation
 Empower local experts e.g. manual handling link nurses
 Create a sustainable structure that will survive staff turnover

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Implementing change in the NHS: Factors to consider

  • 1. Implementing change in the NHS Factors to consider when implementing a ergonomics intervention aimed at reducing back pain among nurses Dr. Fiona Trevelyan¹ & Prof. Peter Buckle² ¹ Health and Rehabilitation Research Centre Auckland University of Technology, NZ ² Robens Centre for Health Ergonomics University of Surrey, UK
  • 2. Extent of the problem  Bureau of Labour Statistics (2002) 1st = Truck drivers 2nd = Nursing aides, orderlies and attendants 3rd = Labourers 6th = Registered nurses 7th = Construction workers  Low back pain has been identified as a major reason why nurses leave their profession (Nelson et al, 2003)  Smedley et al (1995) found a 1-year prevalence of 45% with 10% having an absence from work for a cumulative period of greater than 4 weeks
  • 3. Aim of our study  To implement and evaluate an ergonomics intervention in an health care setting Smedley J., Trevelyan F., Inskip H., Buckle P., Cooper C., and Coggon D., (2003) Impact of an ergonomics intervention on back pain among nurses. Scand J Work Environ Health. 29 (2), 117 – 123.
  • 4. Intervention process 3 main stages  Definition  Implementation  Evaluation
  • 5. Content of intervention  Policy and risk assessment  Work organisation  Senior managers  Change agents  Manual handling link nurses  Equipment  Training
  • 7. Evaluation Intervention site Comparison site Baseline measurement Baseline measurement INTERVENTION No intervention Re-assessment Re-assessment
  • 8. Measurement strategy 1. Reported back pain Self report questionnaire: low back and neck pain 2. Exposure to risk factors associated with back pain a) Task analysis Identify proportion of nursing shift accounted for by nursing tasks b) Exposure to physical risk factors Describe each nursing task with respect to time spent exposed to awkward posture (trunk flexion>20 degrees) and load
  • 9. Data collection: PEO Observed pre/post intervention at both sites: • 16 nurses each for a full shift • Medical and orthopaedic wards • Staff nurses and health care assistants • Early and late shifts
  • 10. Time spent on ‘intervention’ tasks Proportion of shift Min. – Max.  Administration 14% 3 - 26%  Attend patient 12% 5 - 16%  Clean/tidy 7% 1 - 14%  Wash/dress 6% 0 - 15%  Make bed 3% 0 - 7%  Patient transfers 3% - TOTAL 45%
  • 11. Examples of task identification attend patient administration
  • 12. Time spent on ‘non-intervention’ tasks Proportion of shift Min. – max.  Communication 23% 10 - 25%  Fetch/carry 7% 3 - 9%  Other general 11% 6 - 31%  Other misc. 1% 0 - 12%  Rest break 8% 2 - 11% TOTAL 50%
  • 13. Time spent on ‘other’ tasks Proportion of shift Min. – max.  Assist to eat 0% 0 - 5%  Drugs 1% 0 - 9%  IV/injection 0% 0 - 5%  Mealtime 1% 0 - 5%  Move object 3% 1 - 6%  Other basic 0% 0 - 4%  Other technical 1% 0 - 3%  TPR 0% 0 - 2%  Wound 0% 0 - 0.3% TOTAL 6%
  • 14. Duration of ‘intervention’ tasks Median duration (seconds) Comparison Intervention Pre (post) Pre (post) Administration 52 (55) 58 (36) Attend patient 38 (45) 47 (46) Clean/tidy 68 (60) 74 (78) Make bed 157 (260) 161 (209) Wash/dress 415 (342) 534 (298)
  • 15. Results: task analysis  administration’ and ‘clean/tidy’ tasks were associated with the least amount of trunk flexion > 20 degrees  ‘wash/dress’ task was associated with the greatest amount of trunk flexion > 20 degrees  ‘make bed’ task changed by the greatest amount at both sites
  • 16. Results: patient transfers Patient transfers were characterised by  short duration  high percentage time in trunk flexion > 20 degrees Large variability due in part to:-  level of patient dependency  handling technique and equipment used  work environment
  • 17. Conclusions: exposure data  Changes in exposure were less than expected  Variability in nursing tasks made true estimates of change in exposure very difficult to interpret  Changes at comparison site were not anticipated
  • 18. Conclusions  Methods must be sensitive to anticipated change  Tasks where interventions are targeted may form a small part of a shift  Organisational factors can influence the intensity and uptake of an intervention  The impact of an ergonomic intervention may vary in different parts of an organisation
  • 19. Factors that influenced the intervention  Intervention took place in a ‘real life’ setting  Large scale of intervention (24 wards and 1600 nurses)  Problems with staff attendance to manual handling training  Work load of Health & Safety Advisers  Profile of health and safety in the hospital
  • 20. Recommendations If planning a similar intervention  Recommend a top-down/bottom-up approach  Adopt a participatory approach  Agree a strategy that ‘fits’ the organisation and is supported by key stakeholders  Target high risk work areas – depending on size of organisation  Target high risk ‘intervention’ tasks  Ensure change agent that leads the intervention is respected within the organisation  Empower local experts e.g. manual handling link nurses  Create a sustainable structure that will survive staff turnover