Variables to be used in quantitative component
| Data collected | Examples | Further information |
|---|---|---|
| Baseline measures | Age, sex, ethnicity, benefit and employment history, reason for leaving last job, health condition (s), health concerns that affect ability to work, job goal, motivation to find work, education level, housing status, parental status, carer status, data zone | Collected by employment advisor following referral to Work Programme Datazone computed by Ingeus from client's postcode |
| Intervention components | Employability Workshops (eg, ‘interview practice’, ‘letter writing support’, ‘online job search support’) Employer Services (eg, ‘job finding’, ‘prescreening’, ‘sectoral routeway training’ eg, food hygiene and Construction Skills Certification Scheme tests) Health and Wellbeing Service (HWS) workshops (eg, health-specific, lifestyle and well-being, weekly exercise, work-specific and health education workshops) Health specific questionnaires
| Attendance at the workshop/appointment, the date and where appropriate if the intervention was completed will be provided Questionnaires only collected for those clients who engage with HWS (pre and post measures may be available) |
| Distance travelled and progression towards work | Ingeus use a CMF, to track the progress of clients through the Work Programme towards work. There are eight recordable ordinal scale stages to the CMF and this will be used to indicate a client's ‘distance travelled’ and movement towards the labour market | Running count of the times that a client has been moved from one CMF category to another. Will also be provided with the first and latest CMF rating including dates |
| Milestones and Job outcomes | Job start, 13-week job outcome, 26-week job outcome Sustainment outcome, job title, type of employment started, type of contract, name of employer, location of job | Variables available if client enters work and sustains in work |
| Area characteristics | Local level of multiple deprivation (which may influence factors such as peer pressure, role models) as well as potential employer discrimination Transport links and distance to key sources of information and training, for example, distance to further education; unemployment levels Local demand measures including employment centres (part time, low paid workers are less likely to travel far, so travel-to-work data are insufficient) and vacancy data (although local Job Centre Plus vacancy data need to be treated with caution) distance to health services Various forms of urban area, rurality and remoteness measures | Completed by research team using other data for example, SIMD, The Scottish Government Urban Rural Classification (eightfold) |
CMF, caseload management framework; HWS, Health and Wellbeing Service; SIMD, Scottish Index of Multiple Deprivation.