from which 150 were randomly selected and analysed in a spreadsheet. The forms covered patients from a range of locations but did not include demographic details. In total, the qualitative experiences of 221 patients were gathered across the three methods. The demographic characteristics are summarised in Appendix 5. The potential limitations of the sample of telephone interviews should be noted. Time constraints meant that informed consent had to be sought via the 30-day patient follow-up call, and so this meant the sample was skewed to those with recent experiences. The sample was also skewed towards caregivers of children under the age 16 years, who formed 20/28 or 71% of interviewees. Furthermore, 18/20 of these children had received dental surgery. Nevertheless, we do not believe that the robustness of the interviews was compromised, given the consistency of the results with those obtained from the other two methods. : Sampling patient views summary of sample sizes – Patient telephone Patient postal Patient feedback Indicator interviews survey forms Sample size (n) 28 43 150 Response rate (%) 76% (28/37) 27% (43/162) 22% (150/690)1 Source: Sapere Research Group Not strictly a response rate; sampled from forms received by the provider over a 12-month period. Quantitative approaches Service volume analysis Data on the volumes delivered under the services was made available by MSS Ltd through an online portal. We analysed the data for patterns and trends. The key data elements identified for the mobile surgical service were: discharges by hospital site, health specialty and diagnostic-relating ( DRG); patient demographic information, including sex, age and ethnicity; patients who did not attend their surgical appointment (“no shows” or DNAs); and the number of surgical days per year. We used this data for a number of purposes, for example, to a picture of performance against contract and to inform our consideration of patient access to the mobile surgical service. To that end, we estimated the rate of not attends” for the mobile surgical bus and “did compared that with average rates across district health boards. We also considered whether the service helps to reduce health inequalities for Māori and Pacific peoples, by examining discharges by ethnicity and comparing the representation of those groups with their representation among estimates of the rural population.
from which 150 were randomly selected and analysed in a spreadsheet. The forms covered patients from a range of locations but did not include demographic details. In total, the qualitative experiences of 221 patients were gathered across the three methods. The demographic characteristics are summarised in Appendix 5. The potential limitations of the sample of telephone interviews should be noted. Time constraints meant that informed consent had to be sought via the 30-day patient follow-up call, and so this meant the sample was skewed to those with recent experiences. The sample was also skewed towards caregivers of children under the age 16 years, who formed 20/28 or 71% of interviewees. Furthermore, 18/20 of these children had received dental surgery. Nevertheless, we do not believe that the robustness of the interviews was compromised, given the consistency of the results with those obtained from the other two methods. : Sampling patient views – summary of sample sizes Indicator Patient telephone interviews Patient postal survey Patient feedback forms Sample size (n) 28 43 150 Response rate (%) 76% (28/37) 27% (43/162) 22% (150/690)1 Source: Sapere Research Group Not strictly a response rate; sampled from forms received by the provider over a 12-month period. Quantitative approaches Service volume analysis Data on the volumes delivered under the services was made available by MSS Ltd through an online portal. We analysed the data for patterns and trends. The key data elements identified for the mobile surgical service were: discharges by hospital site, health specialty and diagnostic-relating ( DRG); patient demographic information, including sex, age and ethnicity; patients who did not attend their surgical appointment (“no shows” or DNAs); and the number of surgical days per year. We used this data for a number of purposes, for example, to a picture of performance against contract and to inform our consideration of patient access to the mobile surgical service. To that end, we estimated the rate of “did not attends” for the mobile surgical bus and compared that with average rates across district health boards. We also considered whether the service helps to reduce health inequalities for Māori and Pacific peoples, by examining discharges by ethnicity and comparing the representation of those groups with their representation among estimates of the rural population.
mss-review-report.docx