Table 3. The association between facility characteristics and the frequency of concordant data elements in paper records and KenyaEMR during baseline RDQAs.
| Concordance score1 | β2 | (95% CI) | P-value | |
|---|---|---|---|---|
| Facility type | ||||
| Health centre | 11.7 | Ref | — | — |
| Other facility type | 12.1 | 1.15 | (-1.76–4.06) | 0.439 |
| Facility ownership | ||||
| Ministry of Health | 11.9 | Ref | — | — |
| Faith-based organization | 11.6 | -1.25 | (-3.06–0.56) | 0.176 |
| Months of EMR implementation | ||||
| 13–18 months | 11.4 | Ref | — | — |
| 19–23 months | 12.7 | 0.57 | (-2.30–3.43) | 0.699 |
| 24–31 months | 11.1 | -1.64 | (-7.00–3.72) | 0.549 |
| Patients ever enrolled in HIV care | ||||
| Under 300 | 11.6 | Ref | — | — |
| 301–999 | 12.9 | 1.84 | (-0.55–4.24) | 0.131 |
| 1000 and over | 11.5 | 0.27 | (-3.80–4.34) | 0.896 |
| All facilities | 11.9 | — | — | — |
1 20 data elements were used to generate the concordance score, with one point awarded for each of the 20 elements that had matching values recorded on paper records and KenyaEMR (0 indicates no concordant elements, 20 indicates complete concordance). The 20 data elements were patient ID, sex, date of birth, enrollment date, enrollment program, entry point, last visit date, next visit date, number of clinic visits, first CD4 count, last CD4 count, first WHO stage, last WHO stage, last co-trimoxazole date, ART start date, ART regimen, weight, transfer in date, transfer out date, and date of death.
2 A multivariable GEE model was used to determine if facility characteristics were associated with a difference in the mean concordance score across 20 data elements. GEE models used an identity link, normal distribution, exchangeable correlation matrix, and robust standard errors that allow for clustering by facility.