Table 1.
Demographic profile and results of the knowledge-attitude-practice survey of nurses responsible for early warning surveillance data collection and reporting
| Community clinics | National Referral Hospital | Rural hospitals | Total | |||||
|---|---|---|---|---|---|---|---|---|
| No. | Percent | No. | Percent | No. | Percent | No. | Percent | |
| Number of respondents | 7 | 58% | 2 | 17% | 3 | 25% | 12 | 100% |
| Sex | ||||||||
| Female | 6 | 50% | 2 | 17% | 1 | 8% | 9 | 75% |
| Male | 1 | 8% | 0 | 0% | 2 | 17% | 3 | 25% |
| Role | ||||||||
| Nurses | 4 | 33% | 1 | 8% | 0 | 0% | 5 | 42% |
| Nurse/facility managers | 3 | 25% | 1 | 8% | 1 | 8% | 5 | 42% |
| Nurse/ surveillance focal point | 0 | 0% | 0 | 0% | 2 | 17% | 2 | 17% |
| Qualification | ||||||||
| Tertiary nursing qualifications | 7 | 58% | 2 | 17% | 3 | 25% | 12 | 100% |
| Years involvement with SI-SSSa | ||||||||
| < 1 year | 1 | 8% | 0 | 0% | 0 | 0% | 1 | 8% |
| 1–4 years | 2 | 17% | 0 | 0% | 3 | 25% | 5 | 42% |
| > 4 years | 4 | 33% | 2 | 17% | 0 | 0% | 6 | 50% |
| Knowledge of functions of disease surveillanceb | ||||||||
| Able to describe at least one function | 3 | 43% | 0 | 0% | 3 | 100% | 6 | 50% |
| Able to describe > 1 function | 4 | 57% | 2 | 100% | 0 | 0% | 6 | 50% |
| Knowledge of key objective of SI-SSS | 7 | 100% | 2 | 100% | 3 | 100% | 12 | 100% |
| Willingness to contribute to the SI-SSS | ||||||||
| Very willing | 7 | 100% | 2 | 100% | 3 | 100% | 12 | 100% |
| Access to the internet from personally owned devise | ||||||||
| Yes | 4 | 57% | 1 | 50% | 1 | 33% | 6 | 50% |
| No | 3 | 33% | 1 | 50% | 2 | 67% | 6 | 50% |
| Self-reported familiarity with using the internet | ||||||||
| High level | 3 | 43% | 2 | 100% | 3 | 100% | 8 | 67% |
| Moderate level | 3 | 43% | 0 | 0% | 0 | 0% | 3 | 25% |
| None/limited level | 1 | 14% | 0 | 0% | 0 | 0% | 1 | 8% |
| Leading factors that motivate nurses to conduct surveillance | In-clinic visits from MHMS staff to provide semi-formal and opportunistic trainings (n = 8; 67%) Formal recognition by supervisors and senior staff / awards for performance (n = 6; 50%) Seeing ones’ data presented in the weekly surveillance reports (n = 6; 50%) |
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| Leading barriers that inhibit robust surveillance practice | Lack of time when clinic case load is high (n = 12; 100%) Perception that surveillance is not nurses’ responsibility but rather conducted voluntarily (n = 10; 83%) Surveillance seen as a secondary / less important task than clinical work (n = 10; 83%) Extended delays between facility visits / in-service trainings (n = 4; 33%) Perception that data that is provided is not being used/used efficiently (n = 2; 17%) |
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aSolomon Islands Syndromic Surveillance System; b As stated in [27]