Using an electronic safety netting tool designed to improve safety with respect to cancer referral in primary care: A qualitative service evaluation using rapid appraisal methods

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Abstract

Background This evaluation assesses the impact of an electronic safety netting software (E-SN) package, C the Signs, in primary care services across five boroughs in North East London (NEL). Aim This study evaluates the use of E-SN software in primary care, examining its benefits and barriers, safety implications, and overall impact on individual and practice usage. Design and setting The study is based on semi-structured interviews with 21 clinical and non-clinical members of staff from all primary care services using the software in NEL. Method Semi-structured interviews were conducted to gather data on individual use of the software, safety implications and practice use of features such as the monitoring dashboard. Data were analysed using a rapid qualitative methodology. Results Two approaches to E-SN software adoption were reported: whole practice adoption and self-directed use. Practices benefitted from shared responsibility for safety netting and using software to track patients' progress in secondary care. Adoption was affected by information technology and administrative resources. Decision-support tools were used infrequently due to a lack of appreciation for their benefits. Selective adoption of different E-SN functions restricted its potential impact on early diagnosis. Conclusion The use of E-SN software in primary care services in NEL varied among participants. While some found it to be beneficial, others were sceptical of its impact on clinical decision-making. Nonetheless, the software was found to be effective in managing referral processes and tracking patients' progress in other points of care.

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Black, G. B., Machen, S., Parker-Deeks, S., Cronin, A., & Chung, D. (2023). Using an electronic safety netting tool designed to improve safety with respect to cancer referral in primary care: A qualitative service evaluation using rapid appraisal methods. BMJ Open Quality, 12(3). https://doi.org/10.1136/bmjoq-2023-002354

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