USING INTER-ORGANIZATIONAL NETWORK ANALYSIS FOR QUALITY IMPROVEMENT IN LONG-TERM CARE

A.M. Beacom, J. Meng, S.A. Chamberlain, J.W. Dearing, W.B. Berta, J. Keefe, J.E. Squires, C.A. Estabrooks
2017 Innovation in aging  
significant predictors of interest are attitudes towards preventing abuse of patients in need of long-term care as the family physician's responsibility, lack of confidence in one's abilities to tackle such abuse (both conditions), the proportion of the respondent's patients who are in need of longterm care, and the respondent's knowledge about patients' previous victimization (neglect condition only). We conclude that there is high interest in education about these topics and call for research
more » ... d call for research that examines whether relatively positive attitudes towards restraint are due to a lack of knowledge about alternatives. The Advice Seeking Networks in Long Term Care Study used social network analysis to understand the informal advice networks of senior leaders in Canadian long term care (LTC), with the goal of using this knowledge to inform future efforts to more effectively disseminate quality improvement innovations. In this abstract we describe one main component of the study, a quantitative analysis of the structure and determinants of interpersonal advice networks in the sector. At each of the 958 LTC facilities spanning 11 of Canada's 13 provinces and territories, we asked one senior leader to complete a survey identifying individuals who were informal sources of advice about quality improvement. Using exponential random graph modeling to analyze data from 482 respondents (RR, 52%), we found that a single advice-seeking network appears to span the nation, with opinion leaders and boundary spanners who act as key sources of advice located in each province and territory. Geographic proximity exerted a strong effect on network structure, with only 3% of advice seeking relationships crossing provincial boundaries. The effect of facility owner-operator model was more modest and varied across regions. A majority of individuals (61%) identified as sources of advice in the network were professionals who were outside our original sample and not employed in LTC facilities, such as regional and provincial health administrators.
doi:10.1093/geroni/igx004.1612 fatcat:cez3wa7vkbbnhe3ssn4t45bc5y