TY - JOUR
T1 - What is the economic and social return on investment for telephone cancer information and support services in Australia? An evaluative social return on investment study protocol
AU - McCaffrey, Nikki
AU - White, Victoria
AU - Engel, Lidia
AU - Mihalopoulos, Cathrine
AU - Orellana, Liliana
AU - Livingston, Patricia M.
AU - Paul, Christine L.
AU - Aranda, Sanchia
AU - De Silva, Daswin
AU - Bucholc, Jessica
AU - Hutchinson, Alison M.
AU - Steiner, Anna
AU - Ratcliffe, Julie
AU - Lane, Katherine
AU - Spence, Danielle
AU - Harper, Todd
AU - Livingstone, Ann
AU - Fradgley, Elizabeth
AU - Hutchinson, Claire Louise
PY - 2024/6/25
Y1 - 2024/6/25
N2 - Introduction Over 50% of people affected by cancer report unmet support needs. To address unmet information and psychological needs, non-government organisations such as Cancer Councils (Australia) have developed state-based telephone cancer information and support services. Due to competing demands, evidence of the value of these services is needed to ensure that future investment makes the best use of scarce resources. This research aims to determine the costs and broader economic and social value of a telephone support service, to inform future funding and service provision. Methods and analysis A codesigned, evaluative social return on investment analysis (SROI) will be conducted to estimate and compare the costs and monetised benefits of Cancer Council Victoria's (CCV) telephone support line, 13 11 20, over 1-year and 3-year benefit periods. Nine studies will empirically estimate the parameters to inform the SROI and calculate the ratio (economic and social value to value invested): step 1 mapping outcomes (in-depth analysis of CCV's 13 11 20 recorded call data; focus groups and interviews); step 2 providing evidence of outcomes (comparative survey of people affected by cancer who do and do not call CCV's 13 11 20; general public survey); step 3 valuing the outcomes (financial proxies, value games); step 4 establishing the impact (Delphi); step 5 calculating the net benefit and step 6 service improvement (discrete choice experiment (DCE), € what if' analysis). Qualitative (focus groups, interviews) and quantitative studies (natural language processing, cross-sectional studies, Delphi) and economic techniques (willingness-to-pay, financial proxies, value games, DCE) will be applied. Ethics and dissemination Ethics approval for each of the studies will be sought independently as the project progresses. So far, ethics approval has been granted for the first two studies. As each study analysis is completed, results will be disseminated through presentation, conferences, publications and reports to the partner organisations.
AB - Introduction Over 50% of people affected by cancer report unmet support needs. To address unmet information and psychological needs, non-government organisations such as Cancer Councils (Australia) have developed state-based telephone cancer information and support services. Due to competing demands, evidence of the value of these services is needed to ensure that future investment makes the best use of scarce resources. This research aims to determine the costs and broader economic and social value of a telephone support service, to inform future funding and service provision. Methods and analysis A codesigned, evaluative social return on investment analysis (SROI) will be conducted to estimate and compare the costs and monetised benefits of Cancer Council Victoria's (CCV) telephone support line, 13 11 20, over 1-year and 3-year benefit periods. Nine studies will empirically estimate the parameters to inform the SROI and calculate the ratio (economic and social value to value invested): step 1 mapping outcomes (in-depth analysis of CCV's 13 11 20 recorded call data; focus groups and interviews); step 2 providing evidence of outcomes (comparative survey of people affected by cancer who do and do not call CCV's 13 11 20; general public survey); step 3 valuing the outcomes (financial proxies, value games); step 4 establishing the impact (Delphi); step 5 calculating the net benefit and step 6 service improvement (discrete choice experiment (DCE), € what if' analysis). Qualitative (focus groups, interviews) and quantitative studies (natural language processing, cross-sectional studies, Delphi) and economic techniques (willingness-to-pay, financial proxies, value games, DCE) will be applied. Ethics and dissemination Ethics approval for each of the studies will be sought independently as the project progresses. So far, ethics approval has been granted for the first two studies. As each study analysis is completed, results will be disseminated through presentation, conferences, publications and reports to the partner organisations.
KW - Health economics
KW - Natural Language Processing
KW - Oncology
KW - Qualitative research
UR - http://www.scopus.com/inward/record.url?scp=85197134168&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/NHMRC/2005191
U2 - 10.1136/bmjopen-2023-081425
DO - 10.1136/bmjopen-2023-081425
M3 - Article
C2 - 38925706
AN - SCOPUS:85197134168
SN - 2044-6055
VL - 14
JO - BMJ Open
JF - BMJ Open
IS - 6
M1 - e081425
ER -
