INTRODUCTION: Pancreatic cancer (PC) has a dismal prognosis, with identified disparities in survival outcomes based on demographic characteristics. These disparities may be ameliorated by equitable access to treatments and health services. This systematic review identifies patient and service-level characteristics associated with PC health service utilisation (HSU). METHODS: Medline, Embase, CINAHL, PsycINFO and Scopus were systematically searched between 1st January, 2010 and 17 May, 2021 for population-based, PC studies which conducted univariable and/or multivariable regression analyses to identify patient and/or service-level characteristics associated with use of a treatment or health service. Direction of effect sizes were reported in an aggregate manner. RESULTS: Sixty-two eligible studies were identified. Most (48/62) explored the predictors of surgery (n=25) and chemotherapy (n=23), and in populations predominantly based in the United States of America (n=50). Decreased HSU was observed among people belonging to older age groups, non-Caucasian ethnicities, lower socioeconomic status (SES) and lower education status. Non-metropolitan location of residence predicted decreased use of certain treatments, and was associated with reduced hospitalisations. People with comorbidities were less likely to use treatments and services, including specialist consultations and palliative care but were more likely to be hospitalised. A more recent year of diagnosis/year of death was generally associated with increased HSU. Academically affiliated and high-volume centres predicted increased treatment use and hospital readmissions. CONCLUSION: Findings of this review may assist identification of vulnerable patient groups experiencing disparities in accessing and using treatments and therapies. AJCR
INTRODUCTION: Pancreatic cancer (PC) has a dismal prognosis, with identified disparities in survival outcomes based on demographic characteristics. These disparities may be ameliorated by equitable access to treatments and health services. This systematic review identifies patient and service-level characteristics associated with PC health service utilisation (HSU). METHODS: Medline, Embase, CINAHL, PsycINFO and Scopus were systematically searched between 1st January, 2010 and 17 May, 2021 for population-based, PC studies which conducted univariable and/or multivariable regression analyses to identify patient and/or service-level characteristics associated with use of a treatment or health service. Direction of effect sizes were reported in an aggregate manner. RESULTS: Sixty-two eligible studies were identified. Most (48/62) explored the predictors of surgery (n=25) and chemotherapy (n=23), and in populations predominantly based in the United States of America (n=50). Decreased HSU was observed among people belonging to older age groups, non-Caucasian ethnicities, lower socioeconomic status (SES) and lower education status. Non-metropolitan location of residence predicted decreased use of certain treatments, and was associated with reduced hospitalisations. People with comorbidities were less likely to use treatments and services, including specialist consultations and palliative care but were more likely to be hospitalised. A more recent year of diagnosis/year of death was generally associated with increased HSU. Academically affiliated and high-volume centres predicted increased treatment use and hospital readmissions. CONCLUSION: Findings of this review may assist identification of vulnerable patient groups experiencing disparities in accessing and using treatments and therapies. AJCR
Authors: C Max Schmidt; Olivier Turrini; Purvi Parikh; Michael G House; Nicholas J Zyromski; Atilla Nakeeb; Thomas J Howard; Henry A Pitt; Keith D Lillemoe Journal: Arch Surg Date: 2010-07
Authors: Linda M Youngwirth; Daniel P Nussbaum; Samantha Thomas; Mohamed A Adam; Dan G Blazer; Sanziana A Roman; Julie A Sosa Journal: J Surg Oncol Date: 2017-04-13 Impact factor: 3.454
Authors: Omeed Moaven; Joshua S Richman; Sushanth Reddy; Thomas Wang; Martin J Heslin; Carlo M Contreras Journal: Am J Surg Date: 2018-12-10 Impact factor: 2.565
Authors: Jessica P Simons; Sing Chau Ng; Theodore P McDade; Zheng Zhou; Craig C Earle; Jennifer F Tseng Journal: Cancer Date: 2010-04-01 Impact factor: 6.860
Authors: Onur C Kutlu; Eduardo A Vega; Omid Salehi; Christopher Lathan; Sunhee Kim; Sandeep Krishnan; Christopher Stallwood; Olga Kozyreva; Claudius Conrad Journal: HPB (Oxford) Date: 2020-09-25 Impact factor: 3.647
Authors: Lydia G M van der Geest; Nadia Haj Mohammad; Marc G H Besselink; Valery E P P Lemmens; Johanneke E A Portielje; Hanneke W M van Laarhoven; J Hanneke W Wilmink Journal: Cancer Med Date: 2017-10-16 Impact factor: 4.452
Authors: Maikel J Bakens; Lydia G van der Geest; Magreet van Putten; Hanneke W van Laarhoven; Geert-Jan Creemers; Marc G Besselink; Valery E Lemmens; Ignace H de Hingh Journal: Cancer Med Date: 2016-09-27 Impact factor: 4.452
Authors: Alla Sikorskii; Chris Segrin; Tracy E Crane; Pavani Chalasani; Waqas Arslan; Jessica Rainbow; Mary Hadeed; Charles Given; Terry A Badger Journal: Support Care Cancer Date: 2022-05-24 Impact factor: 3.359