Pharmacy-based screening to detect persons at elevated risk of type 2 diabetes: a cost-utility analysis

被引:5
作者
Jalkanen, Kari [1 ]
Aarnio, Emma [1 ]
Lavikainen, Piia [1 ]
Lindstrom, Jaana [2 ]
Peltonen, Markku [2 ]
Laatikainen, Tiina [3 ,4 ,5 ]
Martikainen, Janne [1 ]
机构
[1] Univ Eastern Finland, Sch Pharm, Fac Hlth Sci, POB 1627, Kuopio 70211, Finland
[2] Finnish Inst Hlth & Welf, Dept Publ Hlth Solut, POB 30, Helsinki 00271, Finland
[3] Univ Eastern Finland, Fac Med, Inst Publ Hlth & Clin Nutr, POB 16277, Kuopio 70211, Finland
[4] Finnish Inst Hlth & Welf, Chron Dis Epidemiol & Prevent Unit, Helsinki, Finland
[5] Joint Municipal Author North Karelia Hlth & Socia, Joensuu, Finland
基金
芬兰科学院;
关键词
Type; 2; diabetes; Pharmacy; Markov model; Cost effectiveness analysis; LIFE-STYLE INTERVENTIONS; FOLLOW-UP; PREVENTION; VALUES; IMPACT; CARE;
D O I
10.1186/s12913-021-06948-6
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Background Early identification of people at elevated risk of type 2 diabetes (T2D) is an important step in preventing or delaying its onset. Pharmacies can serve as a significant channel to reach these people. This study aimed to assess the potential health economic impact of screening and recruitment services in pharmacies in referring people to preventive interventions. Methods A decision analytic model was constructed to perform a cost-utility analysis of the expected national health economic consequences (in terms of costs and quality-adjusted life years, QALYs) of a hypothetical pharmacy-based service where people screened and recruited through pharmacies would participate in a digital lifestyle program. Cost-effectiveness was considered in terms of net monetary benefit (NMB). In addition, social return on investment (SROI) was calculated as the ratio of the intervention and recruitment costs and the net present value of expected savings. Payback time was the time taken to reach the break-even point in savings. In the base scenario, a 20-year time horizon was applied. Probabilistic and deterministic sensitivity analyses were applied to study robustness of the results. Results In the base scenario, the expected savings from the pharmacy-based screening and recruitment among the reached target cohort were 255.3 meuro (95% CI - 185.2 meuro to 717.2 meuro) in pharmacy visiting population meaning 1412euro (95% CI - 1024euro to 3967euro) expected savings per person. Additionally, 7032 QALYs (95% CI - 1344 to 16,143) were gained on the population level. The intervention had an NMB of 3358euro (95% CI - 1397euro to 8431euro) using a cost-effectiveness threshold of 50,000 euro/QALY. The initial costs were 122.2 meuro with an SROI of 2.09euro (95% CI - 1.52euro to 5.88euro). The expected payback time was 10 and 8 years for women and men, respectively. Results were most sensitive for changes in effectiveness of the intervention and selected discount rate. Conclusions T2D screening and recruitment to prevention programs conducted via pharmacies was a dominant option providing both cost savings and QALY gains. The highest savings can be potentially reached by targeting recruitment at men at elevated risk of T2D.
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页数:11
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共 57 条
  • [41] Digitally supported program for type 2 diabetes risk identification and risk reduction in real-world setting: protocol for the StopDia model and randomized controlled trial
    Pihlajamaki, Jussi
    Mannikko, Reija
    Tilles-Tirkkonen, Tanja
    Karhunen, Leila
    Kolehmainen, Marjukka
    Schwab, Ursula
    Lintu, Niina
    Paananen, Jussi
    Jarvenpaa, Riia
    Harjumaa, Marja
    Martikainen, Janne
    Kohl, Johanna
    Poutanen, Kaisa
    Ermes, Miikka
    Absetz, Pilvikki
    Lindstrom, Jaana
    Lakka, Timo A.
    [J]. BMC PUBLIC HEALTH, 2019, 19 (1)
  • [42] Rajaniemi S., 2007, PHARM PRICING REIMBU
  • [43] Reinikainen L, 2019, ANAL FINANICIAL STAT
  • [44] The impact of 29 chronic conditions on health-related quality of life:: A general population survey in finland using 15D and EQ-5D
    Saarni, Samuli I.
    Harkanen, Tommi
    Sintonen, Harri
    Suvisaari, Jaana
    Koskinen, Seppo
    Aromaa, Arpo
    Lonnqvist, Jouko
    [J]. QUALITY OF LIFE RESEARCH, 2006, 15 (08) : 1403 - 1414
  • [45] Engagement and outcomes in a digital Diabetes Prevention Program: 3-year update
    Sepah, S. Cameron
    Jiang, Luohua
    Ellis, Robert J.
    McDermott, Kelly
    Peters, Anne L.
    [J]. BMJ OPEN DIABETES RESEARCH & CARE, 2017, 5 (01)
  • [46] Effectiveness of different outreach strategies to identify individuals at high risk of diabetes in a heterogeneous population: a study in the Swedish municipality of Sodertalje
    Shahim, Bahira
    Hasselberg, Sofia
    Boldt-Christmas, Oscar
    Gyberg, Viveca
    Mellbin, Linda
    Ryden, Lars
    [J]. EUROPEAN JOURNAL OF PREVENTIVE CARDIOLOGY, 2018, 25 (18) : 1990 - 1999
  • [47] Health-related quality of life in diabetes: The associations of complications with EQ-5D scores
    Solli, Oddvar
    Stavem, Knut
    Kristiansen, I. S.
    [J]. HEALTH AND QUALITY OF LIFE OUTCOMES, 2010, 8
  • [48] Statistics Finland, 2021, OFF STAT FINL OSF DE
  • [49] Outcomes of a Digital Health Program With Human Coaching for Diabetes Risk Reduction in a Medicare Population
    Sweet, Cynthia M. Castro
    Chiguluri, Vinay
    Gumpina, Rajiv
    Abbott, Paul
    Madero, Erica N.
    Payne, Mike
    Happe, Laura
    Matanich, Roger
    Renda, Andrew
    Prewitt, Todd
    [J]. JOURNAL OF AGING AND HEALTH, 2018, 30 (05) : 692 - 710
  • [50] All-Cause and Cardiovascular Mortality in Middle-Aged People With Type 2 Diabetes Compared With People Without Diabetes in a Large UK Primary Care Database
    Taylor, Kathryn S.
    Heneghan, Carl J.
    Farmer, Andrew J.
    Fuller, Alice M.
    Adler, Amanda I.
    Aronson, Jeffrey K.
    Stevens, Richard J.
    [J]. DIABETES CARE, 2013, 36 (08) : 2366 - 2371