A pragmatic methodology for the evaluation of digital care management in the context of multimorbidity

被引:1
作者
Lindemer, Emily [1 ]
Jouni, Mohammad [1 ]
Nikolaev, Nikolay [1 ]
Reidy, Pat [1 ]
Mattie, Heather [1 ,2 ]
Rogers, Jameson K. [3 ]
Giangreco, LouAnne [4 ]
Sherman, Michael [5 ]
Bartels, Matthew [6 ]
Panch, Trishan [1 ]
机构
[1] Wellframe Inc, Boston, MA USA
[2] Harvard TH Chan Sch Publ Hlth, Biostat, Boston, MA USA
[3] Google Cloud Healthcare, Mountain View, CA USA
[4] Cayuga Hlth Syst, Ithaca, NY USA
[5] Harvard Pilgrim Healthcare, Wellesley, MA USA
[6] Blue Cross Blue Shield South Carolina, Columbia, SC USA
关键词
Care management; multimorbidity; propensity matching; bootstrapping; intervention; randomized controlled trials; HEALTH-CARE; PROPENSITY SCORE; RANDOMIZED-TRIAL; CAUSAL INFERENCE; BIAS;
D O I
10.1080/13696998.2021.1890416
中图分类号
F [经济];
学科分类号
02 ;
摘要
Multimorbidity is a defining challenge for health systems and requires coordination of care delivery and care management. Care management is a clinical service designed to remotely engage patients between visits and after discharge in order to support self-management of chronic and emergent conditions, encourage increased use of scheduled care and address the use of unscheduled care. Care management can be provided using digital technology - digital care management. A robust methodology to assess digital care management, or any traditional or digital primary care intervention aimed at longitudinal management of multimorbidity, does not exist outside of randomized controlled trials (RCTs). RCTs are not always generalizable and are also not feasible for most healthcare organizations. We describe here a novel and pragmatic methodology for the evaluation of digital care management that is generalizable to any longitudinal intervention for multimorbidity irrespective of its mode of delivery. This methodology implements propensity matching with bootstrapping to address some of the major challenges in evaluation including identification of robust outcome measures, selection of an appropriate control population, small sample sizes with class imbalances, and limitations of RCTs. We apply this methodology to the evaluation of digital care management at a U.S. payor and demonstrate a 9% reduction in ER utilization, a 17% reduction in inpatient admissions, and a 29% increase in the utilization of preventive medicine services. From these utilization outcomes, we drive forward an estimated cost saving that is specific to a single payor's payment structure for the study time period of $641 per-member-per-month at 3 months. We compare these results to those derived from existing observational approaches, 1:1 and 1:n propensity matching, and discuss the circumstances in which our methodology has advantages over existing techniques. Whilst our methodology focuses on cost and utilization and is applied in the U.S. context, it is applicable to other outcomes such as Patient Reported Outcome Measures (PROMS) or clinical biometrics and can be used in other health system contexts where the challenge of multimorbidity is prevalent.
引用
收藏
页码:373 / 385
页数:13
相关论文
共 49 条
  • [1] Abadie A., 2010, MICROECONOMETRICS
  • [2] AN INTRODUCTION TO KERNEL AND NEAREST-NEIGHBOR NONPARAMETRIC REGRESSION
    ALTMAN, NS
    [J]. AMERICAN STATISTICIAN, 1992, 46 (03) : 175 - 185
  • [3] [Anonymous], 2013, EGEMS, DOI DOI 10.13063/2327-9214.1038
  • [4] [Anonymous], 2015, Cancer facts figures 2015, P1, DOI DOI 10.3322/CAAC.21254EACEDIDOA
  • [5] [Anonymous], 2020, What is digital health?
  • [6] Health systems, systems thinking and innovation
    Atun, Rifat
    [J]. HEALTH POLICY AND PLANNING, 2012, 27 : 4 - 8
  • [7] The tension between needing to improve care and knowing how to do it
    Auerbach, Andrew D.
    Landefeld, C. Seth
    Shojania, Kaveh G.
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2007, 357 (06) : 608 - 613
  • [8] Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies
    Austin, Peter C.
    [J]. PHARMACEUTICAL STATISTICS, 2011, 10 (02) : 150 - 161
  • [9] Epidemiology of multimorbidity and implications for health care, research, and medical education: a cross-sectional study
    Barnett, Karen
    Mercer, Stewart W.
    Norbury, Michael
    Watt, Graham
    Wyke, Sally
    Guthrie, Bruce
    [J]. LANCET, 2012, 380 (9836) : 37 - 43
  • [10] Cost Savings Associated with Usage and Blood Glucose Control for Members of the Livongo for Diabetes Program
    Bollyky, Jennifer
    Lu, Wei
    Schneider, Jennifer
    Whaley, Christopher
    [J]. DIABETES, 2018, 67