Improving home care: Knowledge creation through engagement and design

AuthorMikko Ketokivi,Johan Groop,Mahesh Gupta,Jan Holmström
Date01 November 2017
DOIhttp://doi.org/10.1016/j.jom.2017.11.001
Published date01 November 2017
Contents lists available at ScienceDirect
Journal of Operations Management
journal homepage: www.elsevier.com/locate/jom
Improving home care: Knowledge creation through engagement and design
Johan Groop
a
, Mikko Ketokivi
b
, Mahesh Gupta
c
, Jan Holmström
d,
a
Aalto University and Nordic Healthcare Group, Finland
b
IE Business School, IE University, Spain
c
University of Louisville, United States
d
Aalto University, Finland
ARTICLE INFO
Accepted by: Dr. V. Daniel R. Guide
Keywords:
Design science
Problem solving
Practical problems
Health care
Home care
Theory of Constraints
ABSTRACT
In this paper, we apply a design science approach to help a Northern European city improve the eciency of its
home care delivery system. Our proposed solution emerges as a synthesis of applying Goldratt's Theory of
Constraints and the principles of variable-demand inventory replenishment. The improved system exhibits both
more level resource utilization and higher productivity due to more ecient capacity utilization. In addition to
improving system eciency, we gain insights into how authentic operations management problems can be
addressed through design research. A crucial aspect of empirically-rooted practical problems is that they always
involve multiple stakeholders with only partially overlapping preferences. Consequently, one must not assume or
ascribe an a priori system objective, instead, it must arise from explicit empirical analysis of the relevant sta-
keholders. Another characteristic of authentic problems is that they are always embedded in an institutional
context that sets signicant boundary conditions to the feasibility of solutions. These boundary conditions are an
important reminder of the complexity of empirically-rooted managerial problems.
1. Introduction
If Mrs. Johnson has to move into an assisted-living facility because
she needs help with her daily insulin injections, everybody loses. As we
get older, living in our own homes as long as possible is not only a
matter of personal preference, it is also more cost eective for cities and
states to develop systems and infrastructure to promote assisted home
living. If successful, such promotion lowers the unnecessary inux of
senior citizens into assisted-living facilities and the health care system
more generally. With this general objective in mind, the city of Espoo,
the largest suburb of Helsinki, Finland, reached out to us for help in
designing and improving a city-wide home care system. The pressing
problem stemmed from baby boomers reaching the age where they
required assistance in increasingly larger numbers, yet, the resources
allocated to home care had not increased proportionately. The system
would need to be more ecient to ensure the requisite quality of care.
The key questions regarding the design of the home care system fall
squarely in the domain of operations management (OM) research (e.g.,
Eveborn et al., 2006; Eveborn et al., 2009): How should the daily travel
routes of nurses be planned? How should overall caregiver capacity
allocation be planned? These are the questions we were asked to ad-
dress. Our task was to help build, evaluate, and, if needed, redesign a
home care delivery system.
The extant literature on the topic is commendable as it has led to
many improvements of the home care system particularly in the
Scandinavian countries (Eveborn et al., 2009) and the Benelux countries
of Belgium, the Netherlands, and Luxembourg (Duque et al., 2015). Of
course, the problem is not limited to these countries, as scholars in the
United States have observed similar challenges in the organization and
coordination of home care (e.g., Osborn et al., 2014). We seek to
complement this research by focusing on the problem in the authentic
eld setting. This is important, because a common denominator in
much of the research literature on home care is that the problem and
the objective are taken as given:
When viewing the daily planning as a scheduling problem, the
objective is to create a schedule that allocates visits to stamem-
bers. The eciency of the plan is judged by the amount of travel
time it requires and how well it has succeeded in allocating all visits
to stamembers. The quality is judged by how well continuity is
kept with stamember visits to each client.(Eveborn et al., 2006:
964).
The premise embraced in this passage is echoed in much of the
literature on home care systems. The underpinning assumption is that
the nature of the problem and the objectives are a priori known (Begur
et al., 1997; Duque et al., 2015; Yuan et al., 2015). But how problems
https://doi.org/10.1016/j.jom.2017.11.001
Received 8 November 2015; Received in revised form 31 August 2017; Accepted 9 November 2017
Corresponding author.
E-mail addresses: johan.groop@nhg.(J. Groop), mikko.ketokivi@ie.edu (M. Ketokivi), mahesh.gupta@louisville.edu (M. Gupta), jan.holmstrom@aalto.(J. Holmström).
Journal of Operations Management 53–56 (2017) 9–22
Available online 21 November 2017
0272-6963/ © 2017 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).
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