Development and validation of a logic model for
comprehensive medication management services
Samuel R.A. e Sousa
a
, Sarah Joyce Shoemaker
b
, Mariana M.G. do Nascimento
a
, Marianne S.
Costa
a
and Djenane Ramalho de Oliveira
a
a
School of Pharmacy, Federal University of Minas Gerais (FAFAR/UFMG), Belo Horizonte, Minas Gerais, Brazil and
b
Abt Associates, Cambridge,
MA, USA
Keywords
comprehensive medication management;
Delphi method; logic model; medication
therapy management; pharmaceutical care
Correspondence
Samuel R.A. e Sousa, School of Pharmacy,
Federal University of Minas Gerais (FAFAR/
UFMG), Av. Ant^ onio Carlos, 6627, Campus
Pampulha, CEP 31270-901 - Belo Horizonte,
Minas Gerais, Brazil.
E-mail: samuel.ralmeida@gmail.com
Received January 10, 2017
Accepted July 4, 2017
doi: 10.1111/ijpp.12392
Abstract
Objectives To develop and validate a theoretical logic model for comprehen-
sive medication management (CMM) services.
Methods The components of a logic model were constructed after a literature
review and interviews with 4 CMM professionals. To validate the logic model,
a panel of 17 CMM experts participated in three online Delphi method rounds
to achieve consensus on the model. The consensus between the experts on each
component of the logic model was evaluated using the Content Validity Index
and Inter-rater Agreement in each of the rounds.
Key findings A logic model for CMM services containing 51 items was con-
structed and validated. Both the items of each component of the model and
the linkage between the main components were agreed upon among the
experts.
Conclusions A logic model for CMM services was developed and validated. It
is an innovative tool that, if used as a theoretical framework for the implemen-
tation of CMM, can ensure greater reproducibility of CMM services in different
scenarios of practice and levels of care.
Introduction
Adverse drug reactions represent approximately 4.6% of
European hospital admissions
[1]
and 0.5% of ambulatory
visits in the USA.
[2]
However, the impact of drug-related
morbidity and mortality is thought to be even higher as
there are other drug therapy problems (DTPs) that can
cause harm to the patient like the use of unnecessary or
ineffective medications, the use of high dosages and non-
adherence.
[3–7]
Comprehensive medication management (CMM) is a
service that uses the theoretical framework of pharmaceu-
tical care practice, which has the main goal of optimizing
patient’s pharmacotherapy and resolving DTPs.
[8,9]
This
service has shown effectiveness in reducing drug-related
morbidity and mortality.
[10–16]
In a CMM consultation, a
pharmacist performs a comprehensive assessment of all
the patient’s medications for identification and resolution
of DTPs, builds a care plan to resolve the identified prob-
lems, and follows up with the patient to assess the actual
outcomes of drug therapy.
[8,9]
The provision of CMM services involves a continuous
patient care process to promote optimal outcomes. This
care process, together with the philosophy of practice and
the practice management system, represents the three
structural components of CMM that make the service
reproducible in any healthcare setting.
[8,9]
Several authors have described the implementation of
CMM services.
[17–24]
However, to our knowledge, no
study has presented a theoretical structure that can serve
as a guide for planning and implementing CMM in dif-
ferent healthcare settings.
The theoretical structure of a service can be represented
by a logic model which is a graphical representation that
presents all the essential components of a service. The
logic model can improve the planning of the service and
reduce the adaptation time needed from initial implemen-
tation to sustained, proper operation.
[25]
There are three
different types of logic models: the conceptual approach
model, the outcome approach model and the activities
© 2017 Royal Pharmaceutical Society International Journal of Pharmacy Practice 2017, , pp. –
International Journal of
Pharmacy Practice
Research Paper
International Journal of Pharmacy Practice 2017, , pp. –