A multicriteria decision making approach applied to improving maintenance policies in healthcare organizations.
BACKGROUND
Healthcare organizations have far greater maintenance needs for their medical equipment than other organization, as many are used directly with patients. However, the literature on asset management in healthcare organizations is very limited. The aim of this research is to provide more rational application of maintenance policies, leading to an increase in quality of care.


METHODS
This article describes a multicriteria decision-making approach which integrates Markov chains with the multicriteria Measuring Attractiveness by a Categorical Based Evaluation Technique (MACBETH), to facilitate the best choice of combination of maintenance policies by using the judgements of a multi-disciplinary decision group. The proposed approach takes into account the level of acceptance that a given alternative would have among professionals. It also takes into account criteria related to cost, quality of care and impact of care cover.


RESULTS
This multicriteria approach is applied to four dialysis subsystems: patients infected with hepatitis C, infected with hepatitis B, acute and chronic; in all cases, the maintenance strategy obtained consists of applying corrective and preventive maintenance plus two reserve machines.


CONCLUSIONS
The added value in decision-making practices from this research comes from: (i) integrating the use of Markov chains to obtain the alternatives to be assessed by a multicriteria methodology; (ii) proposing the use of MACBETH to make rational decisions on asset management in healthcare organizations; (iii) applying the multicriteria approach to select a set or combination of maintenance policies in four dialysis subsystems of a health care organization. In the multicriteria decision making approach proposed, economic criteria have been used, related to the quality of care which is desired for patients (availability), and the acceptance that each alternative would have considering the maintenance and healthcare resources which exist in the organization, with the inclusion of a decision-making group. This approach is better suited to actual health care organization practice and depending on the subsystem analysed, improvements are introduced that are not included in normal maintenance policies; in this way, not only have different maintenance policies been suggested, but also alternatives that, in each case and according to viability, provide a more complete decision tool for the maintenance manager.
Business Administration Department, University of Castilla-La Mancha, Avda. Camilo José Cela s/n, 13071, Ciudad Real, Spain. carmen.carnero@uclm.es.|Centre for Management Studies (CEG-IST), University of Lisbon, Instituto Superior Tecnico, Lisbon, Portugal. carmen.carnero@uclm.es.
María Carmen
MC
Carnero
Business Administration Department, University of Castilla-La Mancha, Avda. Camilo José Cela s/n, 13071, Ciudad Real, Spain.|SESCAM, University General Hospital of Ciudad Real, C/Obispo Rafael Torija s/n, 13005, Ciudad Real, Spain.
Andrés
A
Gómez
D003661:Decision Support Techniques; D003695:Delivery of Health Care / Q000458:organization & administration*; D006302:Health Services Research / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D011787:Quality of Health Care / Q000458:organization & administration*
Decision-making techniques; Dialysis subsystems; Healthcare organizations; MACBETH; Maintenance policies; Markov chains; Multicriteria analysis