The functionality comparison of the health care systems by the analytical hierarchy process method.
Hospitals are the weakest segment of the Slovak health care system. Their basic problems are evident in outdated material-technical base, demotivation of physicians, lack of care for the chronically and severely ill patients, regulated and non-competing system of health insurance companies, dysfunctional system of trainings for physician and health professionals. Health care providers (HCP) assess the current health care system as completely unstable. The longterm negative phenomena of the most Slovak hospitals is their loss making management, which affects the condition of the buildings, equipment, reward system, as well as the working conditions, the logistics system of medicines, medical materials, etc. There is a long term absence of the investment resources, which were in the past covered by the capital subsidies from the State budget. Hospitals suffer from the rapid lack of investment capital into the buildings, technologies and specialized equipment. This problem is closely related to the insufficient development of innovation and development of highly specialized health care. One of the possible savings of health insurance companies' funds is introducing day surgery option, respectively day surgery, which would be beneficial also for patients. It is also supported by the government's program of the Ministry of Health of the Slovak Republic (MH SR) under the reduction of beds in hospitals and declared highly effective treatment consisting of cured patients for the shortest possible time, without unnecessary pain and stress, but of the highest quality, without unnecessary hospital infections appearance and with as low as possible expenses. Day surgery has its proponents, but also opponents. Positive or negative opinion on its use in Slovakia depends on who is assessing it: health insurance companies are seeking for efficient use of available financial resources in hospitals, but those are permanently in debt . Health insurance companies contribute with significantly reduced payments for services of day surgery against the payments for completed hospitalization. The reason is poorly constructed and economically de-motivating system that significantly lags behind the European average. Health systems need to be assessed comprehensively, since the adoption of measures only in one area may substantially affect the other areas and cause many adverse effects, possibly with the worse implications than before the change itself . To search for alternatives in the process of increasing the efficiency of the health care system in Slovakia it is necessary to launch a broad debate about the whole system ,  and its functionality, to set up the goals, to provide all required and objective analyzes , to search for all possible variants of solutions , to reach an agreement and particularly to meet the agreed rules by all involved stakeholders in order to meet the targets , , , . There are very few studies based on comparison of traditional hospitalization with performances provided during day surgery . Those that have been realized show no significant differences in the results (e.g. , , , , . Their conclusions focus mainly on the safety dimension of day surgery performance, also on the subject in compliance with all recommended instructions and organizational principles of the day surgery program.
1. Day Surgery in Slovak Republic and Abroad
At the present, in Slovakia is day surgery more increasingly considered as a standard planned procedure, it can be advantageous not only for the patient and his family, but also for health care provider. "Day surgery" is defined as a surgery or procedure, when the patient is admitted or released from surgical care on the same day . Stay in the hospital during the night up to 23 hours is termed as "prolonged recovery" . A term "short stay" is used for surgery, where required hospital stay takes more than 23 hours, but no longer than 72 hours . Despite of IAAS efforts to standardize international terminology to facilitate comparisons of surgical data between the countries, there are still the differences. There is no standardized terminology of day surgery procedures, as well as the places of their realization, places and length of recovery after procedures and so on. Development of high quality day surgery care services in European countries is also a priority for their governments in health care field. A recent survey conducted in 19 countries pointed to the significant differences in the percentage of realized procedures of day surgery . Their range varies from less than 10% (e.g., Slovakia and Poland), to the around 80% (such as USA, Canada) , , . These differences are evident between the countries but also within the countries, between the hospitals in the concrete country, in its departments, as well as between the specialists in the equal hospital. As the most determining factor of stated differences could be indicated the existence of different rules and incentives in different countries, different financial payments for day surgery, doctors resistance (including anesthesiologists) to the changes in the implementation of new procedures and the like (e.g. , ). IAAS (International Association for ambulatory surgery) recommends also a subsequent benchmarking for day surgery quality assessment based on selected types of indicators, such as cancellation of planned procedures, unplanned admission to the hospital, re-admission to the surgical procedure (ambulatory or hospital), patient satisfaction with the surgery performance and the like.
1.1 Critical Aspects of Day Surgery in Slovak Republic
Previous researches of day surgery use in Slovakia ,  declare the fact that although day surgery is a highly effective instrument for providing health care, it is applied in unstable conditions of Slovak healthcare system. It is a suitable subject for polemics of various representatives of the health care system, as well as the professional and general public, who does not have adequate information. Information also absent on the web pages of individual health insurance companies. Day surgery is carried out under the professional guidance of the Ministry of Health of the Slovak Republic issued in 2006. At that time, about one third of the patients, especially in large public hospitals were hospitalized less than 72 hours.
Foreign studies in the countries, where day surgary system is functioning for more than 30 year (, , , ,  etc.) declare numerous researches in this field, supporting continuous improvement of day surgery system. We can see a problematic aspect of day surgery development in Slovakia in the lack of financial support from health insurance companies, which each year expand the list of day surgery performances, but without mapping the conditions of its appropriateness. In the fifteen years of day surgery existence in Slovakia, there were not done any researches declaring its condition, as well as potential development opportunities. There is not research mapping the riskiness of the selected types of procedures for different age groups of the patients, the cost increase of treatment for patient re-hospitalization after the procedure, the overall benefits of day surgery use compared to the standard hospitalization with the concrete type of diagnosis (cost savings of health insurance company), including the patient's early return to the working process. Problems can also be found in the primary data collection, where in reporting frequencies of day surgery performance based on the guidelines of MH SR we find many inconsistencies and incompatibilities. All critical aspects were the important determinants in our expert evaluation, which was the preparatory phase of the application of Analytic Hierarchy Process (AHP) in the process of comparison of the two health care systems. Application of AHP is further elaborated in Chapter 2.
1.2 Day Surgery in the Process of Beds Reduction in Health Care System
In connection with the day surgery development is necessary to mention the process of the hospital beds reduction. Reducing the number of hospital beds previously used for inpatient care can be considered from a financial perspective as an important benefit of day surgery. Slovakia is among the OECD countries with the lowest efficiency of health care, while in the number of beds per 1,000 inhabitants is above the average of the OECD . Reduction of the hospital beds was repeatedly planned by previous governments in Slovakia, touching also the hospitals that were not intended to be cancelled. Although, the expected output of rationalization of hospitals in the long run in conjunction with other measures, which should increase the performance management of public resources in the health sector, strives to the increasment of the quality and accessibility of health care for citizens, it can also cause a transitory exacerbation of the access to the health care. As reported by the National Health Information Center (NHIC) statistics, since 2000 is reported a decline trend of the number of hospital beds in all segments (acute, psychiatric as well as beds for long-term patients). Between the years 2000-2007 there was a reduction of beds by 37.3% (in 2000 was their number 42,332 and in 2007 a total of 26,546 beds). Decrease in the number of beds was also reflected in the decline of the number of employed physicians by 13.2% (from 6,143 to 5,334), as well as the reduction of other medical personnel , . In 2011, the General Health Insurance Company reduced about 3,000 unnecessary beds and has not contracted about 150 hospital departments, which were often duplicated or ineffective. Despite of the referred rationalization actions, Slovakia remains in ranking among the OECD countries with the lowest efficiency of health care, while in the total number of hospital beds per 1,000 inhabitants is above the average of OECD countries (even in acute beds) . It is apparent from the above that the scope for further hospital rationalization exists, although the process of reduction of beds causes a critical controversy among the experts in the sense, that stated system of saving finances is liquidating for hospitals. After the reduction of beds was expected a lower supply of funds from health insurance companies, which would jeopardize the ability of hospitals to pay their liabilities. Finally, the hospital would get more into the debt, because even at the lower inflow of the finances, they will have to cure the patients.
2. Comparison of Health Care Systems in Hospitals
Day surgery in Slovakia and abroad benefits from the positive results of several studies and medical practice declaring the fact, that the best ongoing treatment and recovery of patients after surgery is at home environment. Modern medicine, as well as ongoing development of operational techniques and related methods of the post-operative care, enables to shorten hospital stay to a minimum and it prompts to return to the normal life . Current educational modalities limit the negative influence of interindividual variability of surgical skills, thus increasing the potential for uncomplicated postoperative course . However, the most standard, uncomplicated surgeries in Slovakia are accompanied by unnecessarily long hospital stay. When evaluating the day surgery efficiency it is necessary to bear in mind that the financial savings occur when the hospitalization surgeries substitute the execution of day surgery performances and bed are reduced. Day surgery efficiency depends on many factors: pricing strategies of health insurance companies, place of day surgery performance, the patient age, comorbidities , degree of technical failure of the surgeon, social aspects and so on ,  , , . The heterogeneity of these factors on the one hand makes the process of day surgery performances significantly difficult to compare with the system of inpatient care. But in the individual components of the functioning of both systems are clear unambiguous criteria that are necessary to ensure the functionality of the process of health care providing. To compare those two systems, we have choosen already mentioned AHP method.
2.1 AHP in the Process of
Comparing Health Care Systems
AHP is a structured technique designed to solve a complex decision. It is based on mathematical procedures and human psychology. Since its first publication in the 70s of the 20th century, it has undergone several improvements and it provides complex and coherent approach to the structuring of the problem, to quantify the elements related to the overall objectives and evaluates an alternative solutions. AHP can be used in various decision-making situations spheres (government, business, industry, health, education).
AHP method is based on the creation and analysis of hierarchical structure of the solving task. By the hierarchical structure of the term we understand to the structure, containing a number of levels, where each of them contains several elements. The arrangement of the different levels of hierarchical structure corresponds with the way of the arrangement from the general to the specific. The more general elements are in relation to that decision-making problem, the higher level of hierarchy they get. The typical simple task of multicriteria option analysis includes the following levels:
* first level--objective evaluation, which could be the arrangement of variants,
* second level--evaluation criteria,
* third level--assessed variants.
When quantifying relations in the hierarchy, it usually progresses from the top to the bottom. The method of quantitative pair comparison by Saaty is used; it is based on the importance of comparing all pairs of elements evaluation , , . The output of AHP is important for the evaluation of criteria, therefore it is very important to pay attention to the procedures which helps to determine weights of the criteria responsibly and exactly. For decision making are also important experiences, it helps to sort out evaluation criteria for monitoring so-called informative signs, which provide largest volume of real information for deciding. Decisions made on the base of the best decision-making method may not be correct; if the input data in preparation phase are not perfectly managed and sufficient quality information are missinf. In the first phase, before applying the method of evaluating, the evaluating entity has to define all criteria and sub-criteria under which the evaluation will take place. Selection of individual criteria and sub-criteria is carried out on the basis of current knowledge and experiences of each evaluating entity. If it is a very first evaluation of some entity, the criteria must be sorted out more or less according to its own intuition, respectively according to some evaluating subject template, or according to the tasks that is the subject of decision making.
2.1.1 The Structure of the AHP Method
Method of AHP is a flexible model for decision making, clarifying issues that have several possible solutions. AHP is carried out by an expert method and then by a mathematical method, which divides main problem into the smaller and more detailed elements. Decision making by the method of AHP can be divided into three different levels : 1) hierarchy, 2) priorities, 3) consistency.
Hierarchy--decomposition of the properties into homogeneous clusters and then further dividing into smaller units, we can gradually integrate a large amount of information into hierarchical structure, creating a more complete picture of the system. Hierarchy on Figure 1 represents a problem of multicriteria decision making.
Setting priorities--to determine the intensities of the impact effect of various components on the system as a whole, we need to transfer a certain types of measurement. AHP allows comparing and measuring the intangible qualitative factors (e.g. social, political, etc.). In absolute comparisons are compared the alternatives with the established standard, which was developed on the basis of past experiences. In relative comparisons are alternatives compared in pairs usually through the commonly used evaluation terms (e.g. worse, better, etc.). AHP uses for both types of comparisons, cardinal scales are stated in Table 1.
Information about the significance of the criteria obtained on the base of the paired comparison can be determined as the values [s.sub.ij], which indicates the ratio of the significance of the evaluation criteria [k.sub.i] to criterion [k.sub.j], where i,j = 1,2, ...,n. It is required that sij meets for all i, j = 1,2, ... n, where n is the number of evaluation criteria, under the following conditions :
[s.sub.ij] > 0, [s.sub.ij] = [s.sub.ji.sup.-1], [s.sub.ii] = 1 (1)
Variables [s.sub.ij], relative significance of criteria have to be arranged in a square matrix of relative significance S.
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Consistency - in determining the relations between the objects, the coherence have to be achieved, i.e. consistency of mutual relations. This coherence is achieved by homogeneity (relevancy) manifested in homogeneous clustering of the objects according to given criteria, as well as consistency of intensity of relations between the objects according to different criteria. The alternatives of decision are sorted out in order of evaluation .
As reported by Saaty and Joyce , when using AHP method for decision making, four axioms have to be met:
* Inverse axiom: if an alternative A is n-times preferred to B, then B alternative is 1/ntimes preferred to A. It is a rule of reciprocity expressed by the formula:
[S.sub.ij] = 1/ [S.sub.ji], (3)
* Homogeneous axiom: comparison using pairing is significant only if the elements are comparable.
* Dependent axiom: comparison at a lowest level (sub-criterion) depends on the element at a higher level (the higher criterion), the rule of transitivity.
* Consequential axiom: if any criterion in the hierarchy will be changed, new re-valuation for the new hierarchy is expected.
In practical application of method AHP, the elements of decision matrix, are very often not consistent. So there is needed to calculate inconsistency index, expressed by the formula :
IS = [[lambda].sub.max] - n/ n - 1 (4)
where [[lambda].sub.max] is the biggest eigenvalue of matrix S and n is its dimension. If [l.sub.s] = 0, than the matrix is consistent.
The higher the values of inconsistency index ([l.sub.s]) acquires, the more inconsistent are the pairwise comparisons in the matrix of paired comparisons. In case of higher inconsistency Saaty recommends, that expert should reconsider its assessment of criteria and modify the matrix of relative significances S, to increase its consistency . On the contrary, the closer to zero is the value [l.sub.s], the greater is the consistency of the pairwise comparisons in matrix. In practical application Saaty recom mends to accept the value of inconsistency index lower than 0.1, as it was applied in our calculations.
2.2 Practical Application of AHP Determination of Criteria and Sub-Criteria
The subjects of our analysis are healthcare systems, namely day surgery and inpatient (traditional) health care. Heterogeneity of those health care systems makes it significantly difficult to compare them in the hospitals. Determination of criteria and sub-criteria of both health care systems was carried out by the expert evaluation, 16 experts participated (3 were the members of the Slovak Association of Day Surgery, 4 health insurance companies representatives, 4 representative of the Association of Hospitals in Slovakia (AHP), 4 health care were providers with real experience with day surgery performance and 1 representative was from the university sphere). At the beginning of this process, experts have identified a set of criteria; there was no exact evaluation of individual elements between them. We obtained a list of the components of health care systems, which are not mutually valued between them, so in this time they had the same weight. Based on the expert evaluation, the following basic criteria were specified: strategic focus, system stability, measurability, causality, coherence with funding sources, system sustainability and feedback, and self-evaluation of the health care system (Table 2). These criteria were also the basic principles of health care (day surgery and in-patient care) and a platform for subsequent expert evaluation of the AHP. Adherence with those principles in the analyzed systems is conditional for achieving the expected benefits from them. These principles are based on the fundamental principles of the both, health care systems functioning, from their comparative aspects, as well as from the results of the own research activities , , The above stated principles represent the evaluation criteria, to which the group of experts from our research subsequently established a set of so-called sub-criteria (Table 2).
Listed criteria are relatively widely understood. For this reason, it is necessary that in the process of defining the criteria, the experts should break down those criteria into sub-criteria to the level where it is necessary. The level of the segmentation is unlimited. In this case, we have chosen to break down the criteria only to one lower level, to the sub-criteria. In practice it is possible that these sub-criteria will be subdivided to other sub-sub-criteria. For the second level of subcriteria were based on expert estimation of the expert group set the items shown in Table 3 From the table is also clear the competence of the various sub-criteria to the main criteria.
In the first round of the expert evaluation were defined criteria and sub-criteria. Subsequently, the experts were provided with the lists of criteria and sub-criteria in order to assess their importance. The experts could assign a degree of importance to criteria and sub-criteria from 1 (absolutely important) to the level 9 (totally unimportant). Experts were given a table of criteria and sub-criteria and then using the modal criterion, the importance of each criterion was evaluated. Results are stated in the following Table 4.
Consequently, using these links between those criteria and sub-criteria we determined the elements of matrix. Value matrix S is defined precisely on the basis of mutual comparison of the criterion importance, respectively associated sub-criteria. E.g. when criterion K1 is as important as criterion K2, the value of mutual evaluation of these criterions in matrix S is 1. Criterion K1 is one level upper than criterion K4. So in a row K1 and a column K4 is number 2. In a row K4 and a column K1 is reverse value of 2, so 0.5, as K4 is one level lower than K1. Analogically we can evaluate pairs of criterions. Thus, we can define the values as relative differences of importance. When creating a matrix, it is important to preserve the rule of transitivity. In our case, attribute K1 is one degree more important than attribute K4 ([s.sub.14] = 2) and attribute K4 which is one degree more important than K7 ([s.sub.47] = 2). Based on the transitivity rule it must apply, that an attribute K1 is 2 degrees more important than attribute K7 ([s.sub.17] = 3).
It can also be exactly written. Let k represents an evaluation of the importance of i-th criterion/ /sub-criteria. Mutual evaluation of the importance of the two criteria/sub-criteria then can be defined as [s.sub.ij], as criterion i is more important than criterion j which is stated by the formula:
[s.sub.ij] = [k.sub.j] - [k.sub.i] + 1 if [k.sub.i] < [k.sub.j], (5)
[s.sub.ij] = 1/([k.sub.i] - [k.sub.j] + 1) when [k.sub.i] > [k.sub.j]. (6)
Weights are stated as:
[W.sub.i] = [m.summation over (j=1)][S.sub.ij]/ [m.summation over (i=1)] [m.summation over (j=1)][S.sub.ij]
where m is an index of a superior main criterion.
Results are written in table 5 and table 6.
Since not all individual elements of matrices are consistent, we calculated the indexes of inconsistency. Calculation was carried out by using of the program tool MS Excel and acquired results are shown in Table 7.
Table 7 shows that pairwise comparisons of criteria and sub-criteria are sufficiently consistent, because all indexes of inconsistency are in absolute value smaller than 0.1. Our suggested criteria and sub-criteria rated by experts are thus suitable for evaluating by using AHP method.
2.3 Evaluation of Variants (Standardized and NonStandardized Evaluation)
In the second part of the implementation of the expert evaluation we conducted individual evaluation of both variants, namely day surgery system and hospitalization system of health care. Experts on such matters evaluated both variants separately for each sub-criterion. While using rating scales from 0 to 5, where 5 represents the best value (most appropriate option) and the worst value of 0 (worst possible option). Individual variants were evaluated by non-standardized and by standardized method. When using standardized method, the figures obtained from experts were divided into the intervals. Respecting the recommendation of paper , we divided the interval <0, 5> into 8 equal intervals, which are characterized in Table 8.
Concrete values, which were obtained from the experts and then transformed into the intervals, according to Table 8 are shown in Table 9.
The classifications from Table 9 were used for creating two-dimensional Saaty matrices for both systems and for each sub-criterion separately. We proceeded Table 10 and results were overwritten into the Table 11.
Final evaluation of the variant A is computed using the following relation:
[X.sub.A] = [m.summation over (i=1)] ([W.sub.i] x [n.summation over (j=1)] [W.sub.ij] x [W.sub.ijA]), (8)
the variant B using the relation:
[X.sub.B] = [m.summation over (i=1)] ([W.sub.i] x [n.summation over (j=1)] [W.sub.ij] x [W.sub.ijB]), (9)
where m is an index of a superior main criterion, n is an index of sub-criterion within a main criterion.
While wi are weights of criteria from Table 5, [w.sub.ij] are weights of sub-criteria from Table 6 and values [w.sub.ijA] resp. [w.sub.ijB] are weights of Saaty matrices from Table 11. Final values are shown in the Table 12.
In the prior evaluation we used a range, where the smallest value represented the worst alternative and the highest value represented the best alternative. Therefore, in the overall assessment we conclude that higher variant rating is, the better is given option to the compared variant. In both cases, alternative A was better than alternative B.
Based on the results from the application of AHP in comparison with functionality of health care systems we conclude higher efficiency of day surgery system. Day surgery is the area where we see a clear possibility of savings not only in the health care system, but also in national economic context. From an economic perspective, this area provides opportunities to reduce operating costs of hospitals and thus the required payments by the health insurance companies, but it also may have a positive impact on the area of health insurance, which would reflect in a more rapid re-engagement of the patient to the labor force. Mentioned analysis should be supported by the other complementary analyses, necessary for the development of day surgery in Slovakia. This is a call for an active participation of the Ministry of Health of the Slovak Republic, as well as the National Health Information Center, who are currently participating in our analyses of health care systems. The analysis can help to improve processes within the reporting system in Slovakia, as well as in decisionmaking processes in our healthcare system.
In the constantly proclaimed transformation of public health insurance system, identifying the gaps in the process of increasing efficiency and optimizing treatment and related economic processes in health facilities. The issue of day surgery is more in the center of attention from the reason of financing healthcare and it is a subject of constant negotiations at different levels of the health system in Slovakia. So far, the issue of deployment and use of day surgery in Slovakia, as one of the highly effective options to increase the financial savings in the health care system, has not been addressed comprehensively in Slovakia, but also in the V4 countries. Therefore it highlights the uniqueness of this issue, as well as the possibility of implementing knowledge to optimize medical processes and increases the efficiency of the health care system. If we want to implement the recommendations of reputable international institutions in Slovakia (e.g. OECD recommendation on reducing conventional hospital beds), it is necessary to support every State decision by the large-scale multi-dimensional analyses. Only such approach in the decisionmaking process will help to avoid reducing the quality and accessibility of health care, consistently protect the consumers of health services and ultimately increase the prestige of the Slovak Republic for the more rationally behaving external environment. For achievement of all above stated, it is necessary to have a quality national and international registries that would provide all necessary information for the analyses of effective deployment and use of day surgery, comparable with foreign countries. International institutions such as the OECD, Eurostat, WHO declare also the significant methodological problems in the reporting of surgical procedures in each country and they encourage the cooperation to eliminate them . Slovakia still records very low quotient of day surgery procedures of the total number of surgical procedures, while abroad is significant evidence of its progress. Our analysis confirmed the higher functionality of the day surgery system in comparison with traditional hospitalization health care. For a further complementary analysis of effectivity, not only focused on day surgery, it is necessary to access to the deeper and more structured data. It is required to increase an information discipline of health care providers, cooperation with national register and strengthen the legislative support (participation of Ministry of Health in SR). Without the analyzing of day surgery level of functionality, efficiency, specification of its determinants, detection of day surgery weaknesses and taking actions for their elimination, the future progress in setting up and using of day surgery is not possible.
This research paper is made possible through the support from VEGA Project No. 1/0929/14 ,,Multidimensional economic and financial evaluation of the implementation process and the use of one day health care and quantification of the financial impact on the health system in the Slovak Republic".
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prof. RNDr. Vincent Soltes, CSc.
Technical University of Kosice
Faculty of Economics
doc. Ing. Beata Gavurova, PhD. MBA
Technical University of Kosice
Faculty of Economics
Tab. 1: Basic scales for pair comparison Evaluation Comparison of Explanation degree elements x and y 1 x is as Both elements important as y contribute equally to the result 2 x is less The first important as y element is slightly more important than the other 3 x is slightly Experiences and important than y assuming slightly prefer the first element before the second 4 x is slightly Slightly more important stronger than y preference than the previous 5 x is strongly Strong more important preference of than y the first element before the second 6 x is much more Slightly strongly stronger important than y preference than the previous 7 x is very Very strong strongly preference of important than y the first element before the second 8 x is very, very Slightly strongly more stronger important than y preference than the previous one 9 x is extremely The facts that more important prefer the than y first element over the second one have the highest evidential level. Source:  Tab. 2: Set of health care systems functionality criteria based on expert evaluation Criterion Criterion title K1 Strategic objective of health care system K2 Stability of health care system K3 Measurability K4 Causality K5 Coherence with funding sources K6 Continuity, sustainability and feedback K7 Self-evaluation of health care Source: own Tab. 3: Set of health care systems functionality sub-criteria based of expert evaluation (part 1) Sub-criterion Sub-criterion title S1.1 Implementation of the consistent strategic analysis and assessment of the appropriateness of the health care system for current conditions in the Slovak healthcare S1.2 Consensus on a vision and/or mission and/or critical success factors S1.3 Regular analysis and assessment of the overall strategic performance of the hospital S1.4 Revising the existing strategic areas and the possibility of accepting other potential strategic areas S1.5 Support of the major decision-making organization managements (MZ SR, health insurance companies, The Healthcare Surveillance Authority, AHS) when using health care system and their participation on the relevant results of the health care system S2.1 Regular redefinition of the objectives and actions within the health care system S2.2 Defined objectives reflect the equilibrium view on the strategy for hospital S2.3 Defined strategic actions reflect the equilibrium view on the strategy of the hospital S2.4 Regular analysis and evaluation of the balance between existing strategic measures S3.1 To the strategic objective are assigned appropriately chosen strategic measure methods of the values measuring S3.2 To the strategic measures are assigned their target values and critical values S3.3 Specified conditions and terms of regular quantification of the measures S3.4 Regular analysis and evaluation of existing measures, target and critical values, measures and choice of other potential target and critical value of measures S4.1 Causal relationships are defined between the strategic perspectives S4.2 Causal relationships are defined between the strategic objectives S4.3 Causal relationships are defined between the measures S4.4 Causal relations are defined between the targeted and critical values of strategic measures S5.1 Defined strategy and subsequent planes are linked to the state budget of SR S5.2 Hospital sources are within the system of day surgery aligned with strategic actions, respectively strategic initiatives S5.3 Non-strategic investments, respectively non-strategic activities were selected and eliminated by introduction of new forms of healthcare S5.4 Results of analyzes affect the review of the strategy, i.e. strategic objectives and resources S5.5 Regularly are analyzed and evaluated links to the sources of hospitals to the strategic activities identified in the health care system S5.6 Based on the results of analysis and revisions of the strategic assumptions, if necessary, we revise existing links of budget and strategy of day surgery system S6.1 Project to establish health care system was planned in detail from the methodological, technical and organizational perspective S6.2 The introduction of the health care system had the full support and participation from the side of superior units and relevant organizations s S6.3 For day surgery functioning was chosen and implemented an appropriate information system S6.4 Extending health care system within the hospital was managed and controlled process S6.5 Leadership of organizations supports the use of the health care system and participates in the relevant results S6.6 Continuous operation of the health care system and regular reporting is ensured S7.1 For the introduction of the health care system was elaborated cost analysis and/or analysis of risk and benefits S7.2 Conditions and rules for the regular evaluation of the health care system in terms of benefits, risks, and cost-effectiveness were specified S7.3 The health care system is regularly analyzed and evaluated--its benefits, costs, gaps, risks and so on. S7.4 In case of revising conditions and rules of functionality and their use of health care system, an effort for continuous improvement is registered Source: own Tab. 4: Ranking of criteria and sub-criteria specified by expert evaluation Table of ranking criteria and sub-criteria in order of importance Criteria and Sub-criteria Sub-criteria Sub-criteria sub-criteria S1.X S2.X S3.X Criteria K1, K2, S1.1, S1.2, S2.1, S2.2, S3.1, S3.2, K3, K4, S1.3, S1.4, S2.3, S2.4 S3.3, S3.4 K5, K6, K7 S1.5 Table of ranking criteria and sub-criteria in order of importance Criteria and Sub-criteria Sub-criteria sub-criteria S4.X S5.X Criteria K1, K2, S4.1, S4.2, S5.1, S5.2, K3, K4, S4.3, S4.4 S5.3, S5.4, K5, K6, K7 S5.5, S5.6 Table of ranking criteria and sub-criteria in order of importance Criteria and Sub-criteria Sub-criteria sub-criteria S6.X S7.X Criteria K1, K2, S6.1, S6.2, S7.1, S7.2, K3, K4, S6.3, S6.4, S7.3, S7.4 K5, K6, K7 S6.5, S6.6 Degree of Assigned Assigned sub-criteria importance criteria 1. Absolutely important 2. Very strongly S1.1, K1, S1.2. S2.4. important K2, K3 3. Strongly K4, K5, K6 S2.2, S1.5 S2.3 important 4. Important K7 51.3, 51.4. S2.1 S3.4. 5. Weakly S3.1, S3.3. important 6. Not important S3.2. 7. Strongly unimportant 8. Very strongly unimportant 9. Absolutely unimportant Degree of Assigned sub-criteria importance 1. Absolutely important 2. Very strongly S4.1, S4.2, S5.1, S5.2, S6.3, S6.4, S7.1 important S4.4. S5.4, S5.5. S6.6. 3. Strongly S5.3, S4.3. S6.2, S5.6. S7.2, S6.5. S7.4. important 4. Important S6.1. S7.3. 5. Weakly important 6. Not important 7. Strongly unimportant 8. Very strongly unimportant 9. Absolutely unimportant Tab. 5: Matrix S for basic criteria K1 K2 K3 K4 K5 K6 K7 Weights K1 1 1 1 2 2 2 3 0.2034 K2 1 1 1 2 2 2 3 0.2034 K3 1 1 1 2 2 2 3 0.2034 K4 0.5 0.5 0.5 1 1 1 2 0.1102 K5 0.5 0.5 0.5 1 1 1 2 0.1102 K6 0.5 0.5 0.5 1 1 1 2 0.1102 K7 0.33 0.33 0.33 0.5 0.50 0.5 1 0.0593 Source: own Tab. 6: Matrices S for individual sub-criteria S1.X S1.1 S1.2 S1.3 S1.4 S1.5 Weights S1.1 1 1 3 3 2 0.3409 S1.2 1 1 2 2 1 0.2386 S1.3 0.33 0.33 1 1 0.5 0.108 S1.4 0.33 0.33 1 1 0.5 0.108 S1.5 0.5 0.5 2 2 1 0.2045 S2.X S2.1 S2.2 S2.3 S2.4 Weights S2.1 1 0.5 0.5 0.3 0.1205 S2.2 2 1 1 0.5 0.2328 S2.3 2 1 1 0.5 0.2328 S2.4 3 2 2 1 0.4139 S3.X S3.1 S3.2 S3.3 S3.4 Weights S3.1 1 2 1 0.5 0.2328 S3.2 0.5 1 0.5 0.33 0.1207 S3.3 1 2 1 0.5 0.2328 S3.4 2 3 2 1 0.4138 S4.X S4.1 S4.2 S4.3 S4.4 Weights S4.1 1 1 2 1 0.2857 S4.2 1 1 2 1 0.2857 S4.3 0.5 0.5 1 0.5 0.1429 S4.4 1 1 2 1 0.2857 S5.X S5.1 S5.2 S5.3 S5.4 S5.5 S5.6 Weights S5.1 1 1 2 1 1 2 0.2 S5.2 1 1 2 1 1 2 0.2 S5.3 0.5 0.5 1 0.5 0.5 1 0.1 S5.4 1 1 2 1 1 2 0.2 S5.5 1 1 2 1 1 2 0.2 S5.6 0.5 0.5 1 0.5 0.5 1 0.1 S6.X S6.1 S6.2 S6.3 S6.4 S6.5 S6.6 Weights S6.1 1 0.5 0.3 0.33 0.5 0.33 0.068 S6.2 2 1 0.5 0.5 1 0.5 0.125 S6.3 3 2 1 1 2 1 0.2273 S6.4 3 2 1 1 2 1 0.2273 S6.5 2 1 0.5 0.5 1 0.5 0.125 S6.6 3 2 1 1 2 1 0.2273 S7.X S7.1 S7.2 S7.3 S7.4 Weights S7.1 1 2 3 2 0.4138 S7.2 0.5 1 2 1 0.2328 S7.3 0.33 0.5 1 0.5 0.1207 S7.4 0.5 1 2 1 0.2328 Source: own Tab. 7: Inconsistency index of main criterions and sub-criterions [I.sub.K] [I.sub.s1] [I.sub.s2] [I.sub.s3] [I.sub.s4] 0.001731 -0.06141 -0.00626 0.00249 0 [I.sub.K] [I.sub.s5] [I.sub.s6] [I.sub.s7] 0.001731 0 -0.00166 0.00249 Source: own Tab. 8: Intervals of standardized evaluation of alternatives Points 1. 2. 3. 4. From 0 0.625 1.25 1.875 To 0.625 1.25 1.875 2.5 Points 5. 6. 7. 8. From 2.5 3.125 3.75 4.375 To 3.125 3.75 4.375 5 Source: own Tab. 9: The sub-criteria values and their classification into intervals [X.sub.ij] Interval S1.1 A 2.4 4.interval B 2.4 4.interval S1.2 A 2.5 4.interval B 2.3 4.interval S1.3 A 2.8 5.interval B 2.1 4.interval S1.4 A 2.5 4.interval B 2.7 5.interval S1.5 A 2.8 5.interval B 2.7 5.interval S2.1 A 2.9 5.interval B 2.9 5.interval S2.2 A 3.1 5.interval B 3 5.interval S2.3 A 3.2 6.interval B 3 5.interval S2.4 A 3.3 6.interval B 3.1 5.interval S3.1 A 3.1 5.interval B 3 5.interval S3.2 A 2.9 5.interval B 2.9 5.interval S3.3 A 2 4.interval B 2.3 4.interval S3.4 A 2.3 4.interval B 2.2 4.interval S4.1 A 3.8 7.interval B 3.6 6.interval S4.2 A 3.1 5.interval B 3 5.interval S4.3 A 3.2 6.interval B 3.1 5.interval S4.4 A 3.1 5.interval B 3.5 6.interval S5.1 A 2.8 5.interval B 2.2 4.interval S5.2 A 3.2 5.interval B 3 5.interval S5.3 A 3 5.interval B 2.9 5.interval S5.4 A 2.7 5.interval B 2.8 5.interval S5.5 A 2.5 4.interval B 2.3 4.interval S5.6 A 2.3 4.interval B 2.2 4.interval S6.1 A 2.5 4.interval B 2.7 5.interval S6.2 A 2.6 5.interval B 2.8 5.interval S6.3 A 2.8 5.interval B 2.7 5.interval A 2.7 5.interval B 2.9 5.interval A 3 5.interval 00.0 B 3.2 6.interval S6.6 A 2.8 5.interval B 2.4 4.interval S7.1 A 2.9 5.interval B 2.3 4.interval S7.2 A 3.1 5.interval B 3.4 6.interval S7.3 A 3.2 6.interval B 3.1 5.interval S7.4 A 2.7 5.interval B 3 5.interval Source: own Tab. 10: Process of the construction of Saaty matrices If the values [x.sub.A] and 1; 1 [x.sub.B] are equal If the values [x.sub.A] and 1/2; 2 [x.sub.B] are unequal, but in the same interval If the values [x.sub.A] and 1/3; 3 [x.sub.B] are in adjacent intervals If the values [x.sub.A] and 1/4; 4 [x.sub.B] are in interval, among which is 1 different interval If the values [x.sub.A] and 1/(n+3); n+3 [x.sub.B] in intervals, among which is n intervals (maximum 6 intervals) Source:  Tab. 11: Saaty matrices for both systems and sub-criteria S1.1 A B Symbol Weights A 1 1 [W.sub.11A] 0.5000 B 1 1 [W.sub.11B] 0.5000 S1.2 A B Symbol Weights A 1 2 [W.sub.12A] 0.6667 B 0.5 1 [W.sub.12B] 0.3333 S1.3 A B Symbol Weights A 1 3 [W.sub.13A] 0.7500 B 0.3333 1 [W.sub.13B] 0.2500 S1.4 A B Symbol Weights A 1 0.3333 [W.sub.14A] 0.2500 B 3 1 [W.sub.14B] 0.7500 S1.5 A B Symbol Weights A 1 2 [W.sub.15A] 0.6667 B 0.5 1 [W.sub.15B] 0.3333 S2.1 A B Symbol Weights A 1 1 [W.sub.21A] 0.5000 B 1 1 [W.sub.21B] 0.5000 S2.2 A B Symbol Weights A 1 2 [W.sub.22A] 0.6667 B 0.5 1 [W.sub.22B] 0.3333 S2.3 A B Symbol Weights A 1 3 [W.sub.23A] 0.7500 B 0.3333 1 [W.sub.23B] 0.2500 S2.4 A B Symbol Weights A 1 3 [W.sub.24A] 0.7500 B 0.3333 1 [W.sub.24B] 0.2500 S3.1 A B Symbol Weights A 1 2 [W.sub.31A] 0.6667 B 0.5 1 [W.sub.31B] 0.3333 S3.2 A B Symbol Weights A 1 1 [W.sub.32A] 0.5000 B 1 1 [W.sub.32B] 0.5000 S3.3 A B Symbol Weights A 1 0.5 [W.sub.33A] 0.3333 B 2 1 [W.sub.33B] 0.6667 S3.4 A B Symbol Weights A 1 2 [W.sub.34A] 0.6667 B 0.5 1 [W.sub.34B] 0.3333 S4.1 A B Symbol Weights A 1 3 [W.sub.41A] 0.7500 B 0.3333 1 [W.sub.41B] 0.2500 S4.2 A B Symbol Weights A 1 2 [W.sub.42A] 0.6667 B 0.5 1 [W.sub.42B] 0.3333 S4.3 A B Symbol Weights A 1 3 [W.sub.43A] 0.7500 B 0.3333 1 [W.sub.43B] 0.2500 S4.4 A B Symbol Weights A 1 0.3333 [W.sub.44A] 0.2500 B 3 1 [W.sub.44B] 0.7500 S5.1 A B Symbol Weights A 1 3 [W.sub.51A] 0.7500 B 0.3333 1 [W.sub.51B] 0.2500 S5.2 A B Symbol Weiahts A 1 2 [W.sub.52A] 0.6667 B 0.5 1 [W.sub.52B] 0.3333 S5.3 A B Symbol Weights A 1 2 [W.sub.53A] 0.6667 B 0.5 1 [W.sub.53B] 0.3333 S5.4 A B Symbol Weights A 1 0.5 [W.sub.54A] 0.3333 B 2 1 [W.sub.54B] 0.6667 S5.5 A B Symbol Weights A 1 2 [W.sub.55A] 0.6667 B 0.5 1 [W.sub.55B] 0.3333 S5.6 A B Symbol Weights A 1 2 [W.sub.56A] 0.6667 B 0.5 1 [W.sub.56B] 0.3333 S6.1 A B Symbol Weights A 1 0.3333 [W.sub.61A] 0.2500 B 3 1 [W.sub.61B] 0.7500 S6.2 A B Symbol Weights A 1 0.5 [W.sub.62A] 0.3333 B 2 1 [W.sub.62B] 0.6667 S6.3 A B Symbol Weights A 1 2 [W.sub.63A] 0.6667 B 0.5 1 [W.sub.63B] 0.3333 S6.4 A B Symbol Weights A 1 0.5 [W.sub.iiA] 0.3333 B 2 1 [W.sub.iiB] 0.6667 S6.5 A B Symbol Weights A 1 0.3333 [W.sub.65A] 0.2500 B 3 1 [W.sub.65B] 0.7500 S6.6 A B Symbol Weiahts A 1 3 [W.sub.66A] 0.7500 B 0.3333 1 [W.sub.66B] 0.2500 S7.1 A B Symbol Weights A 1 3 [W.sub.71A] 0.7500 B 0.3333 1 [W.sub.71B] 0.2500 S7.2 A B Symbol Weights A 1 0.33 [W.sub.72A] 0.2500 B 3 1 [W.sub.72B] 0.7500 S7.3 A B Symbol Weights A 1 3 [W.sub.73A] 0.7500 B 0.3333 1 [W.sub.73B] 0.2500 S7.4 A B Symbol Weights A 1 0.5 [W.sub.74A] 0.3333 B 2 1 [W.sub.74B] 0.6667 Source: own Tab. 12: Results of evaluation via standardized and non- standardized evaluation Evaluation Variant A Variant B Difference (day surgery) (traditional hospitalization health care) Non- 2.8158 2.8037 0.43% standardized Standardized 0.5927 0.4074 31.27% Source: own
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|Title Annotation:||Business Administration and Management|
|Author:||Soltes, Vincent; Gavurova, Beata|
|Publication:||E+M Ekonomie a Management|
|Date:||Jul 1, 2014|
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