CONSUMER’S SATISFACTION - EXPLANATORY MODELS

When the first studies related to consumer satisfaction began to appear in the sixties, nobody could imagine protagonism that it would reach with the course of the time. Nowadays not only private sector companies dedicate part from their resources to the study of the degree of satisfaction of their clients, but satisfaction studies are more and more increasing preoccupation in the state sector, therefore works related to the satisfaction of the patients, the contributors or with the tourist destiny can be found. Firstly, a revision of the different models that have been used to explain customer satisfaction level is presented, using the cognitive and the affective-cognitive models. In the first case, human being is looking as a rational being that can process information about the different attributes of the services to form his personal satisfaction. The most useful model within this category is the expectation disconfirmation model. These kind of models explain satisfaction as a function of the degree and direction of the discrepancy between expectation and perceptions. It has evolved all over time resulting in a lot of different approaches. We have also studied the equity model, in which consumer does a benefit-cost analysis not only its owns but from the rest of people who take part in the transaction. Finally, in the affective-cognitive models, human being is seeing like a complex being that is not solely an information processor but experiences feelings and emotions that also influence in their judgments of satisfaction. Secondly, it has been realized an empirical application in which we have used the main variables in the expectation disconfirmation model: perceptions, expectations and discrepancies to estimate some logit models. The tourists who visit Tenerife are classified as satisfied or unsatisfied. Then, we model the probability of each characteristic using tourist’s scores on some destination attributes. Two samples have been used. The first one was obtained at the time of arriving; the second one has been made when leaving the island. Since tourists are not necessary the same in both samples, a statistic inference process has been made to use all the information available. The best model is obtained when expectations and perceptions are used at the same time, so we obtain a 75% of right classification. To sum up, we have found that perceptions are the main subject for the tourist’s satisfaction, although we can’t forget the importance of expectations to complete the model.

MEASURING POVERTY IN AN ULTRAPERIPHERAL REGION - THE CASE OF THE CANARY ISLANDS

The Canary Islands (one of Spain's 17 autonomous communities) is considered in the EC Treaty "ultra-peripheral region" which means: i) differences in the development processes and integration that justify certain specific policies (six out of the seven regions involved are among the poorest in the EU). This is related with remoteness, insularity, small size, difficult topography and climate, and the dependence on a small number of products; ii) the remoteness from the mainland countries and climatic conditions (tropical or subtropical) and, iii) the role of EU frontier and the geographical structure characterized by size and distance. With data of the Survey of Social Conditions (2001) we study the income inequality of individuals in The Canary Islands. Individuals are divided into various subgroups along several dimensions, such as island of residence, age, employment status etc. The difference in inequality between and within the various subgroups is studied using absolute-relative poverty line. We estimate poverty using a subjective approach too, where the level of the poverty line is derived using the opinion of the individual, rich or poor, on poverty. The subjective poverty line used is the Leyden Poverty Line based on subjective questions regarding income and economic welfare.

CONSUMER'S SATISFACTION - EXPLANATORY MODELS

When the first studies related to consumer satisfaction began to appear in the sixties, nobody could imagine protagonism that it would reach with the course of the time. Nowadays not only private sector companies dedicate part from their resources to the study of the degree of satisfaction of their clients, but satisfaction studies are more and more increasing preoccupation in the state sector, therefore works related to the satisfaction of the patients, the contributors or with the tourist destiny can be found. Firstly, a revision of the different models that have been used to explain customer satisfaction level is presented, using the cognitive and the affective-cognitive models. In the first case, human being is looking as a rational being that can process information about the different attributes of the services to form his personal satisfaction. The most useful model within this category is the expectation disconfirmation model. These kind of models explain satisfaction as a function of the degree and direction of the discrepancy between expectation and perceptions. It has evolved all over time resulting in a lot of different approaches. We have also studied the equity model, in which consumer does a benefit-cost analysis not only its owns but from the rest of people who take part in the transaction. Finally, in the affective-cognitive models, human being is seeing like a complex being that is not solely an information processor but experiences feelings and emotions that also influence in their judgments of satisfaction. Secondly, it has been realized an empirical application in which we have used the main variables in the expectation disconfirmation model: perceptions, expectations and discrepancies to estimate some logit models. The tourists who visit Tenerife are classified as satisfied or unsatisfied. Then, we model the probability of each characteristic using tourist's scores on some destination attributes. Two samples have been used. The first one was obtained at the time of arriving; the second one has been made when leaving the island. Since tourists are not necessary the same in both samples, a statistic inference process has been made to use all the information available. The best model is obtained when expectations and perceptions are used at the same time, so we obtain a 75% of right classification. To sum up, we have found that perceptions are the main subject for the tourist's satisfaction, although we can't forget the importance of expectations to complete the model

MEASURING POVERTY IN AN ULTRAPERIPHERAL REGION - THE CASE OF THE CANARY ISLANDS

The Canary Islands (one of Spain's 17 autonomous communities) is considered in the EC Treaty "ultra-peripheral region" which means: i) differences in the development processes and integration that justify certain specific policies (six out of the seven regions involved are among the poorest in the EU). This is related with remoteness, insularity, small size, difficult topography and climate, and the dependence on a small number of products; ii) the remoteness from the mainland countries and climatic conditions (tropical or subtropical) and, iii) the role of EU frontier and the geographical structure characterized by size and distance. With data of the Survey of Social Conditions (2001) we study the income inequality of individuals in The Canary Islands. Individuals are divided into various subgroups along several dimensions, such as island of residence, age, employment status etc. The difference in inequality between and within the various subgroups is studied using absolute-relative poverty line. We estimate poverty using a subjective approach too, where the level of the poverty line is derived using the opinion of the individual, rich or poor, on poverty. The subjective poverty line used is the Leyden Poverty Line based on subjective questions regarding income and economic welfare

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings: Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4–40·7) to 50·3% (50·0–50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1–46·5) in 2017, compared with 28·7% (28·5–29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (>80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2–89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664–711) of the 1830 (1797–1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6–80·7) of countries from 2000 to 2017, and in 53·9% (50·6–59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpretation: Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation

Outpatient Parenteral Antibiotic Treatment for Infective Endocarditis: A Prospective Cohort Study From the GAMES Cohort

BACKGROUND: Outpatient parenteral antibiotic treatment (OPAT) has proven efficacious for treating infective endocarditis (IE). However, the 2001 Infectious Diseases Society of America (IDSA) criteria for OPAT in IE are very restrictive. We aimed to compare the outcomes of OPAT with those of hospital-based antibiotic treatment (HBAT). METHODS: Retrospective analysis of data from a multicenter, prospective cohort study of 2000 consecutive IE patients in 25 Spanish hospitals (2008-2012) was performed. RESULTS: A total of 429 patients (21.5%) received OPAT, and only 21.7% fulfilled IDSA criteria. Males accounted for 70.5%, median age was 68 years (interquartile range [IQR], 56-76), and 57% had native-valve IE. The most frequent causal microorganisms were viridans group streptococci (18.6%), Staphylococcus aureus (15.6%), and coagulase-negative staphylococci (14.5%). Median length of antibiotic treatment was 42 days (IQR, 32-54), and 44% of patients underwent cardiac surgery. One-year mortality was 8% (42% for HBAT; P < .001), 1.4% of patients relapsed, and 10.9% were readmitted during the first 3 months after discharge (no significant differences compared with HBAT). Charlson score (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.04-1.42; P = .01) and cardiac surgery (OR, 0.24; 95% CI, .09-.63; P = .04) were associated with 1-year mortality, whereas aortic valve involvement (OR, 0.47; 95% CI, .22-.98; P = .007) was the only predictor of 1-year readmission. Failing to fulfill IDSA criteria was not a risk factor for mortality or readmission. CONCLUSIONS: OPAT provided excellent results despite the use of broader criteria than those recommended by IDSA. OPAT criteria should therefore be expanded

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000–17

Abstract Background: Universal access to safe drinking water and sanitation facilities is an essential human right, recognised in the Sustainable Development Goals as crucial for preventing disease and improving human wellbeing. Comprehensive, high-resolution estimates are important to inform progress towards achieving this goal. We aimed to produce high-resolution geospatial estimates of access to drinking water and sanitation facilities. Methods: We used a Bayesian geostatistical model and data from 600 sources across more than 88 low-income and middle-income countries (LMICs) to estimate access to drinking water and sanitation facilities on continuous continent-wide surfaces from 2000 to 2017, and aggregated results to policy-relevant administrative units. We estimated mutually exclusive and collectively exhaustive subcategories of facilities for drinking water (piped water on or off premises, other improved facilities, unimproved, and surface water) and sanitation facilities (septic or sewer sanitation, other improved, unimproved, and open defecation) with use of ordinal regression. We also estimated the number of diarrhoeal deaths in children younger than 5 years attributed to unsafe facilities and estimated deaths that were averted by increased access to safe facilities in 2017, and analysed geographical inequality in access within LMICs. Findings: Across LMICs, access to both piped water and improved water overall increased between 2000 and 2017, with progress varying spatially. For piped water, the safest water facility type, access increased from 40·0% (95% uncertainty interval [UI] 39·4–40·7) to 50·3% (50·0–50·5), but was lowest in sub-Saharan Africa, where access to piped water was mostly concentrated in urban centres. Access to both sewer or septic sanitation and improved sanitation overall also increased across all LMICs during the study period. For sewer or septic sanitation, access was 46·3% (95% UI 46·1–46·5) in 2017, compared with 28·7% (28·5–29·0) in 2000. Although some units improved access to the safest drinking water or sanitation facilities since 2000, a large absolute number of people continued to not have access in several units with high access to such facilities (&gt;80%) in 2017. More than 253 000 people did not have access to sewer or septic sanitation facilities in the city of Harare, Zimbabwe, despite 88·6% (95% UI 87·2–89·7) access overall. Many units were able to transition from the least safe facilities in 2000 to safe facilities by 2017; for units in which populations primarily practised open defecation in 2000, 686 (95% UI 664–711) of the 1830 (1797–1863) units transitioned to the use of improved sanitation. Geographical disparities in access to improved water across units decreased in 76·1% (95% UI 71·6–80·7) of countries from 2000 to 2017, and in 53·9% (50·6–59·6) of countries for access to improved sanitation, but remained evident subnationally in most countries in 2017. Interpretation: Our estimates, combined with geospatial trends in diarrhoeal burden, identify where efforts to increase access to safe drinking water and sanitation facilities are most needed. By highlighting areas with successful approaches or in need of targeted interventions, our estimates can enable precision public health to effectively progress towards universal access to safe water and sanitation