Abstract
The purpose of this study was to determine the antecedents and consequences of patient experience in the context of medical-aesthetic health services. A quantitative study was conducted and data was collected through online surveys. Moreover, data were provided in the field via the administration of questionnaires to patients of medical clinics. The data were analyzed according to structural equation modeling procedures. The results showed that both the relational (communication and involvement) and functional (environment, tangibles, processes, outcomes, competence, monetary cost) dimensions of care have a direct and positive impact on customer experience (CE). This study shows the prevalence of the functional dimension when compared to the relational one, which more strongly influences a patient’s CE. Moreover, CE positively impacts perceived quality, overall satisfaction, and loyalty behaviors.
Keywords
Introduction
The customer experience (CE) is a concept that has been gaining more attention in the last 3 decades, being described as a strategic process to achieve differentiation and sustainable competitive advantage.1–4 It is defined as a cluster of feelings, perceptions, and attitudes built up throughout the decision-making process and consumption chain, which involves an integrated series of interactions with people, objects, processes, and the environment, leading to cognitions, emotions, sensory, and behavioral responses. 4
In health services, the care for customers and the ability to personalize and adapt interactions according to each customer are key factors in providing a unique and memorable care experience and quality service.1,3–5 The term CE is used to refer to any process the patient, as a customer, may observe, which include subjective experiences (eg, controlled pain), objective experiences (eg, waiting time for appointments), and perceptions about the behavior of doctors, nurses, technicians, assistants, and other professionals (eg, whether the doctor provided all the necessary information). 6 Thus, CE refers to the results of the interaction between a provider and a patient during their encounter, consequently, a good CE means that the individual's perception of all points of interaction has met their expectations as a patient. 7
Moreover, CE is a complex multidimensional phenomenon 8 that can be perceived differently by different health system stakeholders. 9
Drawing from previous studies, CE determinants can be classified into relational or functional aspects of care 10 Relational aspects refer to the interpersonal aspects of care which are strongly associated with the customer-centricity of healthcare (Table 1). Improvements at this level will create rapport and trust between customers and healthcare providers. 11 The functional aspects are related to the basic expectations of how care is provided (Table 1).
Determinants and Consequences of Customer Experience (CE) in Healthcare.
The literature review suggests a positive association between CE and the effects that partially or totally result from that experience 8 (Table 1). Nevertheless, the literature review requires further studies on CE in the healthcare industry 36 and the adoption of patient’s perspective. 37
This investigation aims to bridge the gap in measuring CE in the aesthetic sector. This is relevant because the field of aesthetic medicine is a successful new trend in the healthcare industry among patients seeking to improve their appearance through fast and non-invasive procedures; it offers quicker recovery time but with a higher risk. 38
The relevance of this study lies in the analysis of the antecedents and consequences of CE in the aesthetic medicine sector in terms of a patient's self-image, self-esteem, and well-being, as reported in previous studies.
The research questions are: RQ1: Which dimensions have the most impact on CE from the patient's point of view? RQ2: Does CE impact on a patient’s perception of quality, satisfaction, and behaviors? A conceptual model was proposed based on the literature review to answer these questions (Figure 1).

Proposed conceptual model and research hypotheses.
Method
For data collection, an online survey was conducted. All constructs were measured from scales adapted from the literature review (Table 2). The CE conceptual latent variable was modeled as a composed factor according to the proposed dimensions (functional and relational) in accordance with the literature review. All scale items were assessed on 7-point Likert scales ranging from 1 strongly disagree to 7 fully agree. A pre-test of the survey was implemented and the necessary adjustments were made based on the relevance of the comments received.
Definition of Constructs and Respective Measurement Scales.
The survey was conducted with Aesthetic Medicine Clinics that had agreed to participate in the study and collaborate by sharing the survey with their patients. The survey was also shared on Facebook, Instagram, and LinkedIn, encouraging people to fill it out and then share it with friends and family, which is known as the snowball data collection technique. The data were collected between July 24 and August 15, 2020.
All participants were previously informed of the study before responding and only responded with consent (implicit in the questionnaire header). A quantitative methodological approach was carried out using the Partial Least Squares (PLS-SEM) using the SmartPLS 3 software. The main reason for choosing the PLS-SEM was the use of a compound model to shape the aggregate first-order (Communication, Customer Engagement, Environment, Competence, Tangibles, Results, Processes, Monetary Cost, Perceived Quality, Satisfaction, and Loyalty), second-order (Relational and Functional Dimensions of Care), and third-order (CE) constructs of the research model.
The PLS-SEM is a modeling technique for the validity of theoretical models51,52 and allows for a better exploration of underlying theoretical structures in highly complex models.53,54
In total, 616 individuals completed the survey. The characteristics of the sample revealed that most respondents were female (Nfem = 442, 71.8%). The majority is between the ages of 25 and 34 (N = 222, 36.2%) and 35 to 44 (N = 199, 32.4%). Most participants were either married or cohabiting (N = 302, 49.2%) and the remaining percent were single (N = 246, 40.1%). The majority of participants were Portuguese (97.6%). The sample had a high level of education with approximately 45% (N = 276) having a bachelor's degree and 25.9% (N = 159) having a master's degree. Regarding the main occupation, most of the sample (N = 425, 70.5%) were dependent laborers. In terms of net monthly income per household, the majority of the participants earned between 601€ and 1200€ (N = 163, 27.3%) and 1201€ and 1800€ (N = 152, 25.5%). In terms of the annual average spent on medical and beauty treatments, 46% (N = 275) of respondents reported having spent less than 100€, 26.9% (N = 161) between 101€ and 300€, 14% (N = 84) between 301€ and 600€, 7.9% (N = 47) between 601€ and 1000€, 3.5% (N = 21) between 1001€ and 2000€, and 1.7% (N = 10) more than 2001€.
Results
Measurement Model
Before analyzing the validity and reliability of the measurement model, an exploratory factor analysis was performed in order to ensure that the variables Perceived Quality, Satisfaction, and Loyalty are first-order reflective constructs. The Variable Relational Aspects of Care and Functional Aspects of Care are aggregated multidimensional constructs (first-order reflective, second-order formative), with the relational aspects having 2 dimensions (Communication and Customer Involvement) and the functional aspects having 6 dimensions (Environment, Tangibles, Competence, Results, Processes, and Monetary Cost). The major mediator variable (CE) is a third-order construct (reflective of the first and second order, and formative of the third order).
Cronbach's α was used to measure the internal consistency of the constructs. The results showed that Cronbach's α values for all constructs ranged between 0.838 and 0.978, which are considered excellent. Consistency is also verified through the rho values, where values were above 0.70 (0.885–0.981) for all factors. Compound Reliability is a good indicator of construct reliability when its value is ≥ 0.70, 51 with all constructs presenting values between 0.885 and 0.980.
Thus, in order to assess the first-order reflective constructs and reflective dimensions, this study performed an analysis of the measurement model for the total sample in which the reliability of each item, the reliability of the constructs, and the extracted variance were calculated.
Validity tests were subsequently performed—factorial, convergent, and discriminant. 51 Factorial validity occurs when the items reflect the factor that is intended to be measured and all items’ outer loadings must be ≥ 0.50. Thus, item P6 was eliminated for having a value lower than 0.50. All the remaining items were above 0.671.
Convergent validity refers to the degree to which 2 different variables that are, in theory, correlated are determined in fact to be correlated. This is achieved when the mean-variance extracted from the construct is higher than 0.5. 55 All constructs exceeded 0.5, thus confirming all measurements to have satisfactory convergent validity.
To determine discriminant validity, that is, to verify to what extent the reflective construct is truly distinct from the others, 56 the heterotrait-monotrait ratio was used, with a threshold value of 0.9. 57 For this purpose, 3 items of the loyalty variables (L2, L4, and L5) were eliminated, thus refining the model. Satisfactory discriminant validity was confirmed for all constructs.
After considering the functional and relational aspects of care as second-order formative constructs and the CE as a third-order formative construct—multidimensional aggregated constructs—their weights were analyzed. These findings show that communication (0.658) is the dimension with the highest weight in the composition of the Relational Aspects of the Care construct while Tangibles (0.288) is the dimension with the highest weight in the composition of the Functional Aspects of the Care construct. Monetary Cost was the dimension with the lowest weight (0.091).
The value of the maximum variance inflation factor for these constructs was below 5.3. 58 We concluded that the measurement model shows adequate convergent and discriminant validity for the study's research model.
Structural Model
The structural model defines the relationships between the latent variables, previously operationalized by the measurement model, 51 and the nature and intensity of each association. 59
In this study, a bootstrapping of 500 resamples was used with a bilateral Student's t distribution and 97.5% percentile confidence intervals 52 (Figure 2).

Structural model results.
R2 values indicate the variance explained by each variable, that is, for the endogenous constructs, Perceived Quality (R2 = 0.711), Satisfaction (R2 = 0.709), and Loyalty (R2 = 0.710) in the model.
All theoretical inter-construct relationships were significant (P < .01).
A positive relationship was found between the Relational Dimension of Care and the CE (β = .195, P < .01), between the Functional Dimension of Care and the CE (β = .824, P < .01), between the CE and Perceived Quality (β = .843, P < .01), and between the Perceived Quality impacts on Satisfaction (β = .842, P < .01). We also found Satisfaction to have a positive impact on Loyalty (β = .842, P < .01).
In addition to the fact that the Functional Dimension had a greater direct impact on the CE than the Relational Dimension of care, the functional subdimension (according to the weights obtained) had the greatest weight on Tangible aspects (0.288), followed by administrative processes (0.241). In turn, the subdimension with the lowest weight was the Monetary cost of the service (0.091).
Discussion
The results obtained from the PLS-SEM analysis support all the proposed relationships of the causal model, thereby endorsing all the research hypotheses due to the positive and significant coefficients.
A positive relationship was found between the Relational Dimension of Care and the CE (β = .195, P < .01), confirming Hypothesis 1. The way healthcare teams interact with customers, their sensitivity to the customer's personal experience, the amount of information made available to the customer, and their engagement are very important for a positive experience.25,60
Hypothesis 2 was confirmed, supporting the fact that the Functional Dimension of Care has a positive impact on the CE (β = .824, P < .01). In both health and general services, the physical environment and all tangible aspects positively influence the CE and, consequently, its overall satisfaction rate.40,43 The fundamental administrative procedures and processes of the service provided and the results of the service have a direct and positive impact on the experience. 40
A positive relationship is also evidenced between CE and Perceived Quality (β = .843, P < .01), thus supporting the third hypothesis. Although literature on the relationship between CE and quality is sparse, the results are in line with the arguments of those authors who consider it plausible that perceived quality be evaluated based on the experience provided, with positive experiences translating into more comprehensive relationships and perceived quality.61,62
Our results also confirmed Hypothesis 4, verifying the positive path impact that Perceived Quality has on Satisfaction (β = .842, P < .01). Other authors state that satisfaction is a broad feeling that is affected by the service; if the quality is perceived as positive then customer satisfaction will also be positive, however, if the quality of the experience is perceived as negative, then the tendency is for customers to be dissatisfied.6,63,64 We also found that Satisfaction had a positive impact on Loyalty (β = .842, P < .01), thus confirming Hypothesis 5.
According to several studies on different services,10–13,18–23 effective and empathetic communication from healthcare professionals had the strongest effect on positive CE scores and overall customer satisfaction, followed by the responsiveness/competence of the clinical team; however, the results of this study do not support this. This may be related to the particular subject under study which involves the customer's choice to use the service, and they may not be ill (which is often the case). Thus, the customer may take service qualities for granted such as communication, empathy, and customer-centered care (also due to the high level of competition), and their presence does not have a major impact on the CE. However, customers focus their assessment on tangible aspects (modern facilities and equipment, staff uniforms/presentation, etc). These are elements that customers do not take for granted and have a major impact on their assessment of the experience, confirming that the physical elements of the service are determinants of favorable experiences.
To further investigate the indirect effects of CE on consumer loyalty through the mediator’s Perceived Quality and Satisfaction, bootstrap analyses with bias and percentile correction were performed using 500 bootstrap samples to calculate 97.5% confidence intervals. The bootstrap results confirmed the existence of a positive and statistically significant mediating effect for Perceived Quality and Satisfaction between CE and Loyalty. In addition, CE has a large and significant indirect impact on consumer Satisfaction and Loyalty behaviors. The data analysis showed the functional dimension and the subdimension of tangible elements of service to present the highest indirect positive impact on customer loyalty. Moreover, the results indicate that the Monetary Cost of Service subdimension has the least direct positive impact on customer loyalty.
To summarize, the analysis of the descriptive statistics and the correlational structure of the variables showed the data to be suitable for use in the structural equation modeling technique. The indicators correlated with each other, suggesting the nature of the relationships. The AEE results indicated that the proposed model described the data in an excellent manner. The measurement model indicated that the observed variables are good indicators of the latent variables, having also evidenced the factorial, convergent, and discriminant construct validity, ensuring the reliability of the results. In addition, the structural model explained 71% of the variance in loyalty.
Limitations & Suggestions
The proposed model does not cover all possible variables that may influence the CE, so we suggest introducing other variables such as trust and safety for potential future lines of research, especially during the current period of the Covid-19 pandemic. What's more, the introduction of moderating variables would considerably enrich the study, for example, the type of organizational climate/culture and the personal characteristics of customers, such as personality traits. These relationships could possibly improve the explanatory capacity of the model by expanding the study.
One limitation in the development of this empirical study was the number of participants. Although the sample is representative of the population and the results of this study can be generalized, it could be more comprehensive if the data collection period had been longer.
Due to the number of variables that can influence the experience, many of which concern individual expectations that cannot be measured retrospectively, there are inherent limitations to any study that sets out to determine what drives customer feedback at an aggregated level.
Conclusion
This study provides a rich insight into CE in the Aesthetic Medicine sector, analyzing the antecedents and consequences of CE in this unique and rapidly growing healthcare sector. A new conceptual model is proposed regarding consumer behavior, focusing on the impact CE has on consumer loyalty toward the organization. This new conceptual model is regarded as a new tool for evaluating CE in health services from a consumer perspective, focusing on the ‘needs’ of the customers in Aesthetic Medicine Clinics. To the best of our knowledge, this is the first study to explore this explanatory model. The model emerged following some previous qualitative studies, thus giving this research a quantitative answer to the existing impacts on the different variables and dimensions analyzed.
The findings of this study, through the analysis of this model, further the current understanding of the impact of CE by providing empirical evidence that allowed us to answer the research question, showing that the relational (communication and engagement) and functional (environment, tangibles, processes, results, competence, and monetary cost) dimensions of care have a direct and positive impact on CE. The Functional dimension has the highest impact on CE, while the tangible aspects of the service subdimension have the greatest weight on this impact, and the monetary cost subdimension has the lowest impact. The results allowed us to validate that the CE has a direct and positive impact on perceived quality and this, in turn, positively influences overall customer satisfaction. Satisfaction has a positive impact on customer behavior in terms of loyalty. Thus, the research hypotheses raised in this paper are verified. The existence of a positive and statistically significant moderating effect for Perceived Quality and Satisfaction between CE and Loyalty was demonstrated. The CE has a large and significant indirect impact on consumer Satisfaction and Loyalty behavior. In terms of the care dimensions, the functional dimension and the tangible elements of the service subdimension have the highest indirect positive impact on customer loyalty, while the results indicate that Monetary Cost (from the service subdimension) has the least positive indirect impact on consumer loyalty.
The findings of this study are valuable for implementing quality improvement initiatives, identifying facilitators and barriers to CE from a customer's perspective, and identifying actionable opportunities to improve CE in treatments, thus achieving positive manifestations in terms of customer dimensions of measurement (perceived quality and satisfaction) and behavioral responses at the loyalty level. The model includes suggestions for improving both clinical practice and management, and provides a basis for future research on how CE influences different health outcomes and organizations.
Footnotes
Declaration of Conflicting Interests
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors received no financial support for the research, authorship, and/or publication of this article.
