INTRODUCTION
Previous research has documented parents’ satisfaction levels regarding the anticipation and assessment of pediatric care quality, which in turn influences regulatory or operational practice changes [1-13]. On average, pediatric patients visit outpatient medical centers or primary care providers 31 times between birth and age 21 for basic pediatric development and growth assessments [14]. Because children’s intellectual and emotional development varies by age, their interactions with healthcare professionals can cause nervousness and possible trauma–especially if they undergo repeated hospital visits, treatment procedures, and hospitalizations. Such experiences can lead to fear, pain, and helplessness, making pediatric patients feel defenseless. Furthermore, this emotional sequence may delay diagnostic and treatment procedures, subsequently affecting both patient and parental satisfaction.
Healthcare professionals should find ways to address these emotional and psychological challenges to improve patient outcomes and to prevent future mental health issues [14-16]. According to research, healthcare-induced anxiety in children may lead to serious mental health problems later in life [17]. Meanwhile, hospital staff have considerable influence yet sometimes overlook patients’ points of view. Hospital management, responsible for enhancing quality, recognizes that patients’ and parents’ views on care quality are an essential component of providing excellent healthcare. Therefore, patients’ experiences in medical centers should be evaluated and integrated into all phases of the healthcare process, as only patients can accurately report their own views on care procedures and outcomes.
Patient feedback is a critical source of information for a patient-centered healthcare institution. Patients’ primary concern is receiving treatment and care that meet their needs; thus, healthcare providers seek to enhance service quality, especially under market competition and accountability pressures. Patient satisfaction is often used as a proxy for existing quality management and certification methods in healthcare industries [2,14]. It has also become a recognized indicator for measuring the delivery of quality care from the patient’s perspective. However, the methods or instruments used to measure patient satisfaction may not be fully applicable to certain populations—such as children who may have difficulty expressing their views.
It is important to distinguish overall patient satisfaction—which includes all aspects of care and facilities—from satisfaction with examinations performed by pediatricians, focusing on the care provided during clinical visits. Such a distinction helps identify specific areas in need of improvement. Although pediatricians are the primary providers, they usually examine children with a nurse present. Therefore, this study also provides insights into how the caring behavior of healthcare workers can be improved when delivering child health services. In pediatric outpatient clinics, nurses are critical for creating a supportive environment during medical consultations. While pediatricians conduct examinations, nurses contribute to care quality and patient interactions. This study aims to provide insights into how to improve nurses’ roles as intermediaries between doctors, children, and parents, as nurses help foster a calming atmosphere that reduces children’s anxiety and increases their comfort during visits and examinations.
From the hospital management perspective, patient satisfaction at the pediatric clinic–often represented by the mother–must be well managed. This satisfaction affects hospital performance, especially in private hospitals. The attitudes and intentions these parents exhibit can yield favorable outcomes for the hospital, including the willingness to recommend the hospital and intentions to revisit when needed, both of which are particularly crucial for private institutions. Hospitals influence patients’ future healthcare choices through the satisfaction they provide. In academic contexts, a favorable outcome for the hospital is often described as positive behavioral intention on the part of patients. Positive behavioral intentions among hospital staff can also enhance performance and improve patient outcomes. Studies have shown that mothers have specific expectations regarding nurses' attitudes toward both patients and themselves, such as tolerance for maternal stress and collaboration in caring for their child [18,19], all of which support hospital performance. In this study, behavioral intention serves as the dependent variable, with relevant independent variables explaining it.
Several tools exist for assessing parents’ satisfaction with care. These tools generally demonstrate good psychometric properties and are sensitive to various hospital-site variables. Collaboration among medical professionals, children, and parents is central to successful Family Centered Care (FCC). Assessing parental satisfaction helps identify critical areas for improving care standards [6]. Buchanan and Brock [20] in 1989, an ethics specialist focusing on pediatric issues, notes that adults play a role in providing children more opportunities to make healthcare decisions as they grow in their judgment, thereby improving their ability to act independently as adults. Successful interactions between healthcare providers and pediatric patients lay the groundwork for children to take greater responsibility for themselves. Dokken and Sydnor-Greenberg [21] in 2000 suggests that healthcare workers should communicate more frequently with children and actively seek their input. However, young patients are rarely asked about their own medical experiences. Most research on pediatric patients’ experiences relies on parents’ evaluations of their children’s care, with only a few studies examining children’s or adolescents’ own ratings [22].
Recent studies have explored various dimensions of patient satisfaction, including collaborative decision-making between parent, child, and clinician. The German ZAP (German for “Zufriedenheit in der Arztpraxis”) outpatient satisfaction questionnaire was introduced in 1999 as a standardized tool for measuring process-related patient satisfaction in outpatient settings. Child ZAP, specifically used in pediatric care, evolved into a psychometrically sound instrument for capturing patients’ perspectives on care processes. It includes two perspectives: the parent’s appraisal of the child-physician interaction (proxy report) and the parent’s assessment of their own interaction with the physician (self-report). Child ZAP has also been adapted for use in multiple languages (with Polish, Arabic, Croatian versions) and different clinical settings, such as ambulatory care, pediatric outpatient post–heart transplantation, and dental care clinics [2]. Having the mother assess the physician’s interaction with her child (aged 5 years and older) provides a valuable measure of overall care quality.
In Indonesia, no specific methods have been identified or employed to assess parental or child engagement in pediatric and adolescent healthcare settings. Medical professionals continue to rely on parents to act on behalf of their children and evaluate the quality of care. Further research is needed to determine how accurately parents capture and represent children’s and adolescents’ anxieties, needs, preferences, and satisfaction during healthcare encounters. Child ZAP was chosen from among various tools because it examines both how parents perceive the physician’s interaction with the child and how parents assess their own relationship with the pediatrician. This approach should also be recognized by nurses assisting the pediatrician, as their attention may help put pediatric patients at ease. Consequently, nurses must understand their active role during pediatric assessments.
The proposed framework in this study, developed using the Child ZAP instrument, consists of seven elements (child interaction, child-information, child-decision making, parents-information, parents-decision making, parents-organization facilities, professional attitude) and investigates their relationships with behavioral intention and overall parental satisfaction. This study examines how parental satisfaction with a child’s examination relates to overall parental satisfaction, behavioral intention, and potential moderating factors. First, we aim to determine whether parental satisfaction with the child’s examination, as measured by Child ZAP, positively influences overall parental satisfaction. Second, we explore whether parental satisfaction with the child’s examination affects behavioral intention, with possible implications for future healthcare decisions. Additionally, we seek to determine whether overall parental satisfaction mediates the relationship between parental satisfaction with the child’s examination and behavioral intention.
Furthermore, we investigate whether overall parental satisfaction mediates the relationship between parental satisfaction with the child’s examination and behavioral intention. We also examine whether the child’s age moderates the relationship between parental satisfaction with the child’s examination and overall parental satisfaction. Finally, we explore whether the mother’s age moderates the relationship between parental satisfaction with the child’s examination and behavioral intention.
This study makes two key contributions that could improve healthcare administration. First, because it is the first study to validate Child ZAP in an Indonesian context, the tool can be applied to other pediatric healthcare services in Indonesia. Second, integrating Child ZAP’s seven dimensions into a behavioral intention model demonstrates that effectively implementing Child ZAP domains can positively influence pediatric clinic performance.
METHODS
Ethical statements: This study was approved by the Ethics Committee of the Universitas Pelita Harapan (approval number: 012/M/EC-Oct/X/2023). Informed consent was obtained from all participants.
1. Study Design
This study was a cross-sectional descriptive study using structural equation modeling (SEM) with data from respondents in a pediatric clinic at a private hospital. It focuses on parental satisfaction with pediatric patient examinations. Empirical data from the survey results were used to test the proposed research model, which was developed based on previous research. The study was conducted in two stages: first, by validating the ZAP instrument for children, and second, testing the structural model with several hypotheses, where parental satisfaction with child examinations is the independent variable and behavioral intention is the dependent variable. Parents’ overall satisfaction, which may stem from other hospital services, acts as a mediator while being moderated by the child’s and the mother’s age. The conceptual framework of the research model, along with the eight hypotheses, is shown in Figure 1. This study followed the guidelines established by Strengthening the Reporting of Observational Studies in Epidemiology [23].
2. Population
The study population consisted of mothers of pediatric outpatients at two private hospitals in Indonesia. The target population was mothers with children aged 5–18 years. This study used a purposive sampling method based on several criteria. First, the respondent had to be the biological mother of a pediatric patient and be over 20 years old in 2023. Second, the respondent had to be fully conscious, cooperative, and willing to complete the questionnaire. Third, the respondent must have visited the hospital’s outpatient clinic at least once. Fourth, the respondent was a mother of children aged 5–18. Fifth, the children brought to the outpatient clinic had an acute condition and were not diagnosed with a catastrophic illness or psychiatric disorder.
The minimum sample size in this study was determined according to recommendations for multivariate research using the partial least square–structural equation modeling (PLS-SEM) approach and was calculated by power analysis. The minimal number of samples needed was confirmed using G*Power ver. 3.1.9.4 (Heinrich-Heine-Universität Düsseldorf), with a significance threshold of 0.05, an effect size of 0.15, and a power of 0.90. This calculation indicated a minimum sample size of 108. However, after distribution of the questionnaire, 139 respondents met the requirements, so all were included.
3. Measurements
This research design assessed the indicators of latent variables using a 6-point Likert scale. Questionnaire items for overall parent satisfaction and behavioral intention were adapted from previous studies, while items for parent satisfaction with the child’s examination were adopted from the ZAP-Child instrument. Question items in English were translated by professional linguists and verified by academics experienced in conducting surveys. Specifically for the adopted Child-ZAP instrument, face and content validity were performed by an expert panel comprising academicians, pediatricians, and survey experts.
4. Data Collection
Data were obtained directly from respondents via online self-administered questionnaires distributed from September to October 2023. Before distribution, potential respondents were given an explanation of the study. This research was conducted at pediatric clinics in two leading private hospitals in Surabaya, Indonesia’s second-largest city. These hospitals were chosen because they provide a variety of sub-specialist services, have a capacity of more than 300 beds, are accredited, and frequently receive referrals from smaller hospitals and healthcare facilities. They also attract higher volumes of patients due to their advanced facilities, state-of-the-art equipment, and a notable pool of qualified pediatricians.
5. Data Analysis
PLS-SEM analysis was conducted using SmartPLS 4 software (SmartPLS GmbH), which offers several advanced analysis features. The initial step in statistical testing involves assessing dimensions to identify the seven reflective dimensions of parental satisfaction regarding the child’s examination as a higher-order construct (HOC). A confirmatory factor analysis (CFA) should be performed on these lower-order constructs (LOCs). The CFA report will include factor loadings and correlations among the dimensions. If the correlation between dimensions exceeds 0.6, the LOCs are interrelated dimensions of the HOC. This process is crucial for validation. Data processing primarily produces two types of outputs: the outer model (or measurement model) and the inner model (or structural model). The outer model describes the relationship between indicators and their variables, confirming the reliability and validity of each indicator used. The inner model, analyzed via bootstrapping (a non-parametric technique), provides the standard deviation, significance, and coefficient values for each hypothesized path. It also evaluates the overall quality of the research model [24,25].
This study employed a multivariate analysis technique, specifically PLS-SEM, to test a complex framework model involving multiple latent variables (constructs) and HOCs. PLS-SEM is especially advantageous in quality-of-care research, as it enables a detailed examination of relationships within a model containing several variables. SmartPLS 4.0.9.6 was selected for its ability to conduct bootstrap analyses for significance testing in PLS-SEM and for generating latent variable scores, which are essential for evaluating the disjoint two-stage method. This two-stage method, considered superior to the conventional repeated-indicator method, assesses the HOC at a more abstract level while including multiple LOCs representing different characteristics of the HOC. The approach allows a direct and reliable evaluation of the validity and reliability of both the LOC and HOC, which can then be incorporated into a structural model [26-28].
RESULTS
1. Participant Demographics and Characteristics
In total, 139 respondents met the inclusion criteria, and their profiles are presented in Table 1. Nearly 59% of the mothers were in the 31–40 age group, and most held permanent jobs. Only 7.91% had a high school education, while almost 60% had bachelor’s degrees. The study included 65.47% of children aged 5–7, which aligns with the research objectives (Table 1).
The behavior of the respondents is detailed in Table 1, showing that 74.10% reported visiting the outpatient clinic once in the past 3 months. Concerning their most recent visit, 36.69% occurred within 1–3 months, while 37.51% took place more than 3 months before they completed the questionnaire. The respondent profile indicates that 58.27% were self-paying, and 21.58% used healthcare insurance to offset medical costs. Table 1 also highlights that the most common reason for bringing children to the clinic was acute conditions (e.g., cough, runny nose, fever).
2. Descriptive Statistics of Study Variables
In describing the independent variable—parent satisfaction with the child’s examination (Child-ZAP)—most respondents selected “agree” or “strongly agree.” Out of 36 indicators, only two yielded “somewhat agree” in the parents-organization facilities dimension, specifically POrgF1 (“I feel that the time from when I registered to sitting in the waiting room was under 30 minutes”) and POrgF8 (“In the doctor’s waiting room, there are entertainment and play facilities for children [for example books, building blocks, balls]”). “Strongly agree” was most common in the child-interaction and information dimensions. The highest mean value (5.432) appeared for the CHINT7 and ParInfo5 indicators (“I can clearly understand the information provided by the doctor”). These findings suggest that respondents gave a positive assessment of the child’s examination by the pediatrician.
The descriptive results for overall parent satisfaction showed that two indicators were rated “agree” and only one was rated “strongly agree.” The highest mean value was for ParSat3 (“I am satisfied with the outcome of my child’s treatment at this hospital’s pediatric clinic”). Only ParSat2 had a minimum value of 1, with a standard deviation of 0.932, indicating variation in responses about whether the outpatient clinic’s service met parental expectations. For behavioral intention, two of four indicators—BevInt1 and BevInt2—were rated “strongly agree,” while BevInt3 and BevInt4 were rated “agree.” The highest mean was for BevInt1 (“If my child is sick, I will come back to this hospital’s pediatric clinic for treatment”), followed by BevInt2 (“I will choose this hospital if my child needs healthcare services in the future”). These data show that most respondents indicated favorable intentions to continue supporting the hospital where their child received care.
3. Assessment of Dimensions
The first step in statistical testing was identifying the seven reflective dimensions of parent satisfaction with the child’s examination as an HOC. Consequently, CFA was conducted on the seven dimensions (LOCs). The CFA report included factor loadings and correlations among the dimensions. Correlations among the seven dimensions exceeded 0.6, indicating that these LOCs are indeed linked as dimensions of the HOC. This process is essential for validation. A correlation of 0.686 was observed between child interaction with doctors and child decision-making, which is relatively low compared to correlations explained by other indicators. This may indicate that a more comprehensive perspective is needed to fully understand doctor–child interactions, especially since most children in this outpatient setting have acute conditions. The study did not measure condition severity in detail, which may have contributed to this lower correlation value.
4. Reliability and Validity
1) First stage outer model analysis
In the first stage, only LOC indicators were included in the reliability assessment, and they met the specified requirements. As shown in Table 2, the 43 indicators in this research model had outer loading values greater than 0.7. Cronbach’s α values for all variables were above 0.7, and composite reliability values ranged between 0.7 and 0.95, suggesting no redundancy. For convergent validity, all average variance extracted (AVE) values were above 0.50, with the largest at 0.878 and the smallest at 0.626. Discriminant validity was confirmed, as all indicators in this model were well differentiated. Although one variable had an heterotrait-monotrait (HTMT) ratio above 0.9, it remained within the acceptable confidence interval range following the inference test. Therefore, the indicators in this research model accurately measured their respective constructs.
2) Second stage outer model analysis
In the second stage (outer model analysis), latent variable scores were used: the LOC scores served as indicators for the HOC. The dimension of parent satisfaction with the child’s examination was thus measured as an HOC. Reliability and validity tests were repeated; all indicators were retained because their outer loadings were above 0.708. Construct reliability in this second stage was verified through Cronbach’s α, composite reliability, and rho_a values, which all ranged between 0.7 and 0.95, confirming reliability.
The AVE values also met the required thresholds, indicating solid construct validity. Discriminant validity based on HTMT showed no concerns, fulfilling all measurement model requirements. The standardized root mean square residual of 0.061 was below 0.08, indicating no model misfit. Figure 2 depicts the first-stage outer (measurement) model, where each yellow box represents an outer loading value linked to a latent variable (blue circle). The seven ZAP dimensions demonstrated adequate reliability and validity, and each dimension (LOC) relates to other variables, including the dependent variable, via its coefficient. Professional Attitude had a notably higher coefficient than the other dimensions, offering insights into evaluating pediatric care at the hospital.
All questionnaire items in this study passed reliability and validity tests in Indonesian and, for international publication, have been rewritten in English, as presented in Table 2.
5. Structural Model
The main analysis in this study was the structural (inner) model. A bootstrapping approach was carried out at this stage, using a parametric pound test to assess significance. The first step was to check for multicollinearity issues. All variables’ inner variance inflation factor values were less than 5. Therefore, multicollinearity problems were absent in the research model for all variables in the second stage, thereby avoiding the risk of common method bias.
The output from bootstrapping provides an image of the inner model with coefficients and significance (p-value), as shown in Figure 3. The relationship between constructs and the latent variable score from LOC indicates that it is a HOC. This figure shows the coefficient values and p-values (in brackets). It also shows the role of mother’s age and child’s age as moderating variables that strengthen the relationship.
The R2 value for behavioral intention was .737, which can be classified as having moderate to strong explanatory power, while overall parents’ satisfaction (with an R2 of .732) as a mediating variable can be classified similarly. This shows that 73.7% of behavioral intention can be explained by the independent variables, while the remaining 26.3% can be explained by factors outside this research model. It can be concluded that this research model can serve as an additional reference in empirical studies related to satisfaction with the child's examination and overall parental satisfaction.
Predictive relevance was assessed through Q2_predict with the out-sample approach, revealing that both behavioral intention and overall parent satisfaction have large predictive relevance (0.617 and 0.714, respectively, both above 0.5). The newest approach in PLS-SEM to assess predictive capability is the cross-validated predictive ability test. The calculation indicates that the construct and overall average values are negative, confirming the loss difference compared to the indicator average and the linear model, with a p<.05. Therefore, it can be concluded that this research model already possesses predictive capability. In this second stage, the calculations reveal that both the construct and overall average values are negative (p<.05). Consequently, it can be inferred that this model demonstrates strong predictive validity and may be replicated in another study with a different population.
The final analysis was the hypothesis test, shown in Table 3. The results indicate that all six hypotheses had positive coefficient values and were significant (p<.05); thus, all are supported. These findings show that overall parent satisfaction and parent satisfaction with the child’s examination (HOC) had a positive relationship: if the mother’s perception of these variables increases, her intention to support the hospital also increases.
The strongest relationship was found between parents’ satisfaction with a child’s examination (HOC) and overall parent satisfaction (β=0.789). Overall satisfaction is thus largely formed by satisfaction with the child’s examination. Overall satisfaction can mediate the pathway by which parent satisfaction with the child’s examination relates to behavioral intentions. This means that once the mother is satisfied with the child’s examination, she will likely also show satisfaction with other service aspects beyond the children’s clinic.
Table 3 shows that mother’s age was a moderating factor strengthening the relationship between overall parent satisfaction and behavioral intention. Older mothers tended to have stronger behavioral intentions. The other moderating factor, the child’s age, strengthened the relationship between parent satisfaction with the child’s examination and overall parent satisfaction. Thus, for older children, the effect of the child’s examination on overall parent satisfaction is stronger.
DISCUSSION
This research aimed to test and evaluate six hypotheses in the model, all of which were supported. The results indicate that parental satisfaction with a child’s examination (as HOC) is positively and significantly related to overall parent satisfaction and behavioral intention. The parent’s satisfaction with the child’s examination is adapted from the Child ZAP or Kinder ZAP in German. This study reinvents the concept of child examination by Bitzer et al. [2] in 2012 and is the first to adopt the original ZAP in pediatric outpatient settings in Indonesia. The preliminary version of the Child ZAP included six scales (24 items) for parent assessment of parent-physician interaction (self-report), three scales (14 items) for parent assessment of child-physician interaction (proxy report), and three global items (overall physician satisfaction, trust in the physician, and quality of care). The findings of this study confirm that the Child ZAP is valid for measuring parental satisfaction with children’s examinations in the Indonesian context.
Over time, the doctor-patient interaction has evolved into a more equal collaboration, shifting from compliance to cooperation. This change can validate patients’ needs while empowering them to take responsibility for their health improvement journey. Meanwhile, doctors can better understand their patients on physical, psychological, and sociological levels. Children should be included in and benefit from this movement toward strengthening doctor-patient communication, as their societal roles and positions have changed. Amid these advancements, children also want to participate in decision-making.
Most studies have not sufficiently examined the perspectives of children and parents regarding satisfaction with patient care and service. Their focus has often positioned the parent, rather than the child, as the primary patient. This study addresses that gap by highlighting the importance of child interaction and child information.
This study was found to align with a Polish study conducted by Krzywdzińska et al. [28] in 2017, which involved 362 parents of children up to 18 years of age. The correlation between scales in the child models showed similar results in both the Polish research and the present study, specifically a low correlation value for child interaction with decision-making [29]. These findings underscore the importance of child interaction and child communication dimensions in the examination process. Previous evidence indicates that communication skills in pediatrics must effectively involve healthcare providers, children, and/or their caregivers. Pediatric patients require a distinct approach tailored to their developmental milestones at every step, making pediatric care more challenging than adult care.
The study highlights the vital role of nurses in pediatric care by facilitating interactions between pediatricians and children, alleviating fear, building rapport, and engaging children during examinations. Nurses ensure child-centered care by preparing the child, managing equipment, and supporting examinations through observations that complement pediatricians’ findings. They also reinforce follow-up care, address parental concerns, and enhance continuity of care, thereby fostering trust and improving long-term outcomes. In addition, nurses implement techniques aligned with child-centered principles to ensure children feel understood and comfortable. This approach aligns with the American Academy of Pediatrics’ stance that excellent communication is the cornerstone of care, addressing the needs of the patient and family while focusing on patient- and family-centered care [30]. In pediatric care, communication is uniquely challenging because it involves the interplay between parents, children, and doctors, requiring nurses to act as critical facilitators who bridge gaps and ensure effective collaboration. By emphasizing the multidimensional role of nurses in pediatric outpatient settings, this study underscores their significance in creating a supportive environment for children and families while validating the Child ZAP dimensions that capture these relational dynamics during medical examinations by pediatricians.
This study shows that there are three key components to effective physician-parent-child communication: (1) accuracy in the pediatrician’s delivery of health information, in both quantity and quality; (2) interpersonal awareness and sensitivity to emotional attitudes, reflecting the physician’s attention to and involvement in the emotions and concerns of caregivers and pediatric patients; and (3) partnership-building, demonstrated by the ways the doctor encourages parents/caregivers. According to this study, “information” showed the highest path coefficient toward overall satisfaction. This finding is consistent with a study conducted in Romania on children and their parents, which highlights the value of pediatricians’ soft communication skills. Although communication is perhaps the most prevalent technique in medicine, it is often overlooked in medical schools, where the focus is typically on healthcare procedures. Thus, communication abilities must be cultivated and practiced to improve doctors’ capacity to interact effectively with patients, especially younger ones [30].
Involvement in the examination differs from shared decision-making. Because children are still developing their autonomy and interpersonal skills, they are not equal decision-makers. However, children learn, practice, and develop these skills through clinical interactions, gradually leading to greater participation over time [31]. In this study, most children were between 5 and 7 years old, a stage when they are developing communication capabilities. Although the Child ZAP questionnaire includes categories that evaluate parental and child involvement in decision-making processes, it may lead to missing data, particularly for younger children. This study demonstrates that a child’s age increases the moderating effect of parent satisfaction on the child’s evaluation of overall parental contentment. This finding aligns with earlier research showing a positive correlation between ease of understanding and child age, reinforcing the recommendation to use this questionnaire scale primarily for children aged 5 or 6 and older.
While this research model demonstrates strong explanatory and predictive capabilities, it has certain limitations. Because the study was conducted in a private hospital, most parents had high incomes and education levels, enabling them to seek private care for mild symptoms. Therefore, the model needs testing in public pediatric clinics. In addition, respondents were not categorized by their children’s disease types. Some conditions require more complex examinations (e.g., use of a spatula or vaccinations), suggesting a need for further research based on specific disease types. Furthermore, 65% of participants were preschool children, whereas only 12% were 13 or older. Since preschoolers and adolescents may differ significantly in their perspectives and responses, grouping all children under 18 together could skew the results. Future studies should consider stratifying participants by age group to better capture these developmental differences and their impact on outcomes.
CONCLUSION
The findings of this study affirm that parental satisfaction in pediatric examination and treatment can predict behavioral intentions within a private hospital’s pediatric clinic. Parental satisfaction can be distinguished between satisfaction with the child’s examination by a pediatrician and overall satisfaction generated by other service factors. Satisfaction during child examinations needs to be measured dimensionally because it offers more precise insights into how doctors interact with children, considering their emotional state. Both types of satisfaction serve as valuable input for hospital management, supporting improvements that benefit from positive behavioral intentions. These findings are also useful for pediatricians and nurses, guiding them toward a more comprehensive understanding of child healthcare services. They highlight how pediatric nurses enhance communication and interaction during examinations by assisting pediatricians and acting as key intermediaries between children, parents, and the medical team. Nurses ensure children’s emotional and psychological needs are met during clinical interactions. Their efforts to create a positive, supportive environment directly affect parental satisfaction, underscoring their significance in achieving the favorable behavioral intentions identified in this study.
This research also demonstrates that ZAP, with its seven dimensions, is valid for comprehensively measuring satisfaction during pediatric examinations. The ZAP domain can serve as an independent variable in a structural satisfaction model to predict behavioral intention. Following empirical testing and validation, this study aligns with Patient-Centered Care (PCC) principles by advocating for stronger child engagement during examinations. Consequently, the Indonesian version of ZAP can be employed in future studies to assess interactions among doctors, pediatric patients, and parents in Indonesia, thereby improving the delivery of quality care.