Exploring Patient Heterogeneity in Service Quality Gaps and Satisfaction: Insights from Outpatient Care

Abstract

Patient heterogeneity shapes outpatient perceptions of healthcare service quality, yet this diversity is often underexamined. This research brief applies the SERVQUAL framework to assess expectation–perception gaps and patient satisfaction among 94 outpatients at a tertiary teaching hospital. Descriptive analysis showed tangibility as a relative strength, while reliability and empathy exhibited the largest observed gaps, indicating unmet expectations for dependable and compassionate care. Dichotomized satisfaction scores revealed highest satisfaction for tangibility (86%) and assurance (82%), with comparatively lower satisfaction for reliability and empathy (75%), aligning with observed service gaps. Variation in internal consistency across SERVQUAL dimensions further reflects variability in patient experiences rather than uniform service evaluation. Findings suggest that standardized service delivery alone may not ensure equitable satisfaction in high-volume outpatient settings. Targeted interventions, such as scheduling improvements, communication training, and patient-support roles, may enhance trust and perceived quality. Embedding patient experience metrics within quality dashboards is recommended to advance equitable outpatient care. Limitations include a modest sample size and descriptive design. Nonetheless, the study provides early, context-sensitive insights to inform patient-centered quality improvement in resource-constrained outpatient care.

Introduction

Patient experience is increasingly recognized as a core dimension of healthcare quality, reflecting how effectively health systems respond to patients’ expectations, emotions, and preferences. In outpatient settings—where encounters are brief but frequent—patients’ perceptions of service quality play a central role in shaping satisfaction, trust, and subsequent care-seeking behavior. ¹ Understanding these perceptions is therefore essential for improving both patient-centered outcomes and institutional performance.

Service quality is often assessed using frameworks such as SERVQUAL, Donabedian's model, and RATER, which conceptualize quality as the gap between expected and perceived care. Dimensions including reliability, responsiveness, assurance, empathy, and tangibility have consistently been linked to patient satisfaction. ² Evidence suggests that interpersonal factors, particularly empathy and communication, strongly influence satisfaction, while tangible and procedural elements such as infrastructure, cleanliness, and waiting times also matter. ³

Despite this extensive literature, much of the existing research implicitly treats patient populations as homogeneous, with limited attention to demographic and experiential diversity. Few studies examine variability in patient interpretations of service quality, which is often summarized using aggregate measures. This gap is particularly evident in high-volume, resource-constrained teaching hospitals, where patient experiences and expectations may vary substantially.

In response to this limitation, and within the context of growing attention to equity, inclusivity, and person-centered care in healthcare quality assessment, ⁴ the study adopts an exploratory, descriptive approach using the SERVQUAL framework, focusing on variation in patient perceptions and expectation–perception gaps across service dimensions. Three guiding questions informed the analysis: (1) which service quality dimensions exhibit the largest expectation–perception gaps; (2) how these gaps are descriptively associated with reported satisfaction; and (3) which functional aspects of care emerge as potential areas for focused improvement.

Methods

This descriptive, cross-sectional exploratory study was conducted in the general outpatient department (OPD) of a tertiary teaching hospital. Ethical approval was obtained from the Institutional Scientific Review Board and Institutional Ethics Committee, and written informed consent was obtained.

Sample size estimation was guided by Abbasi-Moghaddam et al, ¹ which reported that 57.5% of outpatients had a good perception of service quality. Using n = Z²p(1 − p)/E² (Z = 1.96; p = .575; E = 10%), a minimum sample of 94 outpatients was calculated. The 10% margin of error was selected as a pragmatic precision threshold for an exploratory, descriptive study aimed at generating initial estimates to inform hypothesis generation and local quality-improvement insights rather than population-level inference. In line with CI-based recommendations for pilot studies, ⁵ we selected a 10% margin of error as a pragmatic precision threshold. This approach balances feasibility with the need for interpretable confidence intervals, consistent with the exploratory aim of generating initial estimates rather than definitive population-level inference. ⁵

Participants were selected using simple random sampling in the general OPD waiting area between 9:30 AM and 12:00 PM, with four randomly selected 15-min slots per day. All of the 94 recruited patients completed the survey.

Service quality was assessed using a 22-item SERVQUAL instrument. Patient satisfaction was measured using an 18-item researcher-designed questionnaire mapped to SERVQUAL domains, content-validated by three experts, and translated into local languages to ensure relevance. Responses were originally recorded on a 5-point Likert scale (1 = strongly disagree to 5 = strongly agree); due to clustering at the upper end, items were dichotomized into a 2-point scale (1 = agree, 2 = strongly agree) for descriptive comparison with expectation–perception gaps.

Descriptive statistics and Cronbach's alpha were used to evaluate internal consistency. Service quality gaps were calculated as the difference between mean perception and expectation scores for each dimension. Patient satisfaction scores were averaged and expressed as percentages to assess correlations with the identified gaps.

Results

Among the 94 participants, women comprised 61% of respondents, and two-thirds (67%) were aged 21–40 years. A majority (65%) had learned about the hospital through family or friends, and 67% were repeat visitors.

Reliability analysis: Cronbach's alpha values indicated varied internal consistency across SERVQUAL dimensions (Table 1). Tangibility showed the highest reliability (α = 0.79), while reliability had the lowest (α = 0.56), indicating variation in internal consistency across items within the reliability dimension. Empathy showed high internal consistency for expectation scores (α = 0.79), with lower internal consistency observed for perception scores (α = 0.64).

Table 1.

Cronbach's Alpha by Dimension.

Dimension	Combined	Expectation	Perception
Tangibility	0.79	0.74	0.75
Reliability	0.56	0.45	0.50
Responsiveness	0.63	0.52	0.68
Assurance	0.60	0.49	0.67
Empathy	0.69	0.79	0.64

Service Quality Gaps: The analysis revealed both positive and negative gaps (Figure 1). Tangibility demonstrated a small positive gap (+0.16), reflecting higher perception scores for physical facilities. Reliability (−0.14) and empathy (−0.13) showed the largest negative gaps, indicating larger observed expectation–perception gaps for consistent and compassionate service. Responsiveness (−0.04) and assurance (−0.07) displayed minor shortfalls.

Figure 1.

Service dimension analysis: change in service perception, service gap, and patient satisfaction in corresponding service dimension.

On the dichotomized 2-point scale, patient satisfaction was highest for tangibility (86%) and assurance (82%). Reliability and empathy both scored 75%, indicating comparatively lower performance in dependability and personalized attention, while responsiveness achieved 76%, indicating moderate satisfaction.

These results collectively show that the larger observed gaps and lower satisfaction scores were noted in functional service dimensions, particularly reliability and empathy.

Discussion

This exploratory study highlights that functional dimensions of service—particularly reliability and empathy—are more closely aligned with patient satisfaction than tangible elements such as infrastructure or cleanliness. While tangibility demonstrated positive perception scores, negative expectation–perception gaps in reliability and empathy indicate that visible cues of quality alone are insufficient to meet patient expectations. This pattern is consistent with prior service quality research, which emphasizes the centrality of interpersonal and process-related factors in shaping patient experiences.^3,4

An important contribution of this study lies in documenting variability in internal consistency across SERVQUAL dimensions. Moderate Cronbach's alpha values, particularly for reliability and perception-based empathy scores, suggest heterogeneity in how patients experience and interpret service encounters. Rather than indicating measurement weakness, this variability likely reflects genuine diversity in patient expectations, communication needs, and care experiences within a high-volume outpatient setting. Similar patterns have been reported by Choi et al, who observed that empathy and interpersonal sensitivity vary across patient subgroups and cultural contexts. ⁶ These findings underscore that patient experience is not monolithic, even within a single institutional environment.

The observed gaps in reliability point to challenges related to service predictability, continuity, and coordination. In outpatient contexts characterized by time pressure and patient volume, lapses in appointment flow, information clarity, or follow-up processes may disproportionately influence satisfaction. Likewise, negative gaps in empathy suggest that patients place high value on respectful communication and individualized attention, which may be inconsistently delivered in routine care. These findings align with earlier work demonstrating that unmet relational expectations are a frequent source of dissatisfaction in ambulatory care settings. ⁷

From a practical standpoint, administrators can act directly on these findings. Addressing gaps in reliability requires reinforcing continuity mechanisms, including appointment scheduling, queue management, and timely response to patient feedback, to promote predictable and efficient service delivery in high-volume outpatient settings. Similarly, negative gaps in empathy highlight the need for structured approaches to strengthen relational care. Empathy training modules co-designed with patient advocates may enhance communication and trust, consistent with evidence suggesting that collaborative empathy training improves patient–provider relationships and perceived quality of care. ⁸ Establishing patient-assistance or navigation teams may further support patients in managing care processes, reduce uncertainty during outpatient visits, and improve responsiveness, particularly for repeat or vulnerable service users.

Patient satisfaction was reported using a dichotomized 2-point scale (agree vs strongly agree) due to clustering of responses at the higher end of the original 5-point Likert scale. This approach facilitated clearer descriptive interpretation of satisfaction across SERVQUAL domains while preserving the relative differences between functional dimensions. Although this limits granularity, it is appropriate for exploratory, descriptive analysis and does not affect the overall identification of gaps in reliability and empathy. Future studies could use larger samples or alternative scaling methods to allow more nuanced assessment.

From an operational perspective, the results offer actionable insights. Addressing reliability gaps may involve strengthening appointment scheduling systems, queue management, and mechanisms for responding to patient feedback to ensure more consistent service delivery. Interventions targeting empathy could include structured communication training, reflective practice sessions, and co-designed empathy modules developed with patient advocates. Recent evidence suggests that such collaborative approaches can enhance trust and perceived quality of care⁶. Additionally, patient-assistance or navigation teams may help mitigate uncertainty, improve reassurance, and enhance responsiveness during outpatient visits.

The interpretation of internal consistency metrics warrants caution. Cronbach's alpha assesses the degree to which items within a domain are correlated but does not capture contextual nuance or experiential diversity. ⁷ In this study, moderate alpha values likely reflect meaningful differences in how patients prioritize and interpret service quality attributes. Recognizing such diversity is essential, as quality-improvement strategies based solely on average scores risk overlooking the needs of less vocal or more vulnerable patient groups.

At the policy and governance level, these findings highlight the potential relevance of incorporating patient-experience indicators—such as trust, empathy, and dependability—into institutional performance monitoring frameworks alongside clinical and operational metrics. In exploratory contexts, such indicators may help sensitize decision-makers to relational dimensions of care that are often underrepresented in routine reporting systems ⁹

Overall, the findings suggest that quality improvement in outpatient care should move beyond standardization toward approaches that acknowledge patient diversity and contextual complexity. Translating perception data into targeted, co-designed interventions can enable healthcare organizations to progress from measuring satisfaction to cultivating trust and compassion in everyday care delivery.

Conclusion

This study demonstrates that although tangible aspects of outpatient services meet patient expectations, gaps in reliability and empathy remain salient drivers of dissatisfaction. Variation in patient perceptions indicates that standardized service delivery alone may not ensure equitable or meaningful care experiences. Strengthening reliability through improved coordination and enhancing empathy through co-designed training initiatives may improve trust and satisfaction. Embedding patient and caregiver feedback into routine improvement processes can help align services with lived experiences. Future research should prioritize participatory development of experience measures with patients and caregivers to ensure that service quality frameworks capture patient perspectives and support person-centered improvement.