Research Article | | Volume 14 Special Issue 2 (July to August, 2025) | Pages 133 - 135

The Current Communication Gaps and Needs Among Different Age Groups: Insights from a Cross-Sectional Study

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1
Department of Public Health Dentistry, Saveetha Dental College,Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai -77, Tamil Nadu, India
2
Department of Forensic Medicine and Toxicology, Lady Hardinge Medical College, New Delhi, India
3
Vinsar Dentistry and clinics, Alwar, Rajasthan, India
Under a Creative Commons license
Open Access
Received
Aug. 3, 2025
Revised
Sept. 27, 2025
Accepted
Aug. 31, 2025
Published
Sept. 5, 2025

Abstract

Communication is a cornerstone of quality healthcare, particularly in palliative care, where emotional, cultural, and informational needs differ across age groups. Despite its importance, systematic assessment of communication needs in different age groups remains underexplored in India. Objective: To identify communication gaps and needs among different age groups in palliative care settings and to suggest strategies for age-specific communication improvement. Methods: A descriptive cross-sectional study was conducted among 450 participants spanning adolescents, adults, and older adults in Chennai. Data were collected using structured questionnaires covering preferred communication channels, perceived barriers, and satisfaction with healthcare provider communication. Statistical analysis included chi-square tests and logistic regression. Results: Younger participants (15-24 years) preferred digital communication platforms, while older adults (≥60 years) valued face-to-face communication. Communication barriers included lack of empathy (42%), use of medical jargon (37%), and insufficient information (29%). Logistic regression showed older adults were significantly more likely to report unmet communication needs (OR = 2.14, 95% CI 1.25-3.67, p<0.01). Conclusion: Communication preferences and barriers differ significantly by age. Tailored strategies such as digital integration for youth and personalised counselling for older adults may improve patient satisfaction and outcomes in palliative care.

Keywords
Palliative Care, Age-Specific Communication, Communication Barriers, Patient-Provider Communication, Patient Satisfaction

INTRODUCTION

Effective communication is a fundamental component of patient-centred healthcare and is especially critical in palliative care [1,2]. The ability of healthcare professionals to address physical, psychological, and emotional needs hinges on clear, empathetic, and culturally sensitive communication [3,4]. However, differences in communication styles and preferences across age groups may create barriers that hinder effective care delivery [5].

 

Adolescents and young adults, growing up in a digital era, often prefer online platforms and quick, concise communication [6,7]. Adults typically favour direct discussions focusing on medical details and treatment planning [8]. Older adults, meanwhile, value traditional face-to-face interaction and reassurance due to concerns about health, vulnerability, and trust [9,10] (Figure 1). Bridging these generational gaps is essential for optimising care, particularly in life-limiting conditions where clear understanding impacts treatment adherence, psychological well-being, and quality of life [11].

 

Figure 1: Disease incidence among the study population

 

While global studies highlight age-related communication challenges [12-14], research within the Indian palliative care context remains limited. Given India's cultural diversity and growing ageing population, understanding communication preferences and unmet needs is crucial for policy development and capacity building [15,16]. This study addresses this gap by exploring age-specific communication needs and barriers in palliative care settings in Chennai.

METHODS

Study Design and Participants: A descriptive cross-sectional study was conducted in 2024 among 450 participants across three age categories: adolescents/young adults (15-24 years), adults (25-59 years), and older adults (≥60 years). Participants were recruited from community healthcare centres and palliative care units in Chennai.

 

Sampling and Data Collection: Stratified random sampling ensured representation across age groups. Data were collected using a structured questionnaire adapted from validated communication assessment tools [17,18]. The questionnaire included domains on preferred communication channels, barriers, satisfaction, and trust in healthcare providers.

 

Statistical Analysis: Data were analysed using SPSS v26.0. Descriptive statistics summarised communication preferences and barriers. Chi-square tests compared responses between age groups. Multivariate logistic regression identified predictors of unmet communication needs. A p-value <0.05 was considered statistically significant.

 

Ethical Considerations: Ethical clearance was obtained from the Institutional Review Board of Saveetha University (Ref: PHD/2024/07). Written informed consent was obtained from all participants.

RESULTS

Participant Characteristics

Of the 450 participants, 160 (35.6%) were adolescents/young adults, 190 (42.2%) were adults, and 100 (22.2%) were older adults. Males comprised 52% of the sample (Table 1).

 

Table 1: Demographic Characteristics of Participants

Age Group

n

%

Adolescents/Young Adults (15-24)

160

35.6

Adults (25-59)

190

42.2

Older Adults (≥60)

100

22.2

 

Communication Preferences

Adolescents and young adults preferred digital modes (social media, messaging apps) for health updates (68%), while adults reported preference for in-person consultations (55%). Older adults overwhelmingly (72%) valued face-to-face communication with doctors (Table 2).

 

Table 2: Communication Preferences by Age Group

Age Group

Digital (%)

In-person (%)

Face-to-face (%)

15-24

68

22

10

25-59

20

55

25

≥60

8

20

72

 

Barriers to Communication

Key barriers identified were lack of empathy from providers (42%), medical jargon (37%), and inadequate explanation of treatment (29%). Logistic regression revealed older adults had higher odds of reporting unmet needs compared to young adults (OR=2.14, 95% CI 1.25-3.67, p<0.01).

 

Satisfaction with Communication

Overall satisfaction was 61%. Satisfaction was highest among adults (68%), followed by youth (59%), and lowest among older adults (48%).

DISCUSSION

This study highlights significant differences in communication preferences and needs across age groups. Younger participants preferred digital engagement, consistent with prior research on technology-driven communication patterns among adolescents [19,20]. Adults valued balanced interactions combining detail and empathy [21], while older adults stressed traditional face-to-face communication, aligning with findings from Western and Asian settings [22,23].

 

Barriers such as lack of empathy and excessive medical jargon mirror findings from previous Indian and global studies [24-26]. Importantly, unmet communication needs were highest among older adults, indicating a potential risk for reduced trust, lower adherence, and poorer health outcomes [27,28]. These findings emphasise the importance of training healthcare providers in age-sensitive communication strategies.

 

Practical implications include integrating digital platforms for youth engagement, structured communication protocols for adults, and personalised counselling for older adults. Incorporating cultural sensitivity, simplified language, and empathetic interaction could enhance satisfaction and reduce unmet needs [29-32].

CONCLUSIONS

Communication needs in palliative care vary significantly across age groups. Tailored approaches, digital communication for youth, balanced detailed discussions for adults, and personalised face-to-face counselling for older adults may bridge gaps and improve satisfaction. Policymakers and practitioners should incorporate age-specific strategies to enhance the quality of palliative care communication in India

 

Limitations

The study relied on self-reported data, potentially subject to recall and desirability bias. Its cross-sectional design limits causal inference. Future longitudinal and qualitative studies could provide deeper insights [33-35].

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