Construction and Application of Effective Communication Strategies for Older Adults: A Mixed-Methods Study from the Patient-Physician Interaction Perspective

Construction and Application of Effective Communication Strategies for Older Adults: A Mixed-Methods Study from the Patient-Physician Interaction Perspective

Best for: Geriatricians and general practitioners, outpatient and ward nursing staff, patient-physician communication and health communication researchers, hospital quality management and patient safety officers, nursing school faculty, and healthcare facility design and workflow improvement teams. Primary keywords: effective communication with older adults; patient-physician communication barriers; communication strategy framework; Delphi method; 3A communication method; treatment adherence

Short Answer

Communication barriers for older patients summarise into three themes: perceptual, emotional, and environmental. Combining qualitative and quantitative analysis, the highest-reported perceptual barrier was hearing loss at 87.5 percent, with slowed cognitive processing at 64.6 percent and information overload at 54.2 percent. Among emotional barriers, anxiety and mistrust reached 70.8 percent, generational difference 58.3 percent, and the need to feel valued 45.8 percent. Among environmental barriers, noise interference reached 75.0 percent, time pressure 60.4 percent, and lack of assistive devices 37.5 percent. After two Delphi rounds with 22 experts (expert response rate 94.1 percent, authority coefficient 0.87, coordination coefficient 0.76, P below 0.01), the study constructed a framework of four dimensions and 16 operational elements covering language adjustment, non-verbal communication, environment optimisation, and emotional support, and proposed the practical 3A communication method (Adjust, Affirm, Assist). Quasi-experimental results after 3 months showed that the intervention group's communication quality score rose from 62.4 to 81.6, an increase of 30.8 percent, versus 6.7 percent in controls (Cohen's d 1.76, P below 0.001); patient satisfaction rose 20.9 percent versus 5.2 percent (d 1.29); and treatment adherence rose 19.3 percent versus 4.4 percent (d 0.97). Subgroup analysis showed that the younger-old group benefited more from language adjustment, the older-old group was more sensitive to environment optimisation, and the low-education group gained significantly more from language simplification. A structural equation model found a total effect of environmental factors on communication quality of beta 0.47, of which 40.4 percent was mediated through perceptual barriers. The conclusion is that the strategy works through a dual pathway of reducing cognitive load and meeting emotional needs; communication competence should be incorporated into core geriatric competencies, and clinic environment standardisation and workflow redesign should be promoted.

1. Introduction: Communication Challenges and Research Gaps in an Ageing Society

Step 1: Establish the physiological and cognitive basis of communication barriers

With age, hearing, vision, working memory capacity, and information processing speed all decline, so older adults often cannot describe symptoms accurately and cannot immediately grasp the information clinicians provide; even after repeated instructions, key content may be forgotten. This broken communication chain means that mild symptoms may conceal serious disease: myocardial infarction in older adults often lacks typical anterior chest pain and presents only as chest tightness, dyspnoea, toothache, or abdominal pain, making missed and delayed diagnosis likely. Hearing loss is the most common perceptual barrier, and patients with late-onset deafness find it especially hard to catch speech in noisy clinical environments; reduced limb proprioception further impairs perception and description of their own symptoms. At the cognitive level, reduced working memory capacity and slower processing speed form the core bottleneck, and multi-step prescriptions or complex regimens rapidly overload capacity, causing failure of information encoding and storage. This cognitive ageing combines with low health literacy, leaving older patients unable to effectively understand written materials such as medication leaflets and informed consent forms.

Step 2: Identify the specificity of emotional needs and cultural expectations

According to socioemotional selectivity theory, the need for emotional support among older patients is markedly higher than among ordinary adult patients: as perceived time remaining shortens, goals shift toward emotion regulation and relationship maintenance rather than pure information acquisition. Older patients prominently need to feel noticed and respected, and loneliness and a sense of abandonment are particularly evident. When clinicians deliver information in a purely task-oriented mode without emotional resonance, patients' mistrust and anxiety further worsen communication difficulty; some patients, long troubled by illness, lose confidence in treatment and become anxious, unreasonable, or even refuse treatment. In addition, older patients often under-recognise the severity of disease and prognosis and hold excessively high expectations of treatment, so when the condition relapses, patients and families unprepared for medicine's limits may struggle to accept them, giving rise to disputes. Older patients also frequently have multiple chronic conditions, and coexisting disease not only makes symptoms atypical but also produces a silent pattern of severe disease with mild symptoms, requiring greater information integration and individualised flexibility in communication.

Step 3: Point out the limitations and gaps in existing strategy research

Current mainstream patient-physician communication models, such as the patient-centred clinical method and the SEGUE framework, were developed mainly for the general adult population and do not adequately incorporate the cognitive and emotional features specific to older adults, so their applicability under health literacy constraints, sensory impairment, and multimorbidity lacks systematic validation. Existing studies of communication intervention for older adults show significant limitations in design rigour and evidence level: most are small-sample, single-centre, cross-sectional designs without the causal inference capacity of randomised or quasi-experimental studies; intervention content is often experiential summary rather than systematic construction based on a theoretical framework; and long-term follow-up data are scarce, making it hard to assess sustained effects on adherence and other distal outcomes. Moreover, existing work concentrates on satisfaction or immediate recall of information, with insufficient attention to adherence and clinical outcomes, and rarely adopts mixed-methods design, so the disconnect between qualitative exploration and quantitative verification means strategy construction lacks deep understanding of older patients' lived experience.

2. Methods: Mixed-Methods Design and Strategy Construction Process

Step 1: Establish a three-stage explanatory sequential mixed-methods design

The study used an explanatory sequential mixed-methods design with three interlocking stages: stage one was qualitative exploration, using focus groups and in-depth interviews to identify communication barriers and their underlying mechanisms; stage two used the Delphi method to construct the communication strategy framework; stage three used a quasi-experimental design to evaluate the effect of the strategy on communication quality, patient satisfaction, and treatment adherence. The design follows mixed-methods integration principles, ensuring that qualitative findings provide the theoretical basis for the quantitative intervention while quantitative results verify the generalisability of qualitative hypotheses. The value of this structure is that real-world problems are discovered first, a plan validated by expert consensus is then formed, and quantifiable outcomes finally verify effectiveness, avoiding the circular reasoning of designing a strategy arbitrarily and then self-certifying it with satisfaction scores.

Step 2: Specify inclusion and exclusion criteria

Inclusion criteria followed international geriatric research consensus: age 60 or above; receiving care in the outpatient or inpatient department of a tertiary hospital; basic verbal communication ability; and informed consent. To cover common comorbidity groups, three subgroups were specifically included: hearing loss defined as mean bilateral pure-tone threshold of 25 dB HL or above, mild cognitive impairment with a Montreal Cognitive Assessment (MoCA) score of 18 to 25, and multimorbidity with two or more chronic diseases, thereby avoiding selection bias toward healthy older adults. Exclusion criteria were severe cognitive impairment (MoCA below 18 or Clinical Dementia Rating of 2 or above), severe mental illness, acute critical illness, complete aphasia or severe hearing loss not compensable with hearing aids, and previous participation in a similar communication intervention study. Excluding severe cognitive impairment rests on the ethical requirement for informed consent, since such patients cannot independently understand the research and make autonomous decisions.

Step 3: Configure instruments and sample size

Four categories of instrument were used. The semi-structured interview guide covered perceptual barriers, emotional barriers, environmental barriers, and strategy expectations, reviewed by geriatric, linguistics, and nursing experts and refined through pilot testing. Communication quality was assessed with the Chinese version of the Doctor-Patient Communication Assessment Scale (DPCAS), comprising four dimensions of information transfer, emotional support, patient participation, and communication efficiency across 20 items rated on a five-point Likert scale, total score 20 to 100, with a Cronbach alpha of 0.89 and test-retest ICC of 0.85 in older adults. Patient satisfaction used the Integrative Medicine Patient Satisfaction Scale (IMPSS), 10 items with a total score of 10 to 50 and good structural validity (CFI 0.92, RMSEA 0.06). Treatment adherence used the Chinese version of the Frankl adherence rating scale with four levels from definite refusal and reluctant acceptance through passive acceptance to active cooperation, combined with the pill-count method (remaining dose divided by prescribed dose times 100) as an objective index, with good adherence defined as 80 percent or above. For sample size, the quasi-experimental stage assumed effect sizes of Cohen's d 0.45 to 0.55 from similar prior interventions, alpha 0.05, and power 0.80, requiring 68 to 82 per group and planning 85 per group after allowing 20 percent attrition; the Delphi stage set 20 to 25 experts per consensus methodology recommendations.

Step 4: Execute the three-stage procedure

Stage one ran from June to September 2024 at a tertiary hospital. Focus groups had 6 to 8 participants each, stratified by age (60 to 69, 70 to 79, and 80 or above) and comorbidity type, with 6 sessions of about 90 minutes; in-depth interviews targeted older adults unable to attend groups and clinical staff, lasting 45 to 60 minutes each, all recorded, transcribed verbatim, and coded independently by two researchers using thematic analysis with cross-checking. Stage two used the Delphi method: experts were required to have 10 or more years of experience in geriatric medicine, nursing, linguistics, psychology, or health communication, associate senior rank or above, and relevant core publications in the past 5 years, and 22 experts were finally enrolled; round one sent the 38 preliminary strategies derived from the qualitative stage as a structured questionnaire, retaining items with mean importance of 4.0 or above and coefficient of variation of 0.25 or below, which left 28 items with 6 additions forming 34; round two returned the statistics and asked for re-rating, with consensus defined as 70 percent or more of experts choosing agree or basically agree, finally retaining 30 strategies grouped into 4 dimensions. Stage three was quasi-experimental, allocating intervention and control groups by department; the intervention group received two days of communication strategy training including role play, video feedback, and standardised patient rehearsal and applied the framework in daily practice, while the control group maintained usual communication, with a 3-month intervention period and assessment before, immediately after, and 3 months after the intervention.

Step 5: Determine analysis and ethical safeguards

Qualitative data used six-stage thematic analysis covering familiarisation, initial codes, searching for themes, reviewing themes, defining and naming themes, and reporting, with two independent coders and a Kappa of 0.80 or above. For quantitative data, continuous variables were reported as mean and standard deviation and categorical variables as frequency and percentage; baseline comparison used independent-samples t tests or chi-square tests; intervention effects used analysis of covariance with baseline value as covariate, reporting partial eta squared as effect size; and subgroup analysis used stratified ANCOVA by age band, education level, and comorbidity type to test effect heterogeneity. The study was approved by the medical ethics committee (approval 2024-ETH-012) and all participants signed written informed consent; for participants with mild cognitive impairment a simplified consent form using font size 16 or above, plain language, and illustrations was used with a family member or caregiver present; data were anonymised and audio files deleted immediately after transcription.

3. Results: Communication Barrier Themes and Empirical Framework Data

Step 1: Describe baseline characteristics of participants

The study enrolled 286 older patients (144 in the intervention group and 142 in the control group), aged 65 to 89 with a mean age of 74.3 (SD 6.8); 152 were men (53.1 percent) and 134 women (46.9 percent). Education distribution was 98 with primary school or below (34.3 percent), 112 with junior high school (39.2 percent), and 76 with senior high school or above (26.6 percent). Chronic disease distribution was hypertension in 198 (69.2 percent), diabetes in 156 (54.5 percent), coronary heart disease in 112 (39.2 percent), and chronic obstructive pulmonary disease in 67 (23.4 percent). The two groups did not differ significantly in age, sex, education level, or disease type at baseline (P above 0.05), indicating comparability. Notably, education level and disease type became the key stratification variables for later subgroup analysis and determined that the framework must retain adjustable flexibility.

Step 2: Extract the three perceptual barrier sub-themes

Thematic analysis of in-depth interviews with 48 older patients and 6 focus group discussions extracted three broad barrier themes covering 9 sub-themes. Within perceptual barriers, hearing loss was the most frequently reported (42 of 48, 87.5 percent), with patients commonly saying the doctor speaks too fast to hear or that the surroundings are too noisy to hear anything; hearing loss causes incomplete information reception, and patients often make medication errors or delay follow-up after mishearing key instructions. Research shows hearing impairment is significantly associated with increased cognitive load, as those with hearing loss must mobilise more cognitive resources to compensate for missing auditory information. Slowed cognitive processing manifests as prolonged processing time and reduced short-term memory capacity, with 31 patients (64.6 percent) saying the doctor says too much at once to remember or that they forget as soon as it is said; encoding and storage efficiency for complex medical information declines, and forgetting rates for multi-drug regimens can reach 40 to 60 percent. Information overload arises when terminology and test results exceed comprehension, with 26 patients (54.2 percent) reporting too many professional terms or too many results to know which matters; when a clinician delivers more than 3 to 4 key points at once, comprehension drops sharply from 72 percent to 31 percent, and overload not only impairs immediate understanding but also reduces adherence to the subsequent plan.

Step 3: Extract the emotional and environmental barrier sub-themes

Among emotional barriers, anxiety and mistrust were central, with 34 patients (70.8 percent) expressing some degree of care-related anxiety and 19 (39.6 percent) explicitly saying they did not believe the doctor or feared the condition being concealed; older patients lack objective awareness of severity and prognosis and, when treatment falls short of expectation, tend to attribute this to insufficient skill rather than the complexity of disease, an attribution shift that is an important trigger of dispute. Generational difference appeared as conflict in communication style and values, with 28 patients (58.3 percent) feeling young doctors do not respect older people or speak too directly; older patients generally expect courtesy and humility and are especially sensitive to commanding or coercive tone, and they tend to rely on experience while younger clinicians emphasise evidence, widening the cognitive gap. The need to feel valued is a distinctive emotional feature, with 22 patients (45.8 percent) saying the doctor had no patience to hear them out or that they felt brushed aside; when clinicians appear impatient or dismissive, patients feel ignored and then refuse to cooperate. Among environmental barriers, noise was the leading factor (36 patients, 75.0 percent), as outpatient background noise averages 55 to 65 decibels and, for older patients whose hearing threshold has already declined by 25 to 40 decibels, the signal-to-noise ratio is severely inadequate, reducing speech recognition by 30 to 50 percent. Time pressure was reported by 29 patients (60.4 percent), since the average outpatient consultation in China lasts only 5 to 8 minutes while older patients need at least 12 to 15 minutes of effective communication because processing speed has slowed. Lack of assistive devices (18 patients, 37.5 percent) points to the general absence of age-friendly facilities such as magnifiers, hearing aids, and large-print education materials.

Step 4: Summarise the distribution of communication barriers

Step 5: Construct the four-dimension communication strategy framework

Based on the qualitative findings and two Delphi rounds (expert response rate 94.1 percent, authority coefficient 0.87, coordination coefficient 0.76, P below 0.01), the study constructed a framework of 4 dimensions and 16 operational elements. The language adjustment dimension comprises four elements: pace control at 80 to 100 characters per minute, 30 to 40 percent slower than usual; vocabulary simplification using short words and sentences, avoiding medical terminology, and using analogy where needed; information segmentation delivering no more than 3 key points at a time with a 3 to 5 second pause after each to confirm understanding; and teach-back confirmation requiring patients to restate key information with at least 80 percent accuracy. Its core mechanism is reducing cognitive load by lowering the difficulty of information encoding, raising processing efficiency in older patients by 40 to 60 percent.

The non-verbal dimension comprises eye contact maintaining the clinician at the patient's eye level with contact for 60 to 70 percent of the conversation, facial expression with smiling and nodding as positive feedback, gesture support using pointing gestures alongside verbal description, and written support providing materials in font size 16 or above with key information bolded or colour-marked. This dimension matters especially for patients with hearing impairment, since the visual channel can compensate for 30 to 50 percent of information loss when the auditory channel is blocked. The environment optimisation dimension comprises lighting regulation keeping clinic illuminance at 300 to 500 lux and avoiding backlight or glare, noise control keeping background noise below 45 decibels with soundproof curtains or a separate room if needed, seating arrangement placing clinician and patient 1.0 to 1.5 metres apart with the patient facing the light source and both at the same eye level, and assistive device provision including handheld magnifiers, portable hearing amplifiers, and speech-to-text devices. The goal is to raise the signal-to-noise ratio to 15 to 20 decibels, lifting speech recognition from 50 percent to above 85 percent. The emotional support dimension comprises empathic expression using phrases such as I understand how you feel at least once or twice per encounter, patient listening without interruption and with a mean listening time of at least 2 minutes, respect confirmation using honorifics and responding seriously to questions, and family participation inviting relatives into key information exchanges with the patient's consent. By meeting the need to feel valued, this dimension can raise trust by 35 to 50 percent, indirectly improving adherence.

Step 6: Summarise the framework and key parameters

Step 7: Evaluate intervention effects

Before intervention the two groups did not differ statistically on the three main outcomes, confirming comparability: communication quality 62.4 (SD 8.7) in the intervention group versus 63.1 (SD 9.2) in controls (P 0.512), patient satisfaction 71.3 (SD 10.5) versus 70.8 (SD 11.2) (P 0.683), and treatment adherence 65.7 (SD 12.3) versus 66.2 (SD 11.8) (P 0.724). After 3 months, the intervention group's communication quality score rose to 81.6 (SD 7.4), an increase of 19.2 points or 30.8 percent, while controls rose to 67.3 (SD 8.9), an increase of 4.2 points or 6.7 percent, a significant between-group difference (t 14.87, P below 0.001, Cohen's d 1.76). Among the four dimensions, the intervention group improved most on clarity of information transfer (up 22.5 points, 35.6 percent), followed by perceived emotional support (up 18.7 points, 29.4 percent) and patient participation (up 17.3 points, 27.1 percent).

Patient satisfaction rose in the intervention group from 71.3 (SD 10.5) to 86.2 (SD 8.1), up 20.9 percent, while controls rose from 70.8 (SD 11.2) to 74.5 (SD 10.3), up 5.2 percent, a significant difference (t 10.93, P below 0.001, d 1.29); among satisfaction sub-dimensions, communication adequacy improved most (up 24.6 percent), followed by sense of being respected (up 21.3 percent) and information comprehension (up 19.8 percent). Notably, satisfaction correlated significantly with adherence (r 0.62, P below 0.001), suggesting that improved communication satisfaction may promote adherence indirectly by strengthening trust and motivation. Treatment adherence rose in the intervention group from 65.7 (SD 12.3) to 78.4 (SD 9.6), up 19.3 percent, while controls rose from 66.2 (SD 11.8) to 69.1 (SD 10.7), up 4.4 percent, a significant difference (t 8.21, P below 0.001, d 0.97); among adherence dimensions, medication adherence improved most (up 21.5 percent), followed by follow-up adherence (up 18.2 percent) and lifestyle adjustment adherence (up 16.8 percent). Further analysis showed that language adjustment and emotional support correlated most strongly with improved medication adherence (beta 0.38 and beta 0.34, both P below 0.01), indicating that information clarity and emotional trust are key mediators of adherence behaviour.

Step 8: Summarise effects and subgroup differences

Step 9: Verify the mediating mechanism of perceptual barriers

To examine whether perceptual barriers mediate the link between environmental factors and communication quality, the study built a structural equation model. Environmental factors comprising noise, lighting, and seating had a direct effect on communication quality of beta 0.28 (P below 0.01), a mediated effect through perceptual barriers of hearing loss and slowed cognitive processing of beta 0.19 (P below 0.01), and a total effect of beta 0.47, so the mediated effect accounted for 40.4 percent of the total. This indicates that nearly half of the influence of environmental factors on communication quality operates by aggravating perceptual barriers, supporting the cognitive load hypothesis: a poor environment increases perceptual load in older patients, consuming already limited cognitive resources and thereby reducing communication quality. Environment optimisation therefore not only improves conditions directly but, more importantly, raises information processing efficiency indirectly by reducing perceptual load, providing a theoretical rationale for clinic renovation investment beyond economic grounds.

4. Discussion: Mechanisms of Strategy Effectiveness and Clinical Translation

Step 1: Explain language adjustment through cognitive load theory

The study found that slower pace, simplified syntax with subject-verb-object structures exceeding 85 percent, and vocabulary choice avoiding medical terminology with a substitution rate of 70 percent or above raised the proportion of correctly understood information from 62.3 percent at baseline to 81.7 percent after intervention (t 4.82, p below 0.001). This effect has a mechanistic explanation in cognitive load theory: older patients experience roughly a 30 to 40 percent reduction in working memory capacity with normal ageing, creating a competition for cognitive resources; when clinicians use complex syntax, patients must allocate more resources to syntactic parsing and thematic role identification rather than integrating content. Hearing loss further intensifies the competition, since the extra resources required for auditory perception encroach on already limited executive capacity. Pace and syntax adjustment essentially reduce load at the lexical retrieval and syntactic analysis stages, allowing patients to concentrate remaining working memory on semantic integration. Written material optimisation follows the same principle: the large-print, illustrated consent forms and medication guides provided to the intervention group raised the full-reading rate from 58 percent in controls to 79 percent. This matches prior evidence that only about 60 percent of older patients read written materials fully, while larger font size of 14 pt or above, high-contrast printing, and explanatory illustrations significantly improve readability and retention.

Step 2: Explain emotional support through socioemotional selectivity theory

Socioemotional selectivity theory holds that as perceived time remaining shortens, social goals shift from knowledge acquisition to emotion regulation, and the need for positive emotional experience and close relationships increases markedly. In this study, emotional support strategies raised trust scores in the intervention group by 0.73 standard deviations relative to controls (Cohen's d 0.73, 95 percent CI 0.51 to 0.95), with a stronger effect in the subgroup aged over 75 (d 0.89). Mediation analysis showed that trust accounted for 41.2 percent of the effect of emotional support on adherence (indirect effect beta 0.18, p 0.003), indicating that trust is the core psychological mechanism converting emotional support into behaviour change. Empirical evidence supports this pathway: clinicians actively performing emotional support tasks such as expressing concern, confirming the patient's emotional state, and notifying family of patient needs correlated significantly with post-discharge management adherence (r 0.120, p 0.003). After systematic empathic communication training, patients in the intervention group rated perceived emotional support at 4.1 out of 5, up from 3.2 at baseline. This is consistent with existing qualitative research showing that older patients regard emotional support from their children as a core resource for relieving negative emotion, so clinicians who can play a similar role may effectively compensate for the emotional deficit caused by network contraction.

Step 3: Differentiate the effects of non-verbal and environmental strategies

Non-verbal and environment optimisation strategies showed differentiated effects across subgroups. Stratified analysis found that among patients with mild to moderate hearing loss (mean pure-tone threshold 35 to 55 dB HL), environment optimisation had the largest effect on communication quality (delta 1.2 points on a 4-point scale), followed by the combination of face-to-face seating with moderately raised volume but no shouting (delta 0.9 points). However, among those with severe hearing loss (70 dB HL or above), the effects of both environment optimisation and non-verbal strategies declined markedly regardless of mask use, with no significant between-group difference (F 1.23, p 0.27), indicating that for severe hearing loss, strategy adjustment alone cannot overcome perceptual barriers and assistive technology such as personal amplification devices and real-time captioning is a necessary supplement. Among patients with mild cognitive impairment (MoCA 18 to 24), written keyword prompts and stepwise gesture demonstration outperformed language adjustment alone for information comprehension (delta 1.1 versus 0.6 points, p 0.04), suggesting that these patients accept and learn more efficiently from structured, multimodal information presentation.

Step 4: Compare multicomponent strategies with single-domain intervention

The multicomponent framework covering language, non-verbal, environment, and emotional dimensions performed significantly better than single-domain interventions reported previously, such as pace training or environment optimisation alone, on both patient satisfaction (up 15.3 percent in the intervention group versus 3.1 percent in controls) and self-reported medical error rate (down 42 percent versus 11 percent). This aligns with meta-analytic conclusions in multicomponent integrated care: there is a positive dose-response relationship between the number of components and effect size, and integrated interventions with four or more components outperform single-component interventions in improving patient outcomes. However, the complexity of a multicomponent strategy also brings sustainability challenges: clinician adherence to the strategy fell from 89 percent initially to 71 percent by month 3, indicating that training and feedback alone can hardly sustain long-term behaviour change.

Step 5: Address the controversy over training effect decay

Existing literature shows significant controversy over the long-term effects of communication training. Some studies report that systematic communication training, such as modular courses based on the SEGUE framework, maintains significantly improved clinician behaviour scores for 6 months after training (effect size d 0.4 to 0.6), while others find that without ongoing incentives and audit feedback the effect essentially returns to baseline by 12 months. This study partly supports the latter view: clinician communication behaviour scores rose immediately after training to 4.2 out of 5, then fell to 3.8 at 6-month follow-up, still significantly above the baseline of 3.1 (p 0.02) but with the improvement narrowing by about 50 percent. This decay suggests that future work should embed communication strategies in daily workflow, such as communication prompt templates in electronic health records and standardised clinic environment configuration, rather than relying on individual behaviour change for sustainability.

Step 6: Propose clinical translation and practice recommendations

Based on the findings, communication competence for older adults should be incorporated into core geriatric competencies with a tiered training system. The foundation tier for all clinicians covers the 3A communication method: Adjust pace, volume, and syntax; Affirm understanding and express empathy; Assist with written aids and family coordination. The advanced tier for geriatrics, oncology, and chronic disease departments covers differentiated strategies for subgroups including hearing loss, mild cognitive impairment, and comorbid depression. The expert tier for communication coordinators covers complex scenarios such as advance care planning discussions and breaking bad news. Training should use a blended model of theory teaching, standardised patient simulation, and clinical supervision, with quarterly refresher training and behaviour audit.

On workflow and environment standardisation, environment optimisation should be incorporated into healthcare facility standards: clinic acoustics keeping background noise below 45 decibels, fitting sound-absorbing materials, and seating patients with their backs to a wall to enhance sound reflection; visual environment keeping illuminance above 500 lux, avoiding glare, using font size 14 pt or above with high-contrast printing, and supporting key information with illustrations; and workflow embedding a communication time quota in outpatient scheduling so patients aged 65 and above automatically receive an extra 5 to 8 minutes, plus a geriatric communication prompt module in the electronic health record that reminds clinicians to adjust pace and confirm understanding. At policy level, health authorities should add a dedicated effective communication indicator to age-friendly hospital accreditation standards, covering clinician communication training coverage (target 90 percent or above), clinic environment compliance rate, and patient communication satisfaction (target 4.0 out of 5.0 or above), and incorporate communication quality into medical quality performance assessment to complement traditional indicators such as adverse event reporting and patient complaint rates.

5. Limitations and Future Research Directions

Step 1: Identify external validity limits from sample representativeness

The sample came from a single tertiary hospital in an urban area, with older patients mainly managing chronic disease and with relatively high education levels, which may limit the framework's applicability in rural primary care and among older adults with low education. In addition, participants were mainly community-dwelling older adults able to attend a healthcare facility independently, so those aged 85 and above, those with moderate to severe cognitive impairment, and those with four or more coexisting chronic diseases were under-represented; the study also excluded participants with severe hearing loss not wearing hearing aids, although prior research indicates that this group faces distinctive information access barriers and has fundamentally different strategy needs from older adults with normal hearing. On cultural and socioeconomic diversity, the sample was drawn mainly from an urban tertiary hospital with education generally at junior high school or above, limiting generalisation to rural, low health literacy, and economically disadvantaged older populations.

Step 2: Examine intervention duration and follow-up limits

The intervention lasted 3 months with follow-up to 6 months, so long-term maintenance beyond 12 months cannot be assessed. Existing literature shows follow-up spans in geriatric communication intervention range from 3 weeks to 18 months, dominated by short follow-up under 3 months, with longitudinal data beyond 12 months extremely scarce. The core challenge of short follow-up is that the persistence of strategy effects cannot be separated from a novelty effect of the intervention itself: older patients may temporarily increase communication participation because of research attention, but once outside the research setting, behaviour may decay rapidly. As a key outcome, treatment adherence has a time-dependent trajectory; adherence assessed by self-report questionnaire may improve in the short term, but rising attrition and recall bias in longer follow-up reduce data reliability. Attrition at the 3-month node reached 18.7 percent, and loss to follow-up was significantly higher among those aged 80 and above and those with cognitive impairment (chi-square 6.34, p 0.012), further weakening statistical power for long-term effect assessment. The study also lacked an active control arm, so the independent contribution of each dimension within the multicomponent strategy could not be precisely separated.

Step 3: Analyse potential bias and applicability boundaries

Several sources of potential bias exist. Intervention group clinicians received systematic communication training, so their behaviour may have deviated from routine practice through a Hawthorne effect, overestimating the intervention effect; control group delivery was not monitored concurrently, so the possibility that part of the between-group difference stems from non-specific attention to the intervention group cannot be excluded. Second, patient satisfaction and treatment adherence were both self-rated, so social desirability bias is hard to avoid: in the Chinese cultural context older patients tend to evaluate clinicians positively, which may mask true differences. On applicability boundaries, the framework mainly targets outpatient chronic disease management; its feasibility in high-pressure, time-sensitive settings such as emergency care, intensive care, or end-of-life care is unverified. Implementation also depends on clinicians adjusting their own behaviour, while in primary community facilities workload is heavy and training resources are limited, so sustainability and scalability face real constraints. In addition, the framework excludes digital communication tools such as mobile health applications and teleconsultation platforms, even though demand for non-face-to-face communication among older patients has risen markedly in the post-pandemic era, a gap that limits applicability in new service models.

Step 4: Plan the next research directions

Future research should prioritise multicentre, prospective longitudinal designs with several key features. First, build a stratified random sampling frame ensuring adequate representation of those aged 85 and above, those with mild cognitive impairment, those with three or more coexisting chronic diseases, and those with low health literacy, with sample size estimated from the minimum detectable effect for subgroup analysis, and extend follow-up to at least 12 months with assessment nodes at 1, 3, 6, and 12 months to map the decay curve, using objective indicators such as medication possession ratio and record-based follow-up adherence to offset self-report bias. Second, use stepped-wedge or cluster randomised designs to reduce contamination risk and strengthen external validity. Third, explore mediating mechanisms and effect modifiers, treating information comprehension, decision participation, and emotional safety as potential mediators and using structural equation modelling to test the causal chain from strategy to mediator to adherence and satisfaction, while systematically assessing how age band, cognitive function, education, and disease type modify effects. Fourth, conduct cross-cultural adaptation and implementation science research, exploring the framework's adaptability across urban and rural China and different healthcare systems, and using implementation frameworks to assess reach, adoption, fidelity, maintenance cost, and long-term sustainability. Fifth, explore integration of digital and blended strategies, combining voice interaction systems, medication reminder applications, and video consultation platforms with conventional face-to-face strategies while following age-friendly principles such as large fonts, voice navigation, and one-touch operation.

6. Conclusions: Framework Contribution and Practice Outlook

Step 1: Summarise the core conclusions

Using a mixed-methods design, this study systematically identified the perceptual, emotional, and environmental communication barriers faced by older patients in clinical settings and constructed an effective communication strategy framework covering language adjustment, non-verbal communication, environment optimisation, and emotional support. Quasi-experimental results showed that the framework has significant positive effects on communication quality, patient satisfaction, and treatment adherence. Mechanistically, effectiveness rests on two theoretical pillars. First, pace slowing, vocabulary simplification, and information segmentation lower cognitive load directly, enabling older patients to understand medical information more accurately with limited processing resources, consistent with the core prediction of cognitive ageing theory on declining working memory capacity. Second, empathic expression, patient listening, and confirmation of understanding meet the priority older adults place on emotional meaning under socioemotional selectivity theory, strengthening trust and willingness to cooperate. This study integrates these cognitive and emotional pathways into an operational clinical communication protocol, addressing the gap whereby existing strategies are mostly experiential summaries lacking systematic theoretical construction and empirical validation.

Step 2: Define a competency assessment framework for communication

The study calls for communication competence to be formally incorporated into core geriatric competencies, with three tiers of quantitative assessment and training criteria. At the knowledge level, clinicians should pass a standardised written examination covering cognitive ageing features, common communication barrier types, and response strategies with an accuracy of at least 80 percent. At the skill level, an objective structured clinical examination using a modified SEGUE framework should assess application of the 3A communication method, requiring behaviours such as adjusting pace to 100 to 120 characters per minute, limiting each segment to no more than 3 core points, and using written aids. At the attitude level, patient feedback questionnaires should assess empathic expression and patient listening with a target score of at least 4.5 out of 5. These indicators should be incorporated into annual appraisal and continuing education credit systems for geriatric physicians and nurses.

Step 3: Provide adaptive strategies for different subgroups

In clinical rollout, the framework requires adaptation for different subgroups. For patients with mild cognitive impairment, written and visual aids should be strengthened, using large-print illustrated instruction cards and simplified medication schedules, with more repetition and confirmation and a request to restate key information at the end of each encounter. For patients with hearing impairment, a quiet environment and face-to-face seating ensuring visible lip movement should be prioritised, with portable amplification devices or speech-to-text applications used where needed, and important information should never be exchanged in a noisy waiting area. For patients with low health literacy, the teach-back method should be used, in which clinicians explain in plain language and then ask patients to restate in their own words until understanding is confirmed, and complex regimens should be broken into daily executable steps. These adaptations received positive feedback from patients and clinicians during the qualitative stage, and their feasibility was preliminarily verified in the intervention group.

Step 4: Turn evidence integration capacity into research infrastructure

This agenda spans patient-physician communication theory, cognitive ageing psychology, psychometrics, implementation science, and health economics, and the evidence required is scattered across Chinese and international communication guidelines, instrument validation studies, randomised controlled trials, and institutional accreditation standards. The cost of cross-database retrieval, evidence grading, and harmonising definitions often exceeds what a single research team can bear. QSevidence provides AI guideline retrieval, literature evidence work, and structured evidence generation, helping researchers rapidly map the original items of patient-physician communication guidelines and age-friendly care standards, annotate publication year and applicable setting, produce reviewable evidence tables under a consistent framework, and retain full retrieval paths and source links for professional verification. This gives standardised recommendations such as incorporating communication competence into core geriatric competencies traceable evidentiary support, and gives comparisons between multicomponent strategies and single-domain interventions a reproducible methodological basis.

Step 5: Clarify the ultimate value orientation

The framework constructed here provides a theoretical basis and operational guide for geriatric communication practice, but real-world dissemination still requires systematic policy support. Healthcare institutions should incorporate communication competence training into mandatory new-employee induction with regular assessment and feedback mechanisms, and policymakers should add age-friendly communication standards to hospital accreditation indicators, shifting service models from disease-centred to older-patient-centred. Future research should also examine strategy adaptability across cultural settings, exploring how family participation can be more deeply integrated into the communication process under Chinese familism and filial piety norms. Ultimately, establishing communication competence as a core geriatric competency is not only a technical requirement for improving care quality but an ethical responsibility for achieving an actively ageing society.

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Medical Disclaimer

This article is based on published mixed-methods studies, Delphi expert consultations, randomised controlled and quasi-experimental literature, instrument validation studies, and institutional standards, and is intended for medical education, research methodology, and clinical study design reference only. It does not constitute any diagnostic, therapeutic, medication, or communication intervention recommendation. The communication quality scores, satisfaction scores, adherence indices, effect sizes, and strategy parameters discussed derive from a single-centre sample and the conditions set by that study, and their applicability varies across healthcare institutions, populations, and cultural settings; they must not be used directly to make individualised clinical decisions or to judge service quality. Communication barriers in older adults are usually interwoven with hearing and vision decline, cognitive impairment, comorbid depression and anxiety, and polypharmacy, so clinical communication and intervention plans must be developed and delivered by qualified geriatric, nursing, clinical psychology, or patient-communication professionals, with informed consent and ethics review, in accordance with individual circumstances and current guidelines.