phd student of sppu pune in marketing management and your job is research about evaluating effectiveness of eclinic service in westren Maharashtra and integrated analysis of accessibility, Service qu

phd student of sppu pune in marketing management and your job is research about evaluating effectiveness of eclinic service in westren Maharashtra and integrated analysis of accessibility, Service quality and patient satisfaction
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BioSkepsis

Bottom line. Effectiveness of e-clinics in Western Maharashtra is driven by cost and distance savings but hindered by network instability and digital illiteracy.

Accessibility Determinants in Western Maharashtra

Accessibility of e-clinic services in Western Maharashtra is primarily determined by geographic proximity to physical health centers, the availability of specialized specialists through tele-consultation, and the reduction of out-of-pocket travel costs for rural populations (PMID: 38883020). In the western region, over 70% of telemedicine cases involve patients located more than 200 km away from the hub institution, emphasizing the service's role in bridging significant geographic distances (PMID: 39464921). For chronic care, such as pediatric HIV management in Maharashtra, telemedicine has successfully reached unreached populations in resource-limited settings where specialized clinicians were otherwise physically inaccessible (PMID: 33149744).

Service Quality Dimensions and Technical Performance

Service quality for e-clinics in the Indian sector is defined through dimensions including ease of registration, technical quality (audio/video clarity), reliability of medical advice, and provider responsiveness (PMID: 36793030). In Western India, 82.1% of patients reported positive experiences with registration and 100% with audio quality, though video quality assessments remained more equivocal at 82.1% neutral (PMID: 36793030). Furthermore, the use of a digital assistant (Ayu) has been shown to increase adherence to evidence-based care protocols, with community health officers spending an average of 7 minutes on history-taking compared to 3 minutes in traditional settings (PMID: 37130015).

Factors Driving Patient Satisfaction and Behavioral Intention

Patient satisfaction with e-clinic services is multifactorial, driven by perceived effectiveness in chronic disease management, clinician attitude, and significant reductions in waiting times (PMID: 38883020, 36793030, 39464921). Analysis of the national e-Sanjeevani portal showed 96% overall patient satisfaction, with 94% of respondents intending to use the service again (PMID: 39464921). From a marketing perspective, applying the Extended Technology Acceptance Model (TAM2) reveals that job relevance is a strong predictor of perceived usefulness (β = 0.310), which significantly impacts the intention to use (β = 0.199), alongside perceived risk (β = 0.214) and subjective norms (β = 0.149) (PMID: 40111657).

Socioeconomic and Digital Infrastructure Barriers

The effectiveness of e-clinics in Western Maharashtra is constrained by technical barriers, educational gaps, and operational challenges (PMID: 38883020, 36793030, 39464921). Key technical obstacles in rural Pune included network connectivity issues (11.5%) and difficulties in dispensing prescribed medications (12.1%) (PMID: 38883020). Clinicians highlighted that the absence of physical examination (73%) remains a critical challenge that can lead to misdiagnosis (PMID: 36793030). Educational barriers are also significant, with 32% of patients exhibiting digital illiteracy, contributing to frustration and non-responsiveness (PMID: 36793030). This is reflected in data from Western India showing that approximately 40% of teleconsultation calls were wrongly addressed, indicating a lack of patient familiarity with digital navigation (PMID: 39464921).

Integrated Research Framework for Western Maharashtra

Contextual evidence indicates a specific gap in longitudinal patient retention and the integration of e-clinics into the downstream primary care supply chain (PMID: 41158553). While initial satisfaction is high (96%), the 'know-do gap'—the discrepancy between provider knowledge and care actually delivered—remains a barrier to long-term clinical outcomes (PMID: 28479635). The rationale for further study lies in evaluating if high perceived service quality can translate into sustained 'platform stickiness' beyond pandemic-driven demand (PMID: 41158553).

Explicit Research Aims:
1. Quantify the impact of socioeconomic factors (digital literacy, income) on the adoption of CHO-assisted telemedicine models in Western Maharashtra.
2. Apply Importance-Performance Analysis (IPA) to identify which service quality dimensions (reliability, responsiveness, empathy) most strongly correlate with patient satisfaction in rural vs. semi-urban Pune.
3. Evaluate the diagnostic concordance of e-clinic models across diverse specialties to establish a safety and effectiveness baseline for policy expansion (PMID: 37130015).

Research notebook

What are the primary determinants of accessibility for e-clinic services in Western Maharashtra and similar rural/semi-urban Indian contexts?

Accessibility of e-clinic services in Western Maharashtra is primarily determined by geographic proximity to physical health centers, the availability of specialized specialists through tele-consultation, and the reduction of out-of-pocket travel costs for rural populations.

Status: verified • Confidence: high

  • In a study conducted in rural Pune (Lavale and Nasrapur), 76.1% of patients found telemedicine acceptable and beneficial, with 77.2% reporting that it saved time and 76.1% finding it convenient due to reduced travel and costs. (PMID 38883020, results)
  • Research in the western region of India showed that over 70% of telemedicine cases involved patients located more than 200 km away from the hub institution, highlighting the service's role in bridging significant geographic distances. (PMID 39464921, results)

How is service quality defined and measured for e-clinics, particularly using models like SERVQUAL or E-S-QUAL in the Indian healthcare sector?

Service quality for e-clinics in the Indian context is evaluated through dimensions such as ease of registration, technical quality (audio/video clarity), reliability of medical advice, and the responsiveness of healthcare providers, which align with adapted SERVQUAL frameworks.

Status: verified • Confidence: high

  • A study in Western India assessed service quality through domains like ease of registration (82.1% positive), audio quality (100%), and the ability of patients to talk freely about medicine (94.8%), though video quality was more equivocal (82.1% neutral). (PMID 36793030, results)
  • Evaluating teleconsultation in rural Pune, service effectiveness was measured by its value in improving patient management (56.9%), enhancing counseling (17%), and enabling early diagnosis or better investigations. (PMID 38883020, methods)
  • Analysis of e-Sanjeevani services in Western India used patient satisfaction (96%) and the ease of platform use (80%) as key indicators of service quality and success. (PMID 39464921, results)

What are the key factors influencing patient satisfaction with e-clinic services in India?

Patient satisfaction with e-clinic services in India is driven by the perceived effectiveness of chronic disease management, the attitude and communication style of clinicians, and the significant reduction in waiting and travel times compared to physical OPD visits.

Status: verified • Confidence: high

  • In rural Pune, 76.1% of patients reported satisfaction with telemedicine services, with patients emphasizing the convenience and time-saving aspects, particularly for managing diabetes and hypertension. (PMID 38883020, results)
  • Patients in Western India expressed high satisfaction with the time spent during teleconsultation (81.4%), the advice received (78.4%), and the communication manner of the doctors (78.4%). (PMID 36793030, results)
  • A high level of overall satisfaction (96%) was recorded among users of the national e-Sanjeevani portal, with 94% of respondents indicating they would use the service again in the future. (PMID 39464921, results)

How do accessibility and service quality collectively impact the overall effectiveness and adoption of e-clinics in Western Maharashtra?

The effectiveness and adoption of e-clinics in Western Maharashtra are fostered by the synergy between improved accessibility to specialized care and high perceived service quality, particularly for managing chronic non-communicable diseases.

Status: verified • Confidence: high

  • Telemedicine in rural Pune significantly improved the management of chronic conditions like diabetes and hypertension, leading to better HbA1c and blood pressure control through regular specialist access. (PMID 38883020, discussion)
  • Clinicians in Western India believe telemedicine is a viable tool for future healthcare delivery, preventing infection transmission and reducing hospital overcrowding while maintaining quality of care. (PMID 36793030, discussion)

What are the specific socioeconomic and digital infrastructure barriers to e-clinic effectiveness in the Western Maharashtra region?

Effectiveness of e-clinics in Western Maharashtra is hindered by technical barriers (network instability), educational gaps (digital illiteracy), and operational challenges such as prescription dispensation and a preference for traditional physical examinations.

Status: verified • Confidence: high

  • Major obstacles in rural Pune included network connectivity issues (11.5%), language barriers (9.6%), and difficulties in dispensing prescribed medications (12.1%). (PMID 38883020, results)
  • Clinicians highlighted that the lack of physical examination (73%) and patients' digital illiteracy (32%) were significant hurdles that could lead to misdiagnosis or miscommunication. (PMID 36793030, results)
  • Approximately 40% of teleconsultation calls were wrongly addressed, reflecting a need for enhanced digital literacy and better navigation tools for patients. (PMID 39464921, results)
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BioSkepsis

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Top cited papers

PMID 38883020
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PMID 39464921
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PMID 36793030
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