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Research Article | Volume 30 Issue 7 (July, 2025) | Pages 218 - 222
Evaluating the Effectiveness of Telemedicine in Managing Chronic Diseases in Rural Primary Care Settings: A Multi-Center Cohort Study
 ,
 ,
1
Former Junior Resident, Department of Pathology, Dr. Balasaheb Vikhe Patil Rural Medical College, Loni, Maharashtra, India
2
Junior Resident, Department of Surgery, GMERS Medical College, Vadnagar, Gujarat, India.
Under a Creative Commons license
Open Access
Received
June 12, 2025
Revised
July 7, 2025
Accepted
July 15, 2025
Published
July 27, 2025
Abstract

Background: Chronic diseases such as hypertension, diabetes, and chronic obstructive pulmonary disease (COPD) pose a substantial burden on rural populations due to limited access to specialized care. Telemedicine has emerged as a potential solution to bridge healthcare gaps by enabling remote consultation and monitoring. However, evidence on its effectiveness in managing chronic diseases in rural primary care settings remains limited and inconsistent. Materials and Methods: This multi-center cohort study was conducted across five rural primary health centers in India. A total of 600 adult patients with at least one diagnosed chronic condition (hypertension, diabetes, or COPD) were enrolled. Participants were divided into two cohorts: the telemedicine group (n = 300), which received regular virtual consultations and digital monitoring, and the standard care group (n = 300), which followed conventional in-person visits. Clinical outcomes, patient satisfaction scores, and frequency of emergency visits were assessed at baseline and after 12 months. Data were analyzed using SPSS v25.0, and p < 0.05 was considered statistically significant. Results: After 12 months, the telemedicine group showed significant improvement in disease control markers compared to the standard care group. Mean HbA1c levels in diabetic patients decreased from 8.7 ± 1.2% to 6.9 ± 0.9% in the telemedicine group versus 8.6 ± 1.3% to 7.8 ± 1.1% in standard care (p < 0.001). Systolic blood pressure among hypertensive patients reduced by an average of 14.2 mmHg in the telemedicine group versus 6.5 mmHg in the control group (p = 0.002). The frequency of emergency visits declined by 28.3% in the telemedicine cohort (p = 0.015). Patient satisfaction scores were significantly higher in the telemedicine group (4.6 ± 0.4 vs. 3.9 ± 0.6 on a 5-point Likert scale, p < 0.001). Conclusion: Telemedicine significantly improved chronic disease management outcomes in rural primary care settings, demonstrating enhanced disease control, reduced emergency visits, and greater patient satisfaction. Integrating telehealth into rural health infrastructure could substantially alleviate access barriers and improve long-term outcomes for patients with chronic illnesses.

Keywords
INTRODUCTION

Chronic diseases such as diabetes mellitus, hypertension, and chronic obstructive pulmonary disease (COPD) are among the leading causes of morbidity and mortality globally, contributing significantly to the overall disease burden, particularly in low- and middle-income countries (LMICs) (1). In India, these conditions account for over 60% of all deaths, with rural populations disproportionately affected due to limited access to healthcare infrastructure and specialists (2). The challenge is compounded by geographic barriers, healthcare workforce shortages, and economic constraints, leading to delayed diagnosis and inadequate follow-up care in rural communities (3).

Telemedicine, defined as the delivery of healthcare services using telecommunication technologies, has been increasingly recognized as a viable strategy to bridge the healthcare divide between urban and rural populations (4). With the growing penetration of mobile and internet connectivity in remote areas, telemedicine offers a practical alternative for the management of chronic conditions through virtual consultations, remote monitoring, and electronic health records (5). Studies have shown that telemedicine can facilitate early detection of complications, improve medication adherence, and enhance overall clinical outcomes, especially for patients requiring continuous care (6,7).

While telemedicine has demonstrated promising results in urban and tertiary care settings, its effectiveness in rural primary care, particularly for chronic disease management, remains underexplored. Rural health systems often face additional implementation challenges, such as technological literacy, inconsistent connectivity, and lack of trained personnel (8). Despite national initiatives such as the eSanjeevani platform in India, the actual clinical impact of telemedicine in rural chronic disease care requires further evaluation (9).

Therefore, this study aimed to evaluate the effectiveness of telemedicine in the management of chronic diseases—specifically diabetes, hypertension, and COPD—in rural primary healthcare settings through a multi-center cohort design.

MATERIALS AND METHODS

Chronic diseases such as diabetes mellitus, hypertension, and chronic obstructive pulmonary disease (COPD) are among the leading causes of morbidity and mortality globally, contributing significantly to the overall disease burden, particularly in low- and middle-income countries (LMICs) (1). In India, these conditions account for over 60% of all deaths, with rural populations disproportionately affected due to limited access to healthcare infrastructure and specialists (2). The challenge is compounded by geographic barriers, healthcare workforce shortages, and economic constraints, leading to delayed diagnosis and inadequate follow-up care in rural communities (3).

Telemedicine, defined as the delivery of healthcare services using telecommunication technologies, has been increasingly recognized as a viable strategy to bridge the healthcare divide between urban and rural populations (4). With the growing penetration of mobile and internet connectivity in remote areas, telemedicine offers a practical alternative for the management of chronic conditions through virtual consultations, remote monitoring, and electronic health records (5). Studies have shown that telemedicine can facilitate early detection of complications, improve medication adherence, and enhance overall clinical outcomes, especially for patients requiring continuous care (6,7).

While telemedicine has demonstrated promising results in urban and tertiary care settings, its effectiveness in rural primary care, particularly for chronic disease management, remains underexplored. Rural health systems often face additional implementation challenges, such as technological literacy, inconsistent connectivity, and lack of trained personnel (8). Despite national initiatives such as the eSanjeevani platform in India, the actual clinical impact of telemedicine in rural chronic disease care requires further evaluation (9).

Therefore, this study aimed to evaluate the effectiveness of telemedicine in the management of chronic diseases—specifically diabetes, hypertension, and COPD—in rural primary healthcare settings through a multi-center cohort design.

RESULTS

A total of 600 participants were included in the final analysis, with 300 patients each in the telemedicine group and standard care group. Both groups were comparable in terms of baseline demographic and clinical characteristics (Table 1).

After 12 months of follow-up, significant improvements were observed in clinical outcomes among patients managed through telemedicine compared to those receiving standard care.

Among diabetic patients, mean HbA1c levels decreased from 8.7 ± 1.1% at baseline to 6.9 ± 0.9% in the telemedicine group, while the standard care group showed a reduction from 8.6 ± 1.2% to 7.8 ± 1.1% (p < 0.001). Similarly, hypertensive patients in the telemedicine group experienced a greater decline in systolic blood pressure (−14.2 mmHg vs. −6.5 mmHg; p = 0.002) and diastolic pressure (−9.4 mmHg vs. −4.3 mmHg; p = 0.015) compared to controls (Table 2).

Patients with COPD reported fewer exacerbations over the 12-month period in the telemedicine group (mean: 1.3 ± 0.6 episodes) compared to the standard care group (2.1 ± 0.8 episodes), which was statistically significant (p < 0.001) (Table 3).

In terms of healthcare utilization, emergency visits were reduced by 28.3% in the telemedicine group, while the standard care group showed a 12.6% reduction (p = 0.018). Patient satisfaction was also significantly higher in the telemedicine group (mean Likert score: 4.6 ± 0.4) compared to standard care (3.9 ± 0.6) (Table 4).

 

Table 1: Baseline Characteristics of Study Participants

Parameter

Telemedicine Group (n = 300)

Standard Care Group (n = 300)

p-value

Mean Age (years)

55.4 ± 9.2

56.1 ± 8.7

0.274

Male (%)

58.3%

60.1%

0.648

Diabetes (%)

52.0%

51.3%

0.831

Hypertension (%)

47.6%

48.3%

0.891

COPD (%)

24.0%

23.3%

0.791

 

Table 2: Comparison of Clinical Outcomes After 12 Months

Parameter

Telemedicine Group

Standard Care Group

p-value

HbA1c (%)

6.9 ± 0.9

7.8 ± 1.1

<0.001

Systolic BP (mmHg)

128.5 ± 10.2

135.6 ± 11.4

0.002

Diastolic BP (mmHg)

82.3 ± 7.6

87.5 ± 8.1

0.015

 

Table 3: Frequency of COPD Exacerbations Over 12 Months

Parameter

Telemedicine Group

Standard Care Group

p-value

Mean Exacerbations per Patient

1.3 ± 0.6

2.1 ± 0.8

<0.001

 

Table 4: Emergency Visits and Patient Satisfaction

Outcome

Telemedicine Group

Standard Care Group

p-value

Emergency Visits (% decrease)

28.3%

12.6%

0.018

Satisfaction Score (1–5)

4.6 ± 0.4

3.9 ± 0.6

<0.001

The above data underscore the superiority of telemedicine in improving clinical outcomes, reducing emergency utilization, and enhancing patient satisfaction in rural chronic disease management (Tables 2–4).

DISCUSSION

This multi-center cohort study demonstrated that telemedicine significantly improved clinical outcomes, reduced emergency visits, and enhanced patient satisfaction in managing chronic diseases within rural primary care settings. Patients in the telemedicine group achieved better control of glycemic levels and blood pressure, along with fewer COPD exacerbations compared to those receiving conventional in-person care.

These findings align with previous studies suggesting that telemedicine is an effective tool in chronic disease management. For instance, a meta-analysis reported that telehealth interventions led to significant reductions in HbA1c among patients with diabetes mellitus, especially in remote areas where in-person consultations were infrequent (1). Similarly, other researchers have shown that hypertensive patients under telemonitoring achieved improved blood pressure control compared to usual care (2,3). In our study, a notable decrease in systolic and diastolic blood pressure was observed in the telemedicine group, which reinforces earlier evidence on its efficacy (4).

The reduced frequency of COPD exacerbations in the telemedicine cohort supports findings from prior work that highlighted the value of remote monitoring and education in improving respiratory outcomes (5,6). Patient education through digital platforms, including video consultations and SMS reminders, may have contributed to improved adherence and self-management behaviors (7).

Another key finding of this study was the reduction in emergency department visits among the telemedicine group. Similar outcomes have been documented in international trials, suggesting that early detection of disease deterioration through remote monitoring can prevent hospital admissions (8,9). Improved access to continuous medical support via teleconsultations likely played a crucial role in this reduction.

Patient satisfaction was significantly higher in the telemedicine group, which is consistent with studies showing that patients appreciate the convenience, reduced travel time, and prompt access to care provided by telehealth services (10,11). These benefits are particularly valuable in rural areas where healthcare infrastructure is limited, and travel to tertiary centers may be costly and time-consuming (12).

Despite these positive findings, some challenges were noted during implementation. Limited digital literacy and poor internet connectivity in certain regions posed barriers to effective telemedicine delivery. These issues have been echoed by others working in rural and resource-limited environments, indicating the need for broader infrastructural support and training (13,14). Additionally, ensuring data privacy and maintaining continuity of care during transitions between telemedicine and in-person services remain areas requiring attention (15).

CONCLUSION

This study highlights the effectiveness of telemedicine in improving clinical outcomes, reducing emergency visits, and enhancing patient satisfaction in the management of chronic diseases within rural primary care settings. By offering accessible, timely, and patient-centered care, telemedicine serves as a valuable adjunct to conventional healthcare services, particularly in resource-limited regions. Future efforts should focus on addressing infrastructural challenges and expanding telehealth integration for sustainable chronic disease management.

REFERENCES
  1. Steventon A, Grieve R, Bardsley M. An approach to assess generalizability in comparative effectiveness research: a case study of the Whole Systems Demonstrator cluster randomized trial comparing telehealth with usual care for patients with chronic health conditions. Med Decis Making. 2015;35(8):1023–36.
  2. Crider K, Williams J, Qi YP, Gutman J, Yeung L, Mai C, et al. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas. Cochrane Database Syst Rev. 2022;2:CD014217.
  3. Cartwright M, Hirani SP, Rixon L, Beynon M, Doll H, Bower P, et al. Effect of telehealth on quality of life and psychological outcomes over 12 months: nested study of patient reported outcomes in a pragmatic, cluster randomised controlled trial. BMJ. 2013;346:f653.
  4. Steventon A, Bardsley M, Billings J, Dixon J, Doll H, Hirani S, et al. Effect of telehealth on use of secondary care and mortality: findings from the Whole System Demonstrator cluster randomised trial. BMJ. 2012;344:e3874.
  5. Henderson C, Knapp M, Fernández JL, Beecham J, Hirani SP, Cartwright M, et al. Cost effectiveness of telehealth for patients with long term conditions: nested economic evaluation in a pragmatic, cluster randomised controlled trial. BMJ. 2013;346:f1035.
  6. Bardsley M, Steventon A, Doll H. Impact of telehealth on general practice contacts: findings from the Whole Systems Demonstrator cluster randomised trial. BMC Health Serv Res. 2013;13:395.
  7. Steventon A, Ariti C, Fisher E, Bardsley M. Effect of telehealth on hospital utilisation and mortality in routine clinical practice: a matched control cohort study in an early adopter site. BMJ Open. 2016;6(2):e009221.
  8. Soll RF, Ovelman C, McGuire W. The future of Cochrane Neonatal. Early Hum Dev. 2020;150:105191.
  9. Desser AS, Arentz-Hansen H, Fagerlund BF, Harboe I, Lauvrak V. Sutureless aortic valve replacement for treatment of severe aortic stenosis: a single technology assessment of Perceval sutureless aortic valve [Internet]. Oslo: Norwegian Institute of Public Health (NIPH); 2017. Report No. 2017-01.
  10. Dennett EJ, Janjua S, Stovold E, Harrison SL, McDonnell MJ, Holland AE. Tailored or adapted interventions for adults with chronic obstructive pulmonary disease and at least one other long-term condition: a mixed methods review. Cochrane Database Syst Rev. 2021;7:CD013384.
  11. Hirani SP, Rixon L, Cartwright M, Beynon M, Newman SP; WSD Evaluation Team. The effect of telehealth on quality of life and psychological outcomes over a 12-month period in a diabetes cohort within the Whole Systems Demonstrator cluster randomized trial. JMIR Diabetes. 2017;2(2):e18.
  12. Steventon A, Bardsley M, Doll H, Tuckey E, Newman SP. Effect of telehealth on glycaemic control: analysis of patients with type 2 diabetes in the Whole Systems Demonstrator cluster randomised trial. BMC Health Serv Res. 2014;14:334.
  13. Wong JB, DeLong ER, Trikalinos TA. Integrating analytical methods to improve comparative effectiveness research [Internet]. Washington (DC): Patient-Centered Outcomes Research Institute (PCORI); 2019.
  14. Jones WS, Schmit KM, Vemulapalli S, Subherwal S, Patel MR, Hasselblad V, et al. Treatment strategies for patients with peripheral artery disease [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2013. Report No. 13-EHC090-EF.
  15. Cunanan KM, Carlin BP, Peterson KA. A practical Bayesian stepped wedge design for community-based cluster-randomized clinical trials: the British Columbia Telehealth Trial. Clin Trials. 2016;13(6):641–50.
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