Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring
Abstract Background Chronic obstructive pulmonary disease (COPD) is a chronic respiratory condition characterized by high morbidity and mortality rates. This study aims to assess the clinical outcomes of COPD patients after implementing an algorithm within the MyTatva app. Methods The study involved...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-01-01
|
| Series: | Journal of Health, Population and Nutrition |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41043-024-00727-9 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832594629234524160 |
|---|---|
| author | Prachi Sharma Mihir Gharia Devina Aswal Vishva Trivedi Bhavnita Soni Prerna Soni Devesh Joshi Dhvni Lalan Vrushali Athavale Irfan Shaikh Koshy Jacob |
| author_facet | Prachi Sharma Mihir Gharia Devina Aswal Vishva Trivedi Bhavnita Soni Prerna Soni Devesh Joshi Dhvni Lalan Vrushali Athavale Irfan Shaikh Koshy Jacob |
| author_sort | Prachi Sharma |
| collection | DOAJ |
| description | Abstract Background Chronic obstructive pulmonary disease (COPD) is a chronic respiratory condition characterized by high morbidity and mortality rates. This study aims to assess the clinical outcomes of COPD patients after implementing an algorithm within the MyTatva app. Methods The study involved a sample of 10 COPD patients, evaluating key parameters such as Forced Expiratory Volume in 1 s (FEV1), Forced Vital Capacity, Weight, Body Mass Index (BMI), Fat-Free Mass Index, and Distance Covered during the 6-Minute Walk Test (6MWT) before and after the algorithm’s implementation in the MyTatva app. Patient satisfaction was assessed through a CSAT survey. Results Following the implementation of the MyTatva care plan, significant improvements were observed in several key clinical outcomes for COPD patients. FEV1 increased from a median of 3.24–2.0 L (p = 0.0379), while weight and BMI decreased significantly, with a reduction in weight from a median of 86–70 kg (p = 0.0007) and a corresponding decrease in BMI from 28.43 to 24 kg/m2 (p = 0.0031). The distance covered during the 6MWT also improved from 420 to 568 m (p = 0.0019). The participation of 10 COPD patients in surveys yielded an overall CSAT score of 85%, indicating a high level of satisfaction with the MyTatva app. Conclusion The comprehensive features and functionalities of the MyTatva app, combined with the personalized care plan and real-time feedback mechanisms, have led to substantial clinical improvements in COPD management. These findings highlight the promise of this innovative digital therapeutic approach in addressing chronic respiratory conditions. |
| format | Article |
| id | doaj-art-80f9f3a0e9684309b450361c4cf26a7f |
| institution | Kabale University |
| issn | 2072-1315 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Health, Population and Nutrition |
| spelling | doaj-art-80f9f3a0e9684309b450361c4cf26a7f2025-01-19T12:27:57ZengBMCJournal of Health, Population and Nutrition2072-13152025-01-0144111010.1186/s41043-024-00727-9Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoringPrachi Sharma0Mihir Gharia1Devina Aswal2Vishva Trivedi3Bhavnita Soni4Prerna Soni5Devesh Joshi6Dhvni Lalan7Vrushali Athavale8Irfan Shaikh9Koshy Jacob10TatvacareTatvacareTatvacareTatvacareTatvacareTatvacareTatvacareTatvacareTatvacareTatvacareTatvacareAbstract Background Chronic obstructive pulmonary disease (COPD) is a chronic respiratory condition characterized by high morbidity and mortality rates. This study aims to assess the clinical outcomes of COPD patients after implementing an algorithm within the MyTatva app. Methods The study involved a sample of 10 COPD patients, evaluating key parameters such as Forced Expiratory Volume in 1 s (FEV1), Forced Vital Capacity, Weight, Body Mass Index (BMI), Fat-Free Mass Index, and Distance Covered during the 6-Minute Walk Test (6MWT) before and after the algorithm’s implementation in the MyTatva app. Patient satisfaction was assessed through a CSAT survey. Results Following the implementation of the MyTatva care plan, significant improvements were observed in several key clinical outcomes for COPD patients. FEV1 increased from a median of 3.24–2.0 L (p = 0.0379), while weight and BMI decreased significantly, with a reduction in weight from a median of 86–70 kg (p = 0.0007) and a corresponding decrease in BMI from 28.43 to 24 kg/m2 (p = 0.0031). The distance covered during the 6MWT also improved from 420 to 568 m (p = 0.0019). The participation of 10 COPD patients in surveys yielded an overall CSAT score of 85%, indicating a high level of satisfaction with the MyTatva app. Conclusion The comprehensive features and functionalities of the MyTatva app, combined with the personalized care plan and real-time feedback mechanisms, have led to substantial clinical improvements in COPD management. These findings highlight the promise of this innovative digital therapeutic approach in addressing chronic respiratory conditions.https://doi.org/10.1186/s41043-024-00727-9COPDDietNutritionDigital therapeuticsAlgorithmMyTatva |
| spellingShingle | Prachi Sharma Mihir Gharia Devina Aswal Vishva Trivedi Bhavnita Soni Prerna Soni Devesh Joshi Dhvni Lalan Vrushali Athavale Irfan Shaikh Koshy Jacob Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring Journal of Health, Population and Nutrition COPD Diet Nutrition Digital therapeutics Algorithm MyTatva |
| title | Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring |
| title_full | Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring |
| title_fullStr | Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring |
| title_full_unstemmed | Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring |
| title_short | Development of an algorithm impacting COPD care through personalized nutrition and IoT-based monitoring |
| title_sort | development of an algorithm impacting copd care through personalized nutrition and iot based monitoring |
| topic | COPD Diet Nutrition Digital therapeutics Algorithm MyTatva |
| url | https://doi.org/10.1186/s41043-024-00727-9 |
| work_keys_str_mv | AT prachisharma developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT mihirgharia developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT devinaaswal developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT vishvatrivedi developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT bhavnitasoni developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT prernasoni developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT deveshjoshi developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT dhvnilalan developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT vrushaliathavale developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT irfanshaikh developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring AT koshyjacob developmentofanalgorithmimpactingcopdcarethroughpersonalizednutritionandiotbasedmonitoring |