ABSTRACT
Background: Patient education is an essential component of improving public health as it empowers individuals with the knowledge and skills necessary for making informed decisions about their health and well-being. Primary care physicians play a crucial role in patients' education as they are the first contact between the patients and the healthcare system. However, they may not get adequate time to prepare educational material for their patients. An artificial intelligence-based writer like ChatGPT can help write the material for physicians. Aim: This study aimed to ascertain the capability of ChatGPT for generating patients' educational materials for common public health issues in India. Materials and Methods: This observational study was conducted on the internet using the free research version of ChatGPT, a conversational artificial intelligence that can generate human-like text output. We conversed with the program with the question - "prepare a patients' education material for X in India." In the X, we used the following words or phrases - "air pollution," "malnutrition," "maternal and child health," "mental health," "noncommunicable diseases," "road traffic accidents," "tuberculosis," and "water-borne diseases." The textual response in the conversation was collected and stored for further analysis. The text was analyzed for readability, grammatical errors, and text similarity. Result: We generated a total of eight educational documents with a median of 26 (Q1-Q3: 21.5-34) sentences with a median of 349 (Q1-Q3: 329-450.5) words. The median Flesch Reading Ease Score was 48.2 (Q1-Q3: 39-50.65). It indicates that the text can be understood by a college student. The text was grammatically correct with very few (seven errors in 3415 words) errors. The text was very clear in the majority (8 out of 9) of documents with a median score of 85 (Q1-Q3: 82.5-85) in 100. The overall text similarity index was 18% (Q1-Q3: 7.5-26). Conclusion: The research version of the ChatGPT (January 30, 2023 version) is capable of generating patients' educational materials for common public health issues in India with a difficulty level ideal for college students with high grammatical accuracy. However, the text similarity should be checked before using it. Primary care physicians can take the help of ChatGPT for generating text for materials used for patients' education.
ABSTRACT
Background: A teaching hospital or medical college may help provide better health care delivery to the people of the vicinity. Hence, building new medical colleges and upgrading existing hospitals to teaching hospitals are being implemented in India. Objective: This study aimed to observe the current distribution of medical colleges in Indian states and find correlation with area, population, and net state domestic product (NSDP). Methods: We collected data from public domain websites provided by government agencies. The State-wise number of government and private medical colleges and their annual intake were obtained from the National Medical Commission website. The state-wise number of medical colleges, geographical area, and population were calculated as the percentage of total Indian colleges, area, and population, respectively. Spearman's correlation was calculated to find any correlation of colleges and annual intake versus parameters such as area, population, and NSDP. Results: India has a total of 612 [321 (52.45%) government-run and 291 (47.55%) private] medical colleges. Tamil Nadu (70), Uttar Pradesh (67), Karnataka (63), Maharashtra (62), and Telangana (34) are the top five states with 296 (48.37%) medical colleges. States and union territories such as Karnataka, Kerala, Maharashtra, Puducherry, Tamil Nadu, and Telangana have higher medical colleges, and states such as Assam, Bihar, Odisha, Madhya Pradesh, Rajasthan, and Uttar Pradesh have lower medical colleges when compared with their population percentages. There was significant positive correlation of number of medical colleges with area (rs = 0.769, P < 0.0001), population (rs = 0.91, P < 0.0001), and NSDP (rs = 0.91, P < 0.0001). Conclusion: The current distribution of medical colleges in India is clustered over some states. Although geographical area and population are major predictors of medical colleges in Indian states, a more population-based balanced distribution of medical colleges would help distribute quality health care to the majority of the population.
ABSTRACT
Background Pulse oximeters measure oxygen saturation, heart rate, and perfusion index (PI) by analyzing photoplethysmographic signals. PI is an indirect measure of peripheral perfusion expressed as a percentage of pulsatile signals to non-pulsatile signals. PI measured from different sites may show variation. PI may vary when measured on different fingers. In this study, we aimed to observe the variation of PI among different fingers of both hands. Methodology This cross-sectional, observational study was conducted using a convenience sample recruited from a tertiary care hospital in eastern India. PI was measured in apparently healthy adults in a sitting posture after a five-minute rest. The pulse oximeter probe was attached to each finger and readings were taken after one minute. The analysis of variance and intraclass correlation coefficient (ICC) were calculated to compare and find agreement among PI. Results Data from a total of 391 (229 [58.57%] male and 162 [41.43%] female) adult research participants with a mean age of 34.88 ± 10.65 years were analyzed. The PI was the highest on the middle finger in both hands. There was a significant difference among the PI measured on different fingers, F (9, 3900) = 15.49, p <0.0001. The ICC was 0.474, 0.368, and 0.635 for overall, right-hand, and left-hand fingers, respectively, which indicate poor (ICC < 0.5) to moderate (ICC = 0.5-0.75) levels of reliability. Conclusions The PI measured using consumer-grade pulse oximeters on different fingers may provide different readings. The highest PI reading is found on the middle finger. Clinicians and primary care physicians should consider the differences in measured PI among different fingers and should use the readings with caution for any diagnostic purposes.
