Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare

Healthcare decisions for individual patients and for public health policies should be informed by the best available research evidence. The practice of evidence-based medicine is the integration of individual clinical expertise with the best available external clinical evidence from systematic research and patient's values and expectations. Primary care physicians need evidence for both clinical practice and for public health decision making. The evidence comes from good reviews which is a state-of-the-art synthesis of current evidence on a given research question. Given the explosion of medical literature, and the fact that time is always scarce, review articles play a vital role in decision making in evidence-based medical practice. Given that most clinicians and public health professionals do not have the time to track down all the original articles, critically read them, and obtain the evidence they need for their questions, systematic reviews and clinical practice guidelines may be their best source of evidence. Systematic reviews aim to identify, evaluate, and summarize the findings of all relevant individual studies over a health-related issue, thereby making the available evidence more accessible to decision makers. The objective of this article is to introduce the primary care physicians about the concept of systematic reviews and meta-analysis, outlining why they are important, describing their methods and terminologies used, and thereby helping them with the skills to recognize and understand a reliable review which will be helpful for their day-to-day clinical practice and research activities.

Epidemiological and clinical pattern of dermatomycoses in rural India

Superficial fungal infections are most common in tropical and subtropical countries. In this study, 297 suspected superficial fungal infection cases were identified among 15,950 patients screened. The collected samples (skin, nail, and hair) were subjected to direct microscopy with potassium hydroxide and cultured on Sabourauds dextrose agar to identify the fungal species. The prevalence of superficial fungal infection was 27.6% (82/297), dermatophytosis was 75.6% (62/82), and non-dermatophytosis was 24.4% (20/82). Among the isolated dermatophytes, Trichophyton rubrum was the commonest species (79%) and Candida (60%) the commonest non-dermatophytic species. Tinea corporis was the commonest (78%) clinical presentation.

Preparedness of primary and secondary health facilities in India to address major noncommunicable diseases: results of a National Noncommunicable Disease Monitoring Survey (NNMS)

BACKGROUND

The monitoring framework for evaluating health system response to noncommunicable diseases (NCDs) include indicators to assess availability of affordable basic technologies and essential medicines to treat them in both public and private primary care facilities. The Government of India launched the National Program for Prevention and Control of Cancer, Diabetes, Cardiovascular diseases and Stroke (NPCDCS) in 2010 to strengthen health systems. We assessed availability of trained human resources, essential medicines and technologies for diabetes, cardiovascular and chronic respiratory diseases as one of the components of the National Noncommunicable Disease Monitoring Survey (NNMS - 2017-18).

METHODS

NNMS was a cross-sectional survey. Health facility survey component covered three public [Primary health centre (PHC), Community health centre (CHC) and District hospital (DH)] and one private primary in each of the 600 primary sampling units (PSUs) selected by stratified multistage random sampling to be nationally representative. Survey teams interviewed medical officers, laboratory technicians, and pharmacists using an adapted World Health Organization (WHO) - Service Availability and Readiness Assessment (SARA) tool on handhelds with Open Data Kit (ODK) technology. List of essential medicines and technology was according to WHO - Package of Essential Medicines and Technologies for NCDs (PEN) and NPCDCS guidelines for primary and secondary facilities, respectively. Availability was defined as reported to be generally available within facility premises.

RESULTS

Total of 537 public and 512 private primary facilities, 386 CHCs and 334 DHs across India were covered. NPCDCS was being implemented in 72.8% of CHCs and 86.8% of DHs. All essential technologies and medicines available to manage three NCDs in primary care varied between 1.1% (95% CI; 0.3-3.3) in rural public to 9.0% (95% CI; 6.2-13.0) in urban private facilities. In NPCDCS implementing districts, 0.4% of CHCs and 14.5% of the DHs were fully equipped. DHs were well staffed, CHCs had deficits in physiotherapist and specialist positions, whereas PHCs reported shortage of nurse-midwives and health assistants. Training under NPCDCS was uniformly poor across all facilities.

CONCLUSION

Both private and public primary care facilities and public secondary facilities are currently not adequately prepared to comprehensively address the burden of NCDs in India.

Study of morbidity profile of a rural population in Tamil Nadu

OBJECTIVE

To identify the reported morbidity profile of people according to age, gender and organ system affected using International Classification of Diseases (ICD) coding, in a demographically defined area in Tamil Nadu in order to identify their health care needs and to plan appropriate interventions strategies.

MATERIALS AND METHODS

This is a-cross sectional study using a convenience sample of 12308 persons sceened from the 41 panchayat units of the Kattankulathur block, comprising 90 villages with a population of about 2,00,890, over a period of one year. Diagnosis made were coded using ICD 10 version and data collected was analysed by appropriate statistical methods to explain the distribution of morbidity profile among the study population.

RESULT

Out of total, 38.1% screened were males and 61.9% were females. Underfives were 5.3%, school going children 43.3%, adults 39.2% and elderly 12.3%. Majority had illness affecting respiratory system (20%), 'symptoms and signs' (19%), musculo-skeletal system (16.1%) and digestive system(11.9%). 'Symptoms and signs' classification, is a group of conditions which is of nonspecific diseases, signs, symptoms, abnormal findings and complaints, apart from the system specific conditions diagnosed properly and not elsewhere classified, More males were affeced with respiratory, digestive and illnesses with 'symptoms and signs' while more women were affected with musculo-skeletal problems. Only 9.7 % of patients reported with non-communicable diseases. Among them, 55 % women and 42.3 % men had osteoarthritis and 15.7 % women and 21.3 % men had cataract. About 15.8 % women and 18.1 % men had hypertension and other heart diseases while 9.7 % women and 8.4 % men had diabetes and 10.0 % men and 3.9 % women had chronic respiratory diseases.

CONCLUSION

School going children and adults have higher levels of morbidity when compared to elderly and under five children. More females reported with illness but morbidity was found to be higher among males. The burden of illness increased with age. Acute ailments were responsible for high morbidity among children, while chronic ailments caused high morbidity among the elderly.

Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare

Healthcare decisions for individual patients and for public health policies should be informed by the best available research evidence. The practice of evidence-based medicine is the integration of individual clinical expertise with the best available external clinical evidence from systematic research and patient's values and expectations. Primary care physicians need evidence for both clinical practice and for public health decision making. The evidence comes from good reviews which is a state-of-the-art synthesis of current evidence on a given research question. Given the explosion of medical literature, and the fact that time is always scarce, review articles play a vital role in decision making in evidence-based medical practice. Given that most clinicians and public health professionals do not have the time to track down all the original articles, critically read them, and obtain the evidence they need for their questions, systematic reviews and clinical practice guidelines may be their best source of evidence. Systematic reviews aim to identify, evaluate, and summarize the findings of all relevant individual studies over a health-related issue, thereby making the available evidence more accessible to decision makers. The objective of this article is to introduce the primary care physicians about the concept of systematic reviews and meta-analysis, outlining why they are important, describing their methods and terminologies used, and thereby helping them with the skills to recognize and understand a reliable review which will be helpful for their day-to-day clinical practice and research activities.

Audio-Visual Training Improves Awareness and Willingness of Cervical Cancer Screening among Healthy Indian Women: Findings from a Survey

Priya GaneshkumarObjectives  We evaluated the impact of a standardized, simple audio-visual (AV) training video developed in regional languages on cervical cancer awareness among apparently healthy women and their willingness to undergo regular cervical cancer screening. Materials and Methods  This cross-sectional noninterventional multicentric survey was conducted in 69 centers across 14 states in India and one center in UAE among women aged between 18 and 88 years attending clinics for a variety of indications. Using a short questionnaire, cervical cancer awareness and willingness to undergo cervical cancer screening were assessed before and after the AV training. Statistical Analysis  In addition to descriptive analysis, improvement in awareness after the AV training was assessed using McNemar's test, and comparison of responses between subgroups was performed using Pearson chi-squared test. Results  The survey was completed by 3,188 apparently healthy women (mean age: 36.8 ± 11.3 years). Before AV training, correct answers were given to only 4/6 questions by majority of the participants; most participants were unaware about the main cause of cervical cancer (1,637/3,188, 51.4%), availability of cervical cancer screening tests (1,601/3,188, 50.2%), and cervical cancer vaccines (1,742/3,188, 54.6%). Only 576 women (18.1%) had undergone cervical cancer screening in the past. After the AV training, the proportion of women correctly responding to all six questions improved significantly (p < 0.05), and 84.4% (2691/3188) women showed willingness to undergo periodic cervical cancer screening. Compared to unmarried and professional women, although married women and home-makers had lower awareness scores, the latter subgroups had more often undergone previous cervical cancer screening. Conclusion  It is possible to improve cervical cancer awareness among healthy women, and to enhance their willingness to undergo regular cervical cancer screening tests using a simple, six minute-long, standardized AV training material.

A novel fuzzy programming approach for piece selection problem in P2P content distribution network

Piece selection policy in dynamic P2P networks play crucial role and avoid the last piece problem. BitTorrent uses rarest-first piece selection mechanism to deal with this problem, but its efficacy is limited because each peer only has a local view of piece rareness. The problem of piece section is multiple objectives. A novel fuzzy programming approach is introduced in this article to solve the multiple objectives piece selection problem in P2P network, in which some of the factors are fuzzy in nature. Piece selection problem has been prepared as a fuzzy mixed integer goal programming piece selection problem that includes three primary goals such as minimizing the download cost, time, maximizing speed and useful information transmission subject to realistic constraints regarding peer's demand, capacity and dynamicity. The proposed approach has the ability to handle practical situations in a fuzzy environment and offers a better decision tool to each peer to select optimal pieces to download from other peers in dynamic P2P network. Extensive simulations are carried out to demonstrate the effectiveness of the proposed model. It is proved that proposed system outperforms existing with respect to download cost, time and meaningful exchange of useful information.

Evaluation of computer usage in healthcare among private practitioners of NCT Delhi

OBJECTIVES

1. To evaluate the usage and the knowledge of computers and Information and Communication Technology in health care delivery by private practitioners. 2. To understand the determinants of computer usage by them.

METHODS

A cross sectional study was conducted among the private practitioners practising in three districts of NCT of Delhi between November 2007 and December 2008 by stratified random sampling method, where knowledge and usage of computers in health care and determinants of usage of computer was evaluated in them by a pre-coded semi open ended questionnaire.

RESULTS

About 77% of the practitioners reported to have a computer and had the accessibility to internet. Computer availability and internet accessibility was highest among super speciality practitioners. Practitioners who attended a computer course were 13.8 times [OR: 13.8 (7.3 - 25.8)] more likely to have installed an EHR in the clinic. Technical related issues were the major perceived barrier in installing a computer in the clinic.

CONCLUSION

Practice speciality, previous attendance of a computer course, age of started using a computer influenced the knowledge about computers. Speciality of the practice, presence of a computer professional and gender were the determinants of usage of computer.

Harmonized Integration of GWO and J-SLnO for Optimized Asset Management and Predictive Maintenance in Industry 4.0

The study encompasses the application of two different advanced optimization algorithms on asset management and predictive maintenance in Industry 4.0-Grey Wolf Optimization and Jaya-based Sea Lion Optimization (J-SLnO). Using this derivative, the authors showed how these techniques could be combined through resource scheduling techniques to demonstrate drastic improvement in the level of efficiency, cost-effectiveness, and energy consumption, as opposed to the standard MinMin, MaxMin, FCFS, and Round Robin. In this sense, GWO results in an execution time reduction between 13 and 31%, whereas, in J-SLnO, there is an execution time reduction of 16-33%. In terms of cost, GWO shows an advantage of 8.57-9.17% over MaxMin and Round Robin, based on costs, while J-SLnO delivers a better economy for the range of savings achieved, which is between 13.56 and 19.71%. Both algorithms demonstrated tremendous energy efficiency, according to the analysis, which showed 94.1-94.2% less consumption of energy than traditional methods. Moreover, J-SLnO was reported to be more accurate and stable in predictability, making it an excellent choice for accurate and more time-trusted applications. J-SLnO is being increasingly recognized as a powerful yet realistic solution for the application of Industry 4.0 because of efficacy and reliability in predictive modeling. Not only does this research validate these optimization techniques to better use in practical life, but it also extends recommendations for putting the techniques into practice in industrial settings, thus laying the foundation for smarter, more efficient asset management and maintenance processes.

Prevalence of overweight/obesity among the medical students, Malaysia

BACKGROUND

Overweight and obesity are defined as abnormal or excessive fat accumulation that may impair health. Body mass index is a simple index of weight-for-height that is commonly used in classifying overweight and obesity in adult populations and individuals.

OBJECTIVES

A study was conducted to screen the medical students of AIMST University for overweight/obesity using Body Mass Index(BMI) and to determine the prevalence among them.

MATERIALS AND METHODS

This is an institution based cross sectional study was conducted among 290 medical students using a pre-tested questionnaire and measured their Body Mass Index (BMI). Data obtained was analyzed statistically by calculating proportions.

RESULTS

Out of 290 students who participated in the study, 45.2% were males. In the study, 14.8% were found to be overweight (BMI 23-24.9 kg/m2); 13.7% of males and 15.7% of females. Pre-obese students (BMI 25-29kg/m2) accounted for 15.9% of the total (males 18.3% and females 13.8%). 5.2% were found to be obese (BMI > 30 kg/m2): males 9.2% and females 1.9%. Also 14.8% were found to be underweight (males 12.2% and females 17.0%). The study group consisted of 63.8% Indian, 32.4% Chinese and 3.8% Malay students.

CONCLUSIONS

The study reveals that the prevalence of overweight and obesity among the medical students of AIMST University is on the high, which is comparable to the findings of earlier studies conducted in Malaysia, reinforcing the need to encourage healthy lifestyle, healthy food habits and a physically active daily routine, among the adolescents and youth of this country.