Non-communicable Disease Risk Reduction Teaching in India: A Curricular Landscape

Development of a multi-component tobacco cessation training package utilizing multiple approaches of intervention development for health care providers and patients attending non-communicable disease clinics of Punjab, India

Background

Providing patients with personalized tobacco cessation counseling that is culturally sensitive, and disease-specific from healthcare providers (HCPs) as part of their routine consultations is an approach that could be incorporated, using existing healthcare systems such as the Non-Communicable Disease (NCD) clinics. This paper describes the development of a multi-component culturally tailored, patient-centric, disease-specific tobacco cessation package utilizing multiple approaches of intervention development for healthcare providers and patients attending these clinics in Punjab, India, along with a proposed framework for implementation.

Methods

The proposed intervention package was developed in 6 stages. These included a review of literature for identifying successful cessation interventions for ethnic minority groups, co-production of the package with all stakeholders involved via a series of consultative meetings and workshops, understanding contextual factors of the state and 'factor-in' these in the package, pre-test of the package among HCPs and tobacco users using in-depth interviews, micro detailing and expansion of the package by drawing on existing theories of the Cascade Model and Trans-Theoretical Model and developing an evolving analysis plan through real-world implementation at two pilot districts by undertaking a randomized controlled trial, assessing implementer's experiences using a mixed-method with a primary focus on qualitative and economic evaluation of intervention package.

Results

A multi-component package consisting of a booklet (for HCPs), disease-specific pamphlets and short text messages (for patients; bilingual), and an implementation framework was developed using the 6-step process. A major finding from the in-depth interviews was the need for a specific capacity-building training program on tobacco cessation. Therefore, using this as an opportunity, we trained the in-service human resource and associated program managers at the state and district-level training workshops. Based on the feedback, training objectives were set and supported with copies of intervention package components. In addition, the role and function of each stakeholder were defined in the proposed framework.

Conclusion

Consideration of tobacco users' socio-cultural and patient-centric approach makes a robust strategy while developing and implementing an intervention providing an enlarged scope to improve care services for diversified socio-cultural communities.

Identifying non-communicable disease multimorbidity patterns and associated factors: a latent class analysis approach

OBJECTIVE

In the absence of adequate nationally-representative empirical evidence on multimorbidity, the existing healthcare delivery system is not adequately oriented to cater to the growing needs of the older adult population. Therefore, the present study identifies frequently occurring multimorbidity patterns among older adults in India. Further, the study examines the linkages between the identified patterns and socioeconomic, demographic, lifestyle and anthropometric correlates.

DESIGN

The present findings rest on a large nationally-representative sample from a cross-sectional study.

SETTING AND PARTICIPANTS

The study used data on 58 975 older adults (45 years and older) from the Longitudinal Ageing Study in India, 2017-2018.

PRIMARY AND SECONDARY OUTCOME MEASURES

The study incorporated a list of 16 non-communicable diseases to identify commonly occurring patterns using latent class analysis. The study employed multinomial logistic regression models to assess the association between identified disease patterns with unit-level socioeconomic, demographic, lifestyle and anthropometric characteristics.

RESULTS

The present study demonstrates that older adults in the country can be segmented into six patterns: 'relatively healthy', 'hypertension', 'gastrointestinal disorders-hypertension-musculoskeletal disorders', 'musculoskeletal disorders-hypertension-asthma', 'metabolic disorders' and 'complex cardiometabolic disorders'. Additionally, socioeconomic, demographic, lifestyle and anthropometric factors are significantly associated with one or more identified disease patterns.

CONCLUSIONS

The identified classes 'hypertension', 'metabolic disorders' and 'complex cardiometabolic disorders' reflect three stages of cardiometabolic morbidity with hypertension as the first and 'complex cardiometabolic disorders' as the last stage of disease progression. This underscores the need for effective prevention strategies for high-risk hypertension group. Also, targeted interventions are essential to reduce the burden on the high-risk population and provide equitable health services at the community level.

Prevalence, Patterns, and Predictors of Physical Inactivity in an Urban Population of India

Physical inactivity (PI) is a risk factor for mortality and morbidity. PI and its predictors among the urban population in Bhubaneswar, India, were unknown. Finding out the contribution of PI as a cause of existing noncommunicable diseases (NCD) is difficult without following up with a cohort. The study was hence done to find out the prevalence, patterns, and predictors of physical inactivity in an urban population, and simultaneously investigate its causal relationship with NCD from this cross-sectional study. Cluster random sampling was used with a sample size of 1203 with a design effect of three. Socio-demographic, health profile, physical activity levels, and stage of change for physical activity behavior were collected. Logistic regression and marginal structural model analysis (by inverse probability of treatment weighting {IPTW} using a generalized estimating equation {GEE} to investigate the relationship between physical activity and prevalence of NCDs) were done using IBM SPSS v20 software (Armonk, NY: IBM Corp.). Statistical significance was tested at p=0.05. A total of 1221 subjects participated. The mean age was 35.25 years and 71.9% were physically inactive. General caste, presence of NCD, and being in a static stage of change influenced physical activity positively. PI was found to be a risk factor for NCD with 1.54 times higher odds in this population. The study concluded that the prevalence of physical activity was low and PI was a causative factor for NCD.

Biomolecules and Electrochemical Tools in Chronic Non-Communicable Disease Surveillance: A Systematic Review

Over recent three decades, the electrochemical techniques have become widely used in biological identification and detection, because it presents optimum features for efficient and sensitive molecular detection of organic compounds, being able to trace quantities with a minimum of reagents and sample manipulation. Given these special features, electrochemical techniques are regularly exploited in disease diagnosis and monitoring. Specifically, amperometric electrochemical analysis has proven to be quite suitable for the detection of physiological biomarkers in monitoring health conditions, as well as toward the control of reactive oxygen species released in the course of oxidative burst during inflammatory events. Besides, electrochemical detection techniques involve a simple and swift assessment that provides a low detection-limit for most of the molecules enclosed biological fluids and related to non-transmittable morbidities.