Sehore District Research Articles

Ichthyofaunal diversity of Ratapani wildlife sanctuary, Raisen and Sehore district of Madhya Pradesh

The present study has been conducted to assess the Ichthyofaunal biodiversity from different localities of Ratapani Wildlife Sanctuary, Raisen and Sehore district of Madhya Pradesh. The surveys were conducted different localities of the study areas during September 2022 to January 2024. The results of present investigation revealed the occurrence of 70 fish species belonging to 12 orders 27 families and 42 genera. The members of Order Cypriniformes were dominated by 35 species with five families followed by Siluriformes 14 species with six families, Anabantiformes 7 species in four families, Synbranchiformes 3 species in one family. The orders Perciformes, Osteoglossiformes and Cichliformes 2 species each were recorded. The other orders Angullifromes, Beloniformes, Clupeiformes, Cypronidontiformes, Gobiiformes 1 species each were also recorded from the study area. The results of this study are promising; it sheds light on the unknown fish biodiversity of Ratapani Wildlife Sanctuary, which needs to be strengthened through comprehensive future surveys.

Remote coaching for supporting the implementation of treatment for depression in primary care in Madhya Pradesh, India: protocol for a cluster randomized controlled trial.

Upwards of ninety percent of individuals living with depression in India do not have access to evidence-based treatments, especially in rural areas. Integrating these treatments into primary care is essential for bridging this care gap. This trial aims to evaluate whether a remote coaching implementation support strategy, referred to as Enhanced Implementation Support, is superior to routine support, referred to as Routine Implementation Support, in supporting the delivery of collaborative depression care in rural primary care centers. Employing a cluster-randomized hybrid type-III implementation trial design, 14 primary care facilities in Sehore district, Madhya Pradesh, will implement a collaborative depression care package based on the WHO's mhGAP program. Facilities will be randomized to either Enhanced Implementation Support or the Routine Implementation Support control condition. Enhanced Implementation Support consists of remote coaching and technical assistance, supplemented with in-person visits, and guided by the Plan-Do-Study-Act implementation cycles. The primary implementation outcome is the proportion of outpatients screened for depression by facility staff, with secondary outcomes including the proportions of outpatients who screen positive for depression, are referred to the medical officer, and initiate treatment. Secondary patient outcomes include proportion of patients who achieve reduction in depression symptom severity at 3-month follow up. Acceptability, feasibility, and fidelity of the depression care package will be assessed through routine observations collected during field visits, facility audits, and qualitative exit interviews with facility staff. Costs of delivering the Enhanced Implementation Support strategy will also be estimated. This trial can inform efforts to integrate depression care in rural primary care facilities in a low-resource setting, and illuminate whether external coaching support is superior relative to existing implementation support for achieving these goals. NCT05264792.

THE IMPACT OF SKILL-BASED LEARNING ON EMPLOYMENT IN SEHORE DISTRICT, MADHYA PRADESH

This paper investigates the role of skill-based learning in influencing employment outcomes within the context of Sehore District, Madhya Pradesh, India. With the district's unique economic environment and local industries, understanding the relationship between skill development and employment becomes imperative. This study aims to explore the effectiveness of skill-based learning in enhancing employability, fostering career advancement, and addressing the specific needs of Sehore's job market. Through a combination of literature review, and empirical analysis,, this paper seeks to provide insights into the potential of skill-based learning to drive positive changes in the local employment scenario

Analysis of School Dropout Girls: a Study of Sehore District of Madhya Pradesh

Analysis of School Dropout Girls: a Study of Sehore District of Madhya Pradesh

“We are everyone's ASHAs but who's there for us?” a qualitative exploration of perceptions of work stress and coping among rural frontline workers in Madhya Pradesh, India

ObjectiveMore than a million female village-level lay providers called ‘Accredited Social Health Activists (ASHAs)’, who deliver primary care, face high levels of stress due to work demands and low compensation, within the context of poverty and gender inequality. Evidence on ASHAs has focused on workplace challenges from a system perspective, without sufficient probing into individual-level stress. This study aims to gain perspectives into the experiences of work stress, the related health symptoms, and the responses to stress among ASHAs in India. MethodsFocus group discussions (FGDs) conducted with ASHAs in Sehore district, Madhya Pradesh, were audio-recorded and transcribed. Grounded theory was used to generate themes under the various domains of ASHAs’ work and domestic life. We identified pathways between the conditions that trigger stressful events, experiences of these events, resulting perceptions, effects on health and wellbeing, and approaches used by ASHAs to respond to stress. ResultsSix FGDs with 59 ASHAs generated the following themes: (a) Facility: Workload, undue pressures, unstructured work; ASHAs’ relationships with seniors (e.g., feelings of being disrespected, blamed, or targeted), and low access to physical and administrative resources; (b) Home: Feelings of guilt for putting less time for family/child care; disrespect by the elderly for a poorly incentivised job; (c) Community: Low acceptance by the villagers; caste- and gender-bias; difficult community-level relationships (emotional labour, fear/stigma towards her services); (d) Somatic and psychological symptoms: headache, exhaustion, depressive symptoms (to cite a few); and (e) Responses to stress: Motivation (support from peers, family, a sense of identity/pride, incentives), Individual strengths (e.g., social responsibility), and spiritual recourse mechanisms. ConclusionsThis study will inform the development of a strengths-based coaching intervention to address work stress among ASHAs. The findings are relevant to building the evidence on alleviation of work stress among female frontline cadres in low-resource settings globally.

Social support and user engagement with task-shared psychological treatments in the real world: Findings from the PRIME India study

PurposeTask sharing in psychological treatments has been recognized as an effective strategy for bridging the global mental health treatment gap. However, more research is needed to better support its implementation in routine care. Mental health services users' engagement with treatment is a crucial implementation factor, yet empirical evidence on its determinants remains sparse. The current study aims to investigate social support as a predictor of users’ session attendance, a key indicator of treatment engagement, within a task-shared psychological treatment. MethodsThis is a secondary analysis of cohort study data from the Program for Improving Mental Health Care (PRIME) implemented in Sehore district, India, where trained non-specialist health workers delivered manualized treatment for depression and alcohol use disorder (AUD; n = 240 in depression cohort, n = 190 in AUD cohort). Quasi-Poisson regression models were used to assess the association between users’ perceived social support at baseline and treatment session attendance at 3-month follow-up, controlling for socio-demographic and clinical characteristics. ResultWithin the depression cohort, a 4-point increase in social support score at baseline predicted a higher number of treatment sessions attended by 3-month follow up (IRR = 1.44, 95% CI: 1.06, 1.93). Within the AUD cohort, we noted insufficient statistical evidence for a weak association between users’ social support and the number of treatment sessions attended in adjusted analysis (IRR = 1.02; 95% CI: 0.69, 1.49). ConclusionOur findings suggest that the implementation of task-shared psychological treatments for depression into routine care may be enhanced by strategies that activate or build upon the functional roles of users’ social support.

An Evaluation of the Challenges Farmers Face in the New Era of E-Commerce: A Study of the Sehore District in Madhya Pradesh, India

Agriculture is the one of the most significant solution to the inclusive development of any country. The internet keeps on becoming more widespread among people who transact with the agricultural business. The inadequate health crisis about COVID 19 has exaggerated all communities Frontline Health Responders are a priority for countries in saving the lives of the people suffering from this disease. The purpose of the study is to examine the E-commerce sources selected for the agriculture sector and challenges faced by the farmers. E-Commerce has succeeded a major break in the agriculture sector. Now a day's internet becomes more popular among all customers. Some people use the internet for agriculture or irrigation. There are increasing awareness of the software and hardware among farmers. The thing which is needed is the internet with both the parties i.e. the one that is buying and therefore the one that is selling. My study is focused on the agriculture marketing & challenges faced by farmers by using E-commerce in agriculture sector .While examining the current scenario, farmers in India fail to make a living. Farmers are manipulated by so many intermediaries in Indian Farming Marketing. We used the sample size through which we build up a building of questions with multiple choices in answers but it is optional for the samplers who participate in this survey.

Assessment of fish biodiversity in relation to physico-chemical characteristics of Kolar River, Madhya Pradesh, India

The present study was conducted on the Kolar River, a tributary of the Narmada River. The fish diversity of the Kolar River in the Sehore district of Madhya Pradesh, Central India, is represented in this view. It was investigated from February 2021 to June 2022. The Kolar River is a vital source of water for the people who live in nearby villages, primarily for domestic use. In the community, fishing for a living and food is a common practise. The study's goal was to investigate the Kolar River's water quality and fish fauna. During the investigation, six sampling stations were chosen for the collection of data: Near reservoir, Lawakhadi, Veerpur, Near old bridge, Dana baba temple, Amdoh, and Jholiyapur.The study discovered 25 fish species from eight orders (Cypriniformes, Siluriformes, Perciformes, Osteoglossiformes, Synbranchiformes, Clupeiformes, and Beloniformes). Cypriniformes are the dominant order of fishes in this area (Kolar), with the highest number of ten species recorded. The recorded fishes were found to be widely distributed and abundant in the river.

Experimental analysis of particle size distribution using electromagnetic sieves shaker

The present study conducted the Kolar River basin, a tributary of the Narmada River in the Bhopal division of Sehore district, Madhya Pradesh, India, from May 2021 to June 2022 with the hope of better understanding the texture of sediment. The samples were collected from six stations using a grab sampler during the study. Using sieve analysis technique, passing percentage of soil grains is found to be 55% of Sand, 25% of silt and 20% of clay respectively. Grain size of soil types were measured to be in the range of 4.056 mm to 0.045 mm exhibiting the grain size gradation from corse sand to clay. The main objective of this study is to determine the average particle size and find their distribution pattern for the given granules by sieve analysis method.

Assessment of socio-economic status of the Kolar River fisher communities in Sehore district, Madhya Pradesh, India

Fisheries play an important role in supporting livelihoods and providing food for over one billion people around the world. The study aims to better understand fishermen's livelihood patterns in the Kolar River basin, a tributary of the Narmada River in Madhya Pradesh, India. The current study was conducted from September 2020 to June 2022 to assess the livelihood status of the traditional fishing community of the Kolar River adjacent to the Bhopal region. During the study period, data were collected from 14 villages as well as Veerpur, Amdoh, Lawakhadi, Jholiyapur, Jharpipli, Lohapathar, Magarpath, Saras, Dabri, Balondiya, Bawadia, Khaamkhera, Sallikhera, and Jivantal near the Kolar River stretch via a well-structured questionnaire survey. A total of 200 fishermen were chosen at random to be interviewed. The findings of the study revealed some fascinating information. The majority of the fishermen ranged in age from 24 to 55, with 70% being joint and 30% nuclear. Almost 71% of the fishermen were illiterate, relying on the village government school and hospital (which served as a secondary school for the rest of the population). To catch fish, they use trap gill nets and cast nets. According to the investigation, the majority of the houses (65%) were Kaccha, with Pakka houses housing 27% of the people. It was discovered that fish farmers were dealing with a variety of issues, including social, economic, and technical issues.

Runoff modeling in Kolar river basin using hybrid approach of wavelet with artificial neural network

AbstractIn this paper, the Kolar River watershed, Madhya Pradesh is taken as the study area. This study area is located in Narmada River in Central India. The data set consists of monthly rainfall of three meteorological stations, Ichhawar, Brijesh Nagar, and Birpur rainfall stations from 2000 to 2018, runoff data at Birpur and temperature data of Sehore district. In this paper, radial basis function neural network models have been studied for generation of rainfall–runoff modeling along with wavelet input and without wavelet input to the RBF neural network. A total of 15 models were developed in this experiment based on various combinations of inputs and spread constant of RBF model. The evaluation criteria for the best models selected are based on R2, AARE, and MSE. The best predicting model among the networks is model 8, which has input of R(t-1), R(t-2), R(t-3), R(t-4), and Q(t-1). For the RBFNN model, the maximum value of R2 is 0.9567 and the lowest values of AARE and MSE are observed. Similarly, for the WRBFNN model, the maximum value of R2 is 0.9889 and the lowest values of AARE and MSE are observed. WRBF performs better than RBF with any data processing techniques which shows the proposed model possesses better predictive capability.

Evidence to Practice for Mental Health Task-Sharing: Understanding Readiness for Change among Accredited Social Health Activists in Sehore District, Madhya Pradesh, India.

Involvement of community health workers (CHWs) within task-sharing to bridge the mental health treatment gap has been proven to be efficacious in randomized controlled trials. The impact of mental health programs based on task-sharing paradigm greatly depends on the performance of CHWs which, in-turn, is influenced by their readiness for change. However, there is dearth of literature assessing the role of readiness for change as an important predicator of CHW performance. The aim of this study is to examine the applicability of the readiness for change model and investigate its cultural and contextual nuances among Accredited Social Health Activists (ASHAs), a cadre of CHWs in India, to understand their engagement in mental health task-sharing. We conducted in-depth, semi-structured interviews with a purposive sample of n = 12 key informants including ASHAs and other healthcare professionals in Sehore district, India. The interview guide consisted of open-ended questions based on the readiness for change factors including ASHAs' attitudes towards their role in mental health care, perception of capability to implement mental health task-sharing, of support from the public health system, etc. Framework analysis with a combined inductive-deductive approach was employed to code the data and generate themes. Participants endorsed three readiness for change themes relevant to task-sharing among ASHAs including change valence or value ascribed to task-sharing, change-efficacy or the perceived ability to implement task-sharing, and job valence or value ascribed to their regular job role. In addition, they provided insights into the culturally and contextually salient aspects of these factors. Themes of personal empowerment, gaining respect and trust from community, professional duty, relationship with supervisors, and lack of resources availability were majorly highlighted. This is the first study to qualitatively investigate the applicability of the readiness for change model and its culture- and context-specific nuances among a cadre of non-specialist health workers in India. Our findings posit that implementation science models should strongly consider the culture and context within which they are being applied to enhance fit and relevance. Further, our results should be taken into consideration to adapt and validate measurement tools and build readiness for change in this population.

Mitigating future climate change effects on wheat and soybean yields in Central region of Madhya Pradesh by shifting sowing dates


 The present work focuses on (1) estimation of future yield of wheat and soybean crop under RCPs scenario 2.6, 4.5 and 8.5 for years 2020, 2050 and 2080 using FAO AquaCrop yield simulating model and (2) assessment of shifting planting date as adaptation measure to mitigate climate change impact for Sehore district, Madhya Pradesh. Statistically downscaled General Circulation Model CanESM2 data was used as input to AquaCrop for generation of future data. The AquaCrop yield model was first checked for its suitability and accuracy in prediction of yield for years 2000–2015, model nash sutcliffe efficiency 0.79, 0.84, RMSE 300.7, 104.4 and coefficient of determination (R2) 0.91, 0.88 were obtained for wheat and soybean crops, respectively. The results depicts that RCP 8.5 shows the highest impact with reduction in wheat and soybean yield for projected year 2080. Under the changed climate, shifting planting date from of wheat from 15th November to 30th November and 1st July to 10th July for soybean resulted in least decline in crop yields and surfaced as a practical adaptation measure for sustaining future yields.

A Study on Job Performance of Anganwadi Workers under ICDS Scheme in Sehore District of Madhya Pradesh

A Study on Job Performance of Anganwadi Workers under ICDS Scheme in Sehore District of Madhya Pradesh

КОЛИЧЕСТВЕННАЯ ОЦЕНКА ВЛИЯНИЯ ИЗМЕНЕНИЙ КЛИМАТА НА ЭВАПОТРАНСПИРАЦИЮ И УРОЖАЙНОСТЬ СЕЛЬСКОХОЗЯЙСТВЕННЫХ КУЛЬТУР В ЦЕНТРАЛЬНОМ РАЙОНЕ ИНДИИ

The present work focuses on estimation of future evapotranspiration of paddy, maize, soybean and assessment of yields of these crops under RCP scenarios 2.6, 4.5, and 8.5 for years 1997-2099 using FAO Cropwat and AquaCrop yield simulating models for the Sehore district, in central state of India. Statistically downscaled General Circulation Model CanESM2 data were used as input to Cropwat and AquaCrop tools for generation of future crop evapotranspiration and crop yield data. The AquaCrop yield model was first checked for its suitability and accuracy in prediction of yield for years 1997-2010. The future scenario RCP 8.5 shows the highest reduction in the yield of paddy (-8.5%), maize (-4.52%), and soybean (-3.93%) during the future period. It was concluded that the FAO AquaCrop model can be applied to many other crops as well as in the other regions to formulate proper cropping strategies that will help to decrease the risks due to future climate change.

Knowledge and awareness of farmers with respect to climate change on cropping pattern of vegetable crops in Sehore district of Madhya Pradesh

The present study was confined to Sehore district of Madhya Pradesh. Sehore district which is situated in the west part of the Madhya Pradesh lies between latitudes 30o33’ and 23o54’ North and longitudes 76o11’ and 78o02’ East. It is surrounded by Dewas and Shajapur districts in the west, Rajgarh district in the North-West and Vidisha district in the North-East. The hill region constitutes about 14 per cent in the Malwa plateau. were selected as a sample of the study with the help of proportionate random sampling method. The Sehore district comprises of 5 blocks namely Sehore, Ashta, Ichhawar, Nasriullaganj and Budhani. Out of these blocks Sehore block was selected due to maximum area covered under vegetable cultivated area. These are 304 villages in Sehore block, out of these 10 villages were selected purposively on the basis of maximum area covered under vegetable cultivation for the study. 12 vegetable growers were selected from each village. Thus, the total 120 vegetable growers were selected as a sample of the study with the help of proportionate random sampling method.

Adoption level of improved soybean production technology in Sehore block of district Sehore, Madhya Pradesh

The adoption of a new technology may have implications for the rest of the farming system, and these attendant changes may be examined in an adoption study. The present study was conducted in the Sehore district of Madhya Pradesh in the year 2018-19.Sehore block was selected purposely for the study,10 village from block and 12 farmers from each village were selected, total 120 farmers were randomly selected. It is found that majority of farmers had partial adoption and characteristics of farmers were positive and significantly related with the adoption level of Improved soybean production technology.

Evaluation of a new set of indicators for mental health care implemented in Madhya Pradesh, India: a mixed methods study

BackgroundMental health information systems are, in general, inadequate and unreliable in India. We have developed key mental health indicators for measuring mental health service coverage in primary care. This study aims to evaluate the use of these new indicators in seven health care facilities in Sehore District of Madhya Pradesh in India.MethodsThe study employed a mixed methods approach. We conducted: a qualitative study (n = 26) with health workers, Health Management Information Systems (HMIS) staff, project coordinators and supervisors; a review of case records (n = 61 at time 1 and n = 74 at time 2); and a structured questionnaire (n = 26) with health workers. The performance, user-friendliness, appropriateness, perceived utility and sustainability of the use of new mental health indicators was assessed.ResultsHigh levels of completion, and correctness of completion, of the new mental health indicators were found for the case records. The simplicity of the forms, as well as technical support from the project team, contributed to acceptability and feasibility of implementation. Perceived sustainability of the new forms was, however, affected by the overstretched primary care staff. Further work is needed to support the integration of mental health with routine HMIS.ConclusionThis study demonstrated that the implementation of key mental health service delivery indicators in Sehore District primary care facilities was feasible. Technical assistance was imperative in maintaining the performance of the indicators over the two studied time points. The integration of mental health indicators in routine health information systems, and political buy-in, are needed to monitor and sustain community mental health programmes in India.

Assessment of wheat variety hi-1605 under limited irrigation conditions in sehore District of Madhya Pradesh

Assessment of wheat variety hi-1605 under limited irrigation conditions in sehore District of Madhya Pradesh

Determinants for Utilization of Post-Partum Intra-Uterine Contraceptive Device: A Cross-Sectional Study

Background: India ranks second in terms of population in the world. Sehore district of Madhya Pradesh has total fertility rate more than or equal to 3.0 and is a Mission ParivarVikas district.Objectives:This study assesses the level of satisfaction amongst the acceptors of Post-Partum Intra Uterine Contraceptive Device (PPIUCD), identify the reasons for removal of PPIUCD, assesses the quality of PPIUCD related counselling given to Antenatal women.Methods: A cross-sectional study was conducted between February to July 2018. The sample included 255 beneficiaries of PPIUCD. Only those women who got PPIUCD inserted before six months were part of the study. In addition, 30 counselling session were assessed to evaluate the quality of counselling.Results: Higher acceptance for PPIUCD was seen among primiparous, expulsion was reported in 10.98% of the cases, abdominal pain was a complaint in 12.94% and bleeding in 21.96% of the women. Majority stated bleeding issues as the reason for removal. Gaps observed during counselling werefailure to offer basket of choices, non-involvement of partner or family member emphasizing the advantages and failure to inform about the limitations and side effects of PPIUCD.Conclusion: Government is taking many efforts in bringing down the TFR. With such low expulsion rates, PPIUCD can be the solution for the countries facing population crises. It can help bring down the high maternal and neonatal mortality.Acceptance for PPIUCD can be improved by counselling the women during antenatal period through dedicated family planning counsellors.