Field Staff Research Articles

Your Body, My Business: Risk Governance in A Psychiatric Nursing Home.

A crucial long-term care resource for individuals with severe mental illness (SMI) in Taiwan is provided by psychiatric nursing homes. Given the higher incidence of physical illnesses and accidents among individuals with SMI, ensuring patient safety is an important aspect of quality care. However, there is limited literature exploring how the staff provides safe care for individuals with SMI. Investigates how the staff in a psychiatric nursing home managed residents' activities to mitigate risks and reduce physical injuries. Using a qualitative approach and drawing from Foucault's concept of 'disciplinary power', data were collected from field observations and staff interviews. Three themes emerged: (1) a gaze for efficiency, where checklists, timetables and spatial arrangements were used to efficiently manage residents' bodies; (2) controlling the deviant body, which entailed procedures to monitor and prevent risk behaviours and bodily signs through broad safety measures and (3) your body, my business, which described the reduced autonomy of residents over their behaviours as the responsibility largely shifted to the staff. The predominant risk management framework, driven by safety considerations, comprises residents' autonomy and undermines compassionate caring. Risk management should actively involve both staff and residents in decision-making.

Research progress on electronic health records multimodal data fusion based on deep learning

Currently, the development of deep learning-based multimodal learning is advancing rapidly, and is widely used in the field of artificial intelligence-generated content, such as image-text conversion and image-text generation. Electronic health records are digital information such as numbers, charts, and texts generated by medical staff using information systems in the process of medical activities. The multimodal fusion method of electronic health records based on deep learning can assist medical staff in the medical field to comprehensively analyze a large number of medical multimodal data generated in the process of diagnosis and treatment, thereby achieving accurate diagnosis and timely intervention for patients. In this article, we firstly introduce the methods and development trends of deep learning-based multimodal data fusion. Secondly, we summarize and compare the fusion of structured electronic medical records with other medical data such as images and texts, focusing on the clinical application types, sample sizes, and the fusion methods involved in the research. Through the analysis and summary of the literature, the deep learning methods for fusion of different medical modal data are as follows: first, selecting the appropriate pre-trained model according to the data modality for feature representation and post-fusion, and secondly, fusing based on the attention mechanism. Lastly, the difficulties encountered in multimodal medical data fusion and its developmental directions, including modeling methods, evaluation and application of models, are discussed. Through this review article, we expect to provide reference information for the establishment of models that can comprehensively utilize various modal medical data.

Capillary drops, capillary pooled, and venous blood samples for determining hemoglobin concentration using HemoCue: A measurement system analysis.

Several external and internal factors can affect the performance and variability of Hemoglobin concentration [Hb] measurements using HemoCue, and documentation on the contribution of different sources of [Hb] variation is limited. We used an experimental repeated measurements design with nine randomly selected participants, three HemoCue devices, and three trained field workers. HemoCue measurements for all samples were repeated three times. The [Hb] measurement system considers four sources of error: 1) HemoCue devices, 2) field workers, 3) between individuals, and 4) within individuals. A concordance analysis was used to assess accuracy and precision, and a linear mixed model was used to estimate mean differences (bias) from blood specimens, anticoagulants, and to estimate the contribution of the 4 sources of error to [Hb] measurements. Positive mean [Hb] differences were found: 1.34 g/dL for capillary drops, 0.81 g/dL for pooled capillary blood samples, 0.756 g/dL for venous blood stored with EDTA, and 0.911 g/dL for venous blood stored with heparin. The mean [Hb] difference for venous blood with EDTA was used as a correction factor for all results measured using a HemoCue. After adjustment, capillary drops showed a mean difference of 0.585 g/dL, and pooled capillary samples were not significantly different. The individual variability was 95.8% of total variance, HemoCue devices contributed 2.1% of measurement error, field staff contributed 0.4%, and the residual was 1.7%. The HemoCue [Hb] measurement system is reliable in controlled environments, with a small measurement error of 4.2%.

Effect of a participatory whole-systems approach on mortality in children younger than 5 years in Jigawa state, Nigeria (INSPIRING trial): a community-based, parallel-arm, pragmatic, cluster randomised controlled trial and concurrent mixed-methods process evaluation

In 2019, Nigeria reported the highest mortality rate in children younger than 5 years globally. We aimed to assess a whole-systems approach to improving child mortality in northern Nigeria. We conducted a community-based, parallel-arm, pragmatic, cluster randomised controlled trial in Kiyawa local government area, Jigawa state, Nigeria, and a concurrent mixed-methods process evaluation using ethnography and quantitative implementation monitoring. Trial clusters were population catchment areas of 32 government primary health-care facilities. Compounds were randomly sampled, proportional to cluster size, and all women aged 16-49 years and children younger than 5 years who were permanent residents were eligible for inclusion and recruited as the evaluation population. Children younger than 7 days were recruited but excluded from analysis. Evaluation clusters were allocated to intervention or control via simple randomisation with a 1:1 ratio. Cluster names were written on paper, folded, and placed in a container by community representatives. Different community representatives took out names one by one, with the first half assigned to receive the intervention. The intervention consisted of three components: participatory learning and action (PLA) groups for men and women (including compound heads [ie, the member of the compound that residents deemed most senior]), partnership defined quality scorecard (PDQS), and health-care worker capacity building; it was delivered from March 1, 2021, to Dec 31, 2022. We could not mask participants, field staff, or intervention-delivery staff to cluster allocation but baseline, endline, and follow-up data excluded information on cluster allocation. PLA groups involved separate groups of up to 25 men or women from all villages in the intervention clusters. The primary outcome was all-cause mortality in children aged 7 days to 59 months between Oct 1, 2021, and Sept 20, 2022, referred to as the evaluation period. The trial was prospectively registered (ISRCTN 39213655) and the protocol has been published. We recruited 3800 compounds at baseline, with 12 893 children contributing to analysis of the primary outcome (7316 [56·8%] of 12 893 in the intervention group and 5577 [43·3%] in the control group). 6617 (51·3%) of 12 893 children were male, 6275 (48·7%) were female, and one (<0·1%) child had missing sex data. Sampled compounds randomly came from 388 (91·3%) of 425 villages in the 32 clusters. We conducted verbal autopsies for 1182 deaths, of which 369 (31·2%) were children aged 7 days to 59 months during the evaluation period. Of these 369, 91 (24·7%) were classified as pneumonia deaths. Children contributed a median 361 days (IQR 236-365) to the analysis, with 369 (2·9%) of 12 893 children censored on their date of death, 1545 (12·0%) on their 5th birthday, and 3392 (26·3%) on the date of the most recent follow-up in which their residence or survival status was known. We found no significant decrease in all-cause mortality (hazard ratio 0·95, 95% CI 0·68-1·33; p=0·79) or suspected pneumonia mortality (0·79, 0·43-1·46; p=0·46) in the intervention group. The process evaluation showed low coverage and issues in reach of the intervention, but qualitative data highlighted mechanisms for positive effects on health and relationships. Our intervention did not affect mortality. However, due to the high child mortality in this region, further efforts should be made to adapt our participatory whole-systems approach to use communities of action within compounds. GSK and Save the Children UK. For the Hausa translation of the abstract see Supplementary Materials section.

Supporting Research Staff Working With People Experiencing Homelessness: Integrating Trauma-Informed and Resilience-Building Approaches Into Community-Engaged Research Studies.

Traumatic experiences are highly prevalent among people experiencing homelessness who face structural inequities, which may impact engagement in research. Research staff ("staff") working with people experiencing homelessness are under-equipped to cope with structural inequities and the trauma present in participants' lives, even if they are well-trained in the regulatory aspects of the research process. Six staff involved in tobacco cessation intervention research with people experiencing homelessness described their experiences and highlighted areas of training to integrate trauma-informed and resilience-building approaches to support field staff and people experiencing homelessness. We identified three themes: (a) impact of trauma on the research process; (b) the importance of engagement with community partners and participants; and (b) the need for a field worker's guide. Staff described being the bearers of participants' traumas, while also coping with their own vicarious traumatization. Staff believed they would benefit from a fieldworker's guide that includes best practices for engagement with community partners as well as trauma-informed approaches like training in trauma-informed care and tools to address vicarious traumatization. Resilience-building approaches include real-time debriefing to celebrate successes and troubleshoot problems in the field. Training in resilience-building can be integrated as part of the general training required of all research staff prior to conducting intervention research studies with people experiencing homelessness. These approaches may need institutional support to be integrated into standard research workflows. In doing so, they may not only safeguard research staff and participants but also promote research as a means to dismantle inequities by being inclusive, safe, and empowering.

Police Involvement in Out-of-Hospital Cardiac Arrest: A Qualitative Exploration of Law Enforcement Roles and Contributing Organizational Factors

Objectives Many American police organizations respond to out-of-hospital cardiac arrest (OHCA). This study sought to: 1) explore variation in the role of police in OHCA across emergency medical systems and 2) identify factors influencing this variation. Methods We conducted a qualitative multisite case study analysis using data collected through semi-structured key informant interviews and multidisciplinary focus groups with telecommunicators, fire, police, emergency medical services, and hospital personnel across nine Michigan emergency systems of care. Sites were sampled based on return of spontaneous circulation rates, trauma region, geography, rurality, and population density. Data were analyzed to examine police role in OHCA and the organizational factors that contribute to these roles. Transcripts and coded data were explored using iterative thematic analysis and matrices. Results Interviews included approximately 160 public safety informants of varying administrative levels (i.e., field staff, mid-level managers, and leadership). Across systems, police played four on-scene roles in OHCA response: 1) early responder, 2) resuscitation team member, 3) security, and 4) information gathering. Less consistently, police performed supplementary roles as telecommunicators and cardiac arrest educators. We found that factors including administrative structure of the police agency, resources (e.g., human and material), organizational culture, medical training, deployment and response policies, nature of response environment, and relationships with other prehospital stakeholders contributed to the degree certain roles were present. Conclusions Police serve numerous on-scene and supplementary roles in OHCA response across jurisdictions. Their roles were influenced by multiple factors at each site. Future studies may help to better understand the value of and how to optimize police engagement in OHCA response.

Abstract P403: Implementation of Knowledge Exchange Sessions to Catalyze Advancement of Sustainable Community-Clinical Relationships that Prioritize Hypertension Control.

Introduction/Background: The American Heart Association’s National Hypertension Control Initiative (NHCI) collaborated with public health champions by participating in Learning Collaboratives (LC) in five regions across the United States to address hypertension through LC groups that facilitated the exchange of best practices and lessons learned. LCs convene stakeholders for expert-led sessions to promote collaboration in the health care ecosystem. Research Questions/Hypothesis: LCs can be an effective way for national initiatives to convene in expert-led sessions on best practices in hypertension control, including the advancement of Community-Clinical Linkages (CCL) by fostering collaboration among diverse health care stakeholders. Methods/Approach: NHCI planned to convene stakeholders in 5 regions to learn how they operationalized the Centers for Disease Control and Prevention CCL approach. Areas were chosen based on criteria such as highly engaged NHCI Community Health Centers, NHCI funded community-based organizations with strong administrative capacity, a robust community health worker network, and active Primary Care Associations. Local assessments conducted during the planning phase led NHCI to pivot and collaborate with existing LCs instead of initiating new ones. During these LCs, NHCI conducted listening sessions to enhance collaboration and community-health center integration through knowledge exchange discussions and co-learning experiences. Results/Data: NHCI staff worked with local field staff to understand community needs. They leveraged trusted relationships with public health champions to identify LCs for conducting listening sessions. The local field staffs’ strong relationships with public health advocates presented NHCI with opportunities to plan meetings to obtain the buy-in for the listening sessions. NHCI conducted 6 listening sessions in 5 regions. Engagement in local LCs provided insight on operationalizing CCLs to address hypertension. Stakeholders exchanged best practices, lessons learned, strategies, and social determinants of health to advance CCLs for hypertension control. Conclusion(s): Leveraging trusted relationships and participating in existing LCs is key to conducting successful listening sessions around best practices in hypertension control, including the advancement of Community-Clinical Linkages.

Mobile Applications for Effective Management of Field Staff Tasks

Mobile Applications for Effective Management of Field Staff Tasks

Spelling Bees for Improving Students' Pronunciation Skills

Correct pronunciation is a crucial aspect of learning English that is often challenging for many students. Traditional methods of teaching pronunciation usually need to be more interesting and exciting for students, so a more innovative and interactive approach is required. This research aims to determine the effectiveness of the Spelling Bee in improving students' speaking pronunciation. This quantitative method uses quasi-experimental research applied to ninth-grade junior high school students. This research uses an experimental group and a control group. The experimental group consisted of 22 students of 10 men and 12 women, while the control group consisted of 22 students of 13 men and 9 women. In collecting data, pretest and posttest were used to determine the improvement in students' speaking pronunciation. The data analysis technique uses inferential statistical analysis. The research results show that the Spelling Bee can be an effective strategy in helping EFL students improve their pronunciation skills. This research implies that research contributes to improving the quality of English language teaching and learning and the development of professionalism of teaching staff in the language field.

Analisis Dampak Kebingaran Mesin Pesawat Bagi Petugas Marshaller di Bandar Udara Internasional Blimbingsari Banyuwangi

The number of aircraft in Indonesia drives both the national and global aviation industries. The government and airport management must enhance the quality, performance, safety, security, and economic development of airports. Blimbingsari International Airport in Banyuwangi supports air transportation in Rogojampi, Banyuwangi; however, advancements in aviation facilities can increase air pollution and noise, disrupting community activities and degrading environmental quality. Aircraft movements require coordination, including the role of marshallers who must use Personal Protective Equipment (PPE) and adhere to Occupational Health and Safety (OHS) protocols for safety. Noise reduction efforts at the airport must comply with the maximum limit of 55 dBA in residential areas. This qualitative case study investigates the impact of aircraft engine noise on the hearing of marshallers at Blimbingsari International Airport in Banyuwangi. Primary data were obtained from direct observation and interviews, while secondary data were sourced from regulations and relevant documents. The findings indicate that noise levels at the airport range from 34-66 dB(A) and do not significantly impact the health of nearby residents or operational staff. The authors recommend that the airport management regularly check the readiness of field staff, enhance equipment and the availability of first aid kits (P3K) in the AMC Unit, and ensure the quality of PPE and health guarantees for operational staff, particularly in the AMC division (Marshallers, Ramp Handling).

Assessing wayside traffic noise levels using long-term noise monitoring and available Department of Transportation traffic data - worst-case noise traffic conditions, effects of repaving, and methods for comparing traffic noise data sets

The availability of automated continuous traffic data from State Departments of Transportation (DOTs), such as the California Department of Transportation (Caltrans) Performance Measurement System (PeMS), provides increased opportunities for the analysis of highway noise. Traffic data that is free to access and downloadable via the internet can be matched with unattended long-term noise measurement data to provide large datasets for analysis, without requiring field staff to be continuously on site. A 2018 ICF/Caltrans paper documented how this approach was used on an operating freeway to determine the volume of traffic that results in the highest one-hour energy average traffic noise level. At the time of those measurements, the subject freeway had Portland cement concrete pavement. The freeway has since been repaved with an open-graded rubberized asphalt concrete pavement overlay. The current study uses new (2023) traffic noise measurements and PeMS data to investigate how worst-noise conditions have changed and the effect of the repaving on wayside noise levels. Changes in traffic patterns since 2018 required the authors to normalize the measurement data for comparison. Opportunities were identified to take advantage of the large measurement data sets to match before-and-after data, and those methods are also described in this paper.

The FLuorometholone as Adjunctive MEdical Therapy for Trachomatous Trichiasis Surgery (FLAME) Trial: Study Design.

To report the design of FL uorometholone as A djunctive ME dical Therapy for TT Surgery (FLAME) Trial. Parallel design, double-masked, placebo-controlled clinical trial with 1:1 randomization to fluorometholone 0.1% eyedrops twice daily or placebo twice daily for four weeks in eyes undergoing trachomatous trichiasis (TT) surgery; assessing the efficacy, safety, and cost-effectiveness of fluorometholone 0.1% in preventing recurrent postoperative trichiasis. Up to 2500 eligible persons with trachomatous trichiasis (TT) undergoing lid rotation surgery will be enrolled in Jimma zone, Ethiopia. Participants, surgeons, study field staff, and study supervisors leading operational aspects of the trial are masked to treatment assignment. Randomization is stratified by surgeon, which simultaneously stratifies by the district. The study visits are at baseline/enrollment, at four-week post-enrollment, six months, and one year (study exit). The primary outcome is cumulative one-year postoperative TT (PTT) incidence, defined as: ≥1 lashes touching the globe, evidence of epilation, and/or repeat TT surgery. Secondary postoperative outcomes include number of trichiatic lashes, location thereof (touching the cornea or not), evidence of post-operative epilation, entropion, changes in corneal opacity, IOP elevation, need for cataract surgery, visual acuity change from baseline, eyelid contour abnormality, granuloma, eyelid closure defect, and occurrence of adverse events. Health economic analyses center on calculating the incremental cost per case of PTT avoided by fluorometholone treatment. The FLAME Trial is designed to provide evidence of the efficacy, safety, and cost-effectiveness of adjunctive topical peri-/postoperative fluorometholone 0.1% therapy with trichiasis surgery, which is hypothesized to reduce the risk of recurrent trichiasis while being acceptably safe. Trial Registration: ClinicalTrials.gov # NCT04149210.

Identification and prediction method for acoustic emission and electromagnetic radiation signals of rock burst based on deep learning

With the deep development of underground rock engineering, the threat of rock burst disasters is increasing. At present, the identification and prediction of rock burst mostly rely on the experience of field staff to determine the critical value and development trend, and there is a lack of efficient and intelligent methods for the utilization of massive data. Therefore, this paper constructs a rock burst signal recognition and prediction model based on deep learning methods to solve the above problems. In this paper, the acoustic emission (AE) and electromagnetic radiation (EMR) data of the site are first marked and input into the long-short-term memory-fully connected neural network model to realize the identification of rock burst danger signals. Then, the graph data of the AE and EMR sensor monitoring networks are constructed and input into the spatiotemporal graph convolutional network signal prediction model to predict future monitoring data. Finally, this paper uses the same dataset to compare and analyze several other commonly used deep learning models. The results show that the model constructed in this paper has the best performance in the identification and prediction of AE and EMR signals with rockburst risk. This study can provide theoretical reference for intelligent monitoring and early warning of rock burst in underground rock engineering.

Modification of Risers in Buried Pipe Irrigation System to Improve their Performance

This study identified the problems associated with the design, construction, operation, and maintenance of risers in buried pipe irrigation systems and proposed a modified design. The problems of buried pipe irrigation systems were assessed by inspecting three deep tube wells (DTWs) supplying water through buried pipes with twenty-five outlets. One DTW of the Bangladesh Agricultural Development Corporation (BADC) with five outlets in Netrokona, and one with fifteen outlets in Bara Kailati village and one with five outlets in Bali Bazar, both in Netrokona Sadar, were selected. Data were collected from farmers, field staff, and management authorities by employing pretested questionnaires and field investigations. Site visits revealed that the primary problems were the water leakage through outlets and cracks in the riser structure around the outlet. These problems were due to unsuitable outlet design of the buried pipe system. To overcome these problems, the riser design has been modified structurally, that may lead the buried pipe to suitable and durable performance of buried pipe irrigation system and reduce water losses. J Bangladesh Agril Univ 22(2):225-230, 2024

In-group competition for incentives

How can one motivate field staff to meet activity goals on time? Can introducing competition within groups motivate workers to meet goals faster than simply setting targets for workers? We conducted an experiment that assigned temporary field workers for a mobile app registration project into two treatment groups: field workers pursuing individual goals versus competing for a shared group-goal. We measure whether field workers reached their goal, the time to reach the goal, and the number of registered users per field worker. Our model suggests that field workers complete tasks more quickly with in-group competitive targets compared to individual targets. In line with this prediction, we observed that in-group competition led to an increased number of registrations and faster target achievement. Although the effects do not significantly vary by gender, the competition treatment proved more effective for employed individuals, those with less experience, and those with higher ability.

Perceptions and knowledge of ecosystem services in urban river systems, Eastern Cape, South Africa

The ecosystem services concept has been studied in rural contexts but not as much in urban landscapes, particularly for aquatic ecosystems in Africa. There is little knowledge of how people perceive ecosystem services (ES) supplied by rivers in urban centres and the factors influencing their perceptions. To fill this gap, the research presented here addresses two objectives: 1) to assess local communities’ perception and knowledge of different types of ecosystem services of an urban river in South Africa, 2) to assess the influence of particular demographic characteristics (age and gender), socio-economic characteristics (education, housing type, income, and years of residence), and prior knowledge of the ecosystem services concept on people’s perception of the ecosystem services provided by the Swartkops River in the Eastern Cape of South Africa. To address these objectives, a team of ten trained field staff collected 181 surveys between May–June 2021 in communities within the river catchment. We used multinomial logit models to analyse the relationships between demographic and socio-economic variables, and people’s perception of ecosystem services. For the majority of the ecosystem services, there was almost an equal split between the perception “sometimes” and “never” that the river provides a particular ecosystem service, and people were less likely to say that the river always provide a particular service. Prior knowledge of the ecosystem services concept, years of residence, age, income and housing type significantly influence people’s perception of ecosystem services. Prior knowledge, was important for the intangible services, whereas years of residence was more important for tangible services with direct use value. Level of formal education was not a significant variable. An important implication of this study is that ecological interventions can be designed through an understanding of factors influencing people’s perceptions of ecosystem services.

Meeting Gaps in the Public Health Workforce During Emergencies: How a Nongovernmental Organization Supported Critical Staffing Needs in the COVID-19 Response.

The public health workforce continues to experience staff shortages, which hampered the ability of US state, tribal, local, and territorial health departments to respond to the COVID-19 pandemic. In April 2020, the US Centers for Disease Control and Prevention (CDC) awarded $45 million to the CDC Foundation to provide field assignees to support these health departments. To expand these efforts, the CDC provided an additional $20 million in May 2021 for vaccination efforts and $200 million in June 2021 to support COVID-19 response and general infrastructure support. The CDC Foundation worked with jurisdictions across the United States to develop job descriptions based on need and recruit nationally for positions. This expanded project, called the Workforce/Vaccine Initiative, hired 3,014 staff in 91 jurisdictions, with 2,310 (77%) hired by January 2022. Most assignments were fully remote (55%) or hybrid (28%). The largest number of staff (n=720) supported COVID-19 response work in schools. Other common functions included contact tracing/case investigation (n=456), program coordination (n=330), epidemiology (n=297), data and surveillance (n=283), and administrative support (n=220). To advance health equity and improve response efforts, 79 health equity staff were assigned to 30 jurisdictions. To support the needs of tribes, 76 field staff supported 22 tribal entities. This project demonstrated the important role of a flexible, centralized approach to rapid placement of staff in public health departments during an emergency response. While the goal of the Workforce/Vaccine Initiative was to meet short-term staffing needs, lessons learned could provide insights for building a sustainable and scalable public health workforce.

EFFECTIVENESS OF AGRICULTURAL EXTENSION SERVICES IN REDUCING POVERTY AMONG FISH FARMERS IN THE COASTAL REGION OF ONDO STATE, NIGERIA

Agricultural development is the foundation for economic growth and provides a primary means of food security, employment generation, and poverty reduction for Nigerians. These are also the very reasons motivating successive incumbent governments of Nigeria to initiate one type of agricultural intervention program or another to generate employment, attain food security, and aid in poverty reduction. The study assesses the effectiveness of agricultural extension services in reducing poverty among fish farmers in the coastal region of Ondo State, Nigeria. A well-structured interview schedule was used to collect data from the respondents and simple random sampling technique was used in selecting 80 respondents. Data collected was analyzed using frequency counts and percentage while Chi-square and Pearson product moment correlation was used for testing the hypotheses. Results of the socioeconomic characteristics show that more than half (58.7%) of the respondents were adults, male (68.7%), married (78.8%), literate (92.5%), having household size of &lt;7 members (92.5%), earned an annual income of &lt;#1,000,000 (73.7%), and having fish farming experience of &lt;5 years (41.2%). Further analysis shows that catfish is mostly farmed by the respondents in the study area (72.5%), belong to one social group or the other (52.5%), and have access to agricultural extension agents (100%). Similarly, the study findings shows that all the respondents (100%) have access to all the different types of services rendered and the different types of agricultural extension services were rendered to the fish farmers which include technology transfer (93%), information and support services (90%), food safety and quality (89%), marketing and distribution (75%), sustainable fisheries (88%), credit and finance (96%), safety measures (100%), training to fish farmers (97%), input supply (88%), and technical expertise (92%). Furthermore, the types of agricultural extension services utilized by the fish farmers include information and support services (100%), food safety and quality (100%), credit and finance (100%), safety measures (100%), input supply (85%), and technical expertise (100%). Types of constraints militating effective utilization of agricultural extension service rendered identified by the fish farmers include weak linkages of research and training centers with extension workers and users (82%), lack of properly qualified/trained extension personal (100%), inadequate number of grass root workers (98%), lack of clear extension strategies (85%), emphasis on welfare than development (88%), much emphasis on technology than its transfer to end users (75%), inadequate infrastructure facilities (80%), and of the respondents and lack of incentives for field staff (100%). There was positive and significant relationships between respondents’ age (r=0.532; p≤0.05), number of years spent schooling (r=0.589; p≤0.05), household size (r=0.117; p≤0.05), annual income (r=0.515; p≤0.05), fish farming experience, (r=0.146; p≤0.05), and effectiveness of agricultural extension services in reducing poverty. The study recommended that more qualified/trained extension personnel should be employed and adequate incentives should be made available to the field staff.

The Role of Community Engagement in Successful Recruitment of Research Participants During the COVID-19 Pandemic.

Our research team was in the process of recruiting American Indian and Alaska Native (AIAN) women for a community-based intervention to prevent alcohol-exposed pregnancy when the COVID-19 pandemic began. Safety measures adopted at the tribal, state, and national level required us to rethink and revise study protocols. We followed the principles of community-based participatory research, especially community engagement. The goal of this article is to report the recommendations from local AIAN field staff and the community advisory board that enabled us to exceed our prepandemic recruitment goal. First, we developed a list of major adaptations and mapped each one onto our recruitment timeline to assess its effect on subsequent enrollment. Second, we surveyed the two AIAN field staff who led recruitment and an administrative staffer at the study site and conducted a qualitative analysis of their responses. Our revised project timeline presents the major adaptations that led to our successful recruitment, as verified by qualitative data from field staff. These adaptations included expanding our social media presence, expanding recruitment to a nearby urban site, implementing a "refer a friend" program, and recruiting through local media outlets. Most important was having local AIAN staff who cultivated a nonjudgmental space for potential participants to talk about sensitive topics. We not only met our prepandemic recruitment goal but exceeded it by 16.6%. The input of our community advisory board and the efforts of community-based staff were essential in achieving success during the unprecedented conditions of the COVID-19 pandemic.

Assessing the role of plant clinic advisory services in plant health improvement in Chakwal district Punjab

Plant clinic (plant-wise) is a global catalog that Punjab Agriculture Extension is currently implementing to reduce crop losses to improve food security and rural incomes. Plant clinics provide farmers with information that obligates them to lose less of their produce due to pest and disease outbreaks. Plant clinics are held once a week in a village where farmers come to get advice on crops under the protection of a shade. The goal of the desk monitoring was to assess the overall execution and the assistance provided by this initiative. The study covered the district Chakwal, and 225 total participants were randomly selected for data collection in the research area. The data was collected by a well-structured interview schedule consisting of closed-ended and open-ended questions to maintain the quality regarding farmers' perceptions of plant clinics. After data collection, it was analyzed by using SPSS. Descriptive statistical analysis, including frequencies, averages and percentages was undertaken. The results show that 55.6% of the respondents belonged to middle aged. About 60.0% work as private jobs, 44.0% attained matric level education and 60/0% of them were living in a nuclear family. According to 100.0% of the respondents, the plant clinic was providing services about disease management, pest control resources, and integrated pest management. All (100.0%) the respondents reported that extension field staff teaches them methods of weed control, pest identification, fungal and bacteria identification through plant clinic. About 66.7% of the respondents learned the manure application from plant clinic activities. According to 100.0% of the respondents, disease identification and control of the disease were very important. All (100.0%) of the respondents never visited the plant clinic daily. All (100.0%) of them communicated with office calls. The vast majority (90.2%) of the respondents contacted the plant clinic through the farm visit. The majority (82.2%) of respondents disclosed that crop production increased up to 25% with the adoption of the plant clinic services advises. The majority (82.2%) of plant clinics are working with value addition. All (100.0%) of the respondents had awareness about the disease’s services, pest identification &amp; control, seed verities recommendation, and spraying technique services. About all (98.2%) of them also stated that they had increased awareness about the fertilizer’s application services from the plant clinic. The majority (82.7%) of the respondents enhanced awareness about the disease’s services, pest identification &amp; control, seed varieties recommendation, and spraying technique services.