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34 results for “service level”
Supplementary material 1 from: Nedkov S, Nikolova M, Prodanova H, Stoycheva V, Hristova D, Sarafova E (2022) A multi-tiered approach to map and assess the natural heritage potential to provide ecosystem services at a national level. One Ecosystem 7: e91580. https://doi.org/10.3897/oneeco.7.e91580
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Data from: Utilization of health services in a resource-limited rural area in Kenya: prevalence and associated household-level factors
Introduction Knowledge of utilization of health services and associated factors is important in planning and delivery of interventions to improve health services coverage. We determined the prevalence and factors associated with health services utilization in a rural area of Kenya. Our findings inform the local health management in development of appropriately targeted interventions. Methods and Results We used a cluster sample survey design and interviewed household key informants on history of illness for household members and health services utilization in the preceding month. We estimated prevalence and performed random effects logistic regression to determine the influence of individual and household level factors on decisions to utilize health services. 1230/6,440 (19.1%, 95% CI: 18.3%-20.2%) household members reported an illness. Of these, 76.7% (95% CI: 74.2%-79.0%) sought healthcare in a health facility. The majority (94%) of the respondents visited dispensary-level facilities and only 60.1% attended facilities within the study sub-counties. Of those that did not seek health services, 43% self-medicated by buying non-prescription drugs, 20% thought health services were too costly, and 10% indicated that the sickness was not serious enough to necessitate visiting a health facility. In the multivariate analyses, relationship to head of household was associated with utilization of health services. Relatives other than the nuclear family of the head of household were five times less likely to seek medical help (Odds Ratio 0.21 (95% CI: 0.05-0.87). Conclusion Dispensary level health facilities are the most commonly used by members of this community, and relations at the level of the household influence utilization of health services during an illness. These data enrich the perspective of the local health management to better plan the allocation of healthcare resources according to need and demand. The findings will also contribute in the development of community-level health coverage interventions that target the disadvantaged household groups.
Collaborative Care Model for Perinatal Wellness Support Services - Population-Level Equity-Centered Systems Change
ClinicalTrials.gov study NCT06849869. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Method of Levels for People Using Community Crisis Services
ClinicalTrials.gov study NCT05484518. IPD Sharing: NO. Countries: 1. Publications: 0.
Level and Predictors of Trauma-symptoms Among Health Workers and Public Service Providers During the COVID-19 Outbreak
ClinicalTrials.gov study NCT04374097. IPD Sharing: NO. Countries: 1. Publications: 0.
The Effect of Telephone Nursing Education and Counseling Services Given to Satisfaction Level and Self-Care Strength
ClinicalTrials.gov study NCT05487638. IPD Sharing: NO. Countries: 1. Publications: 0.
Modeling the Impact of Inbound Call Distribution Virtualization in Emergency Medical Communication Centers (EMCCs) on Their Service Level
ClinicalTrials.gov study NCT04670835. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
Multi-Level Stigma Intervention for Mental Health Services
ClinicalTrials.gov study NCT06200012. IPD Sharing: YES. Countries: 1. Publications: 0.
Long-Term Effects of Repetitive, Low-Level Blast Exposure on Special Operations Forces Service Members
ClinicalTrials.gov study NCT05183087. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Piloting Use of Multi-Level Pregnancy Tests in Remote Abortion Services
ClinicalTrials.gov study NCT03207880. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Newborns in Level III Services in Alsace From Mothers With COVID-19
ClinicalTrials.gov study NCT05079178. IPD Sharing: Not stated. Countries: 1. Publications: 0.
Data from: Utilization of health services in a resource-limited rural area in Kenya: prevalence and associated household-level factors
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Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability
<p>This dataset is used for the working paper 'Service Level Anchoring in Demand Forecasting: The Moderating Impact of Retail Promotions and Product Perishability,' authored by Fahimnia, Tan, and Tahirov. The data was collected during a laboratory experiment designed based on data from a real case in the fast-moving consumer goods (FMCG) industry. Each subject was assigned to one of the following treatment groups:</p> <p> </p> <ul> <li>T1 (control group) - forecasts were made for a <strong>nonperishable</strong> product (shelf life of 9 months), with <strong>no service level</strong> information.</li> <li>T2 - forecasts were made for a <strong>nonperishable</strong> product, with a <strong>high service level </strong>information.</li> <li>T3 - the forecasts were still for a n<strong>onperishable</strong> product, with a<strong> lower service level </strong>information.</li> <li>T4 - forecasts were made for a <strong>perishable</strong> product, with <strong>high service level</strong> information.</li> <li>T5 - forecasts were made for a <strong>perishable</strong> product, with <strong>low service level</strong> information.</li> </ul> <p> </p> <p>A total of 313 subjects prepared four forecasts each. For each forecast, a subject was provided with 30 weeks of sales data, including both normal and promotional weeks. The promotional weeks were highlighted as 'Promo.' The subjects were asked to provide their forecasts for week 31, basing their forecasts solely on historical data and potential sales promotions. Mean absolute percentage error (MAPE) was used to assess the accuracy of the forecasts. Percentage forecast bias was used to measure the deviation of adjusted forecasts from the normative benchmark forecast.</p> <p>The new version of dataset includes three Excel files:</p> <ul> <li>Excel file 1 (“DataSet.xlsx”) – This file contains the average adjusted forecast for each subject during both the promotional and non-promotional periods, along with other data such as demographic information, calculated MAPE, forecast bias, service level, and product perishability.</li> <li>Excel file 2 and 3 (“Pool_1_Perishable” and “Pool_2_Non perishable”) - These files contain all the real datasets for perishable and non-perishable products used during the experiment.</li> </ul>
Tele-homecare Service for Diabetic Foot Patients (Risk 0, Risk 1 and Risk 2 Level): Testing and Validation of Dedicated APPs and Artificial Intelligence Solutions
ClinicalTrials.gov study NCT05829811. IPD Sharing: NO. Countries: 0. Publications: 0.
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