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Administrative Personnel

Administrative personnel are individuals responsible for the management and organization of various administrative tasks and processes within an organization.
They play a crucial role in ensuring the smooth functioning of an organization by handling a wide range of duties, such as coordinating schedules, managing records, and facilitating communication between different departments.
These professionals often possess strong organizational skills, attention to detail, and the ability to multitask effectively.
Their work is essential in supporting the overall operations and efficiency of an organization, allowing other employees to focus on their core responsibilities.
With their expertise in administrative procedures and their understanding of organizational dynamics, administrative personnel are invaluable assets in maintaining a well-functioning workspace.

Most cited protocols related to «Administrative Personnel»

1
German O-LIFE Validation in University Samples
The main sample for the test-theoretical analysis of the German version of the O-LIFE was acquired via an email-invitation sent to all members (students, fellows, and administrative/technical employees) of Justus-Liebig-University (JLU), Giessen (Germany), through oral invitations during lectures by Phillip Grant at JLU and THM (Technische Hochschule Mittelhessen, University of Applied Sciences) as well as from a German grammar school (Erftgymnasium Bergheim, North Rhine-Westphalia) through personal contacts of Phillip Grant. The email/personal invitations contained a link to an online-version of the inventory programmed by the authors using the platform soscisurvey.de. This online-version consisted of the German O-LIFE and several screening questions regarding somatic and psychological health, drug use (with special regard to alcohol and nicotine) and medication status. The main sample consisted of 1228 participants (341 male, 887 female) with age ranging from 17 to 75 years (M = 27.1, SD = 9.47, MD = 24).
The sample for the re-test of the O-LIFE was acquired 3 months later in the same fashion as the main sample, whereby in this case all other questionnaires and items except the O-LIFE were omitted in order to reduce the time necessary for participants to answer the items and thereby increase compliance. The re-test sample contained 245 participants (45 male, 200 female) with an age range from 17 to 58 years (M = 25.83, SD = 8.6, MD = 23).
The sample for genetic associations was acquired through the Giessen Gene Brain Behaviour Project (GGBBP) of the Department of Personality Research and Individual Differences at JLU. The GGBBP contains ca. 1800 datasets of participants including various personality inventories and data on several polymorphisms, whereby for legal reasons only those participants were contacted who had signed a respective consent form within the last 5 years prior to the date of data-acquisition. Therefore, as well as due to a high rate of unreturned invitations to fill in the O-LIFE, only ca. 290 participants could be acquired from the GGBBP. This sub-sample consisted of 288 participants (91 male, 197 female) with an age range from 18 to 51 years (M = 22.9, SD = 4, MD = 22).
All genetic and molecular-biological research was approved by the local ethics committee of the psychological faculty at JLU.
Grant P., Kuepper Y., Mueller E.A., Wielpuetz C., Mason O, & Hennig J. (2013). Dopaminergic foundations of schizotypy as measured by the German version of the Oxford-Liverpool Inventory of Feelings and Experiences (O-LIFE)—a suitable endophenotype of schizophrenia. Frontiers in Human Neuroscience, 7, 1.
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Publication 2013
Administrative Personnel Biopharmaceuticals Brain Diploid Cell Ethanol Faculty Females Genes Genetic Polymorphism Males Mental Health Nicotine Personality Inventories Pharmaceutical Preparations Regional Ethics Committees Reproduction Student
2
MarkVCID: Multicenter Alzheimer's Research
MarkVCID is comprised of seven project sites (Johns Hopkins University School of Medicine [JHU]; Rush Medical Center/Illinois Institute of Technology [Rush/IIT]; Universities of California San Francisco, Davis, and Los Angeles [UC]; University of Kentucky [UKy]; University of New Mexico Health Sciences Center [UNM]; University of Southern California [USC]; and the Cohorts for Heart and Aging Research in Genomic Epidemiology [CHARGE] consortium) and a central coordinating center (Massachusetts General Hospital [MGH]) working with the National Institute of Neurologic Diseases and Stroke (NINDS) and National Institute on Aging (NIA) under cooperative agreements. Consortium decision-making is performed by the MarkVCID Steering Committee, comprised of the contact principal investigator from each of the seven project sites, principal investigator and leads of the Coordinating Center (CC) Administrative and Data Cores, and NIH leadership (CC and NIH participants are nonvoting). A series of MarkVCID subcommittees, comprised of representatives with specialized expertise from the project sites and CC, provide recommendations to the Steering Committee for review and approval. Further input to MarkVCID decisions is provided by an External Advisory Committee selected by NIH and interested non-governmental organizations.
Full lists of the membership of MarkVCID committees and subcommittees are in Supplemental Table 1. Methods reported here for MarkVCID participant enrollment were devised by the Protocol and Operations Standardization Subcommittee, consisting of investigators and administrative personnel with expertise in multicenter patient-based research studies particularly in the areas of stroke, cognitive impairment, and biomarkers. Elements of the MarkVCID clinical evaluation, cognitive testing, and structured instruments were selected by the Clinical and Physiologic Data and Cognitive Assessments Subcommittee, consisting of investigators with cognitive research expertise across areas of neurology, geriatric psychiatry, neuropsychology, and biostatistics. Methods for collection and handling of fluid samples and instrumental validation of fluid sample biomarkers were devised by the Fluid-Based Biomarkers Subcommittee, composed of investigators performing fluid biomarker research. All procedures shown below were adopted by consensus of the proposing subcommittees and the full Steering Committee. Prospective enrollment of participants and acquisition of blood samples occur at six MarkVCID sites: JHU, UC, UKy, UNM, USC, and University of Texas Health Science Center San Antonio (UTHSCA, operating as part of CHARGE). Acquisition of CSF samples occur at JHU, UTHSCA, UKy, UNM, and UC. Rush/IIT, University of California Davis, and other CHARGE sites additionally contribute data and fluid samples from previously enrolled research study participants.
Wilcock D., Jicha G., Blacker D., Albert M.S., D’Orazio L.M., Elahi F.M., Fornage M., Hinman J.D., Knoefel J., Kramer J., Kryscio R.J., Lamar M., Moghekar A., Prestopnik J., Ringman J.M., Rosenberg G., Sagare A., Satizabal C.L., Schneider J., Seshadri S., Sur S., Tracy R.P., Yasar S., Williams V., Singh H., Mazina L., Helmer K.G., Corriveau R.A., Schwab K., Kivisäkk P, & Greenberg S.M. (2021). MarkVCID Cerebral small vessel consortium: I. Enrollment, clinical, fluid protocols. Alzheimer's & dementia : the journal of the Alzheimer's Association, 17(4), 704-715.
Publication 2021
Administrative Personnel Biological Markers BLOOD Cerebrovascular Accident Cognition Disorders, Cognitive Genome Heart Nervous System Disorder Patients physiology
3
Integrated Lifestyle Intervention for Breast Cancer Survivors
Breast cancer survivors who were at least 6 months post-treatment were randomized into four equal sized groups: no intervention, exercise program alone, a weight loss program alone, or the combination of weight loss and exercise programs. All four groups received two lymphedema compression garments and ongoing lymphedema care paid for by grant funds. All activities were reviewed and conducted in accordance with the University of Pennsylvania's Institutional Review Board. All participants provided written informed consent prior to participating in any study activities.
The WISER Survivor interventions took place in hospital cancer centers, community-based health facilities, and YMCAs. The recruiter, project manager, and principal investigator met with primary hospital stakeholders (cancer center staff, physicians, administrative personnel, lymphedema specialists, nurses, and nutritionists) in order to develop partnerships. It took 6-8 months to solidify partnerships, obtain regulatory approvals, and identify administrative staff prior to mailing recruitment letters from an individual hospital tumor registry. Hospitals received NIH research credits for their institution for each participant enrolled in the study.
The exercise intervention included twice weekly strength training for one year, with the first six weeks supervised by certified fitness professionals. The one year weight loss intervention consisted of weekly small group meetings with a registered dietitian for behavioral counselling for the first six months. During the latter six months, groups met once per month. Participants used a food replacement system for the first five months (Nutrisystem, Inc., Fort Washington, PA) and were weaned onto conventional grocery shopping for the remainder of the year. Participants in the combined intervention group attended both the exercise sessions and the weight loss sessions on the same schedule as described above. Eligibility criteria are outlined in Table 1.
Sturgeon K.M., Hackley R., Fornash A., Dean L.T., Laudermilk M., Brown J.C., Sarwer D.B., DeMichele A., Troxel A.B, & Schmitz K.H. (2017). Strategic recruitment of an ethnically diverse cohort of overweight breast cancer survivors with lymphedema. Cancer, 124(1), 95-104.
Publication 2017
Administrative Personnel Breast Cancer Survivors Dietitian Digestive System Eligibility Determination Ethics Committees, Research Lymphedema Malignant Neoplasm of Breast Malignant Neoplasms Neoplasms Nurses Nutritionist Physicians Specialists Survivors Weight Reduction Programs
4
Questionnaire Development for Medical Service Quality
The method of questionnaire modification and development is based on the process of using questionnaire dimensions initially obtained from pre-existing questionnaires and then further developing the questionnaires to better accommodate research objectives and industry characteristics [22 (link)–24 ].
Medical service quality was conceptualized through the evaluation of perceived performance in the following five areas of patient services: facilities and environment, service procedures, and physician, nurse, and administrative personnel performance. The final instrument consists of six items covering facilities and environment, eight items on service procedure, six items on physician performance, five items on nursing staff performance, and five items on administrative personnel. The performance section constituted of thirty items in total. Further, four items addressed treatment effect, two items were included on customer satisfaction, and lastly two items examined the patient’s revisit intent, covering a total of eight construct areas (total 38 items). Each item was rated on 5-point Likert scales ranging from 1, indicating “very dissatisfied” to 5, “very satisfied”.
The questionnaire used in this study was originally based on SERVQUAL. It was modified to concentrate on interpersonal relationship-based medical service evaluation in the service encounter system. The modification reflected expert opinion that the quality of Korean medicine service would be more affected by medical service providers (e.g. physicians, nursing staff) than conventional medicine as it is less influenced by technological advances or facilities. Moreover, satisfaction with service quality does not always correlate with the treatment effectiveness of a medical service. In addition to the theory that better service quality would lead to improved satisfaction and subsequent loyalty, we hypothesized that treatment effectiveness would affect both patient loyalty and service quality satisfaction in medical service, and accordingly added items on treatment effectiveness. In summary, we modified the basic SERVQUAL format with focus on the following:

Interpersonal relationship-based medical service (physician, nursing staff, and administrative personnel)

Effect of service quality on treatment effectiveness

Assessment of the effect of service quality satisfaction and treatment outcome on intent to revisit, respectively

The full questionnaire contents are available in Additional file 1.
Kim C.E., Shin J.S., Lee J., Lee Y.J., Kim M.R., Choi A., Park K.B., Lee H.J, & Ha I.H. (2017). Quality of medical service, patient satisfaction and loyalty with a focus on interpersonal-based medical service encounters and treatment effectiveness: a cross-sectional multicenter study of complementary and alternative medicine (CAM) hospitals. BMC Complementary and Alternative Medicine, 17, 174.
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Publication 2017
Administrative Personnel Koreans Nurses Nursing Staff Patients Pharmaceutical Preparations Physicians Satisfaction
5
Evaluating Permanent Impairment and Return to Work
Workers were potentially eligible for this study if they met inclusion criteria by having (1) an accepted Washington State WC claim (either State Fund or self-insured) that (2) closed between January 1, 2018 and April 30, 2018 with (3) an associated PPD award. Prior to delivering contact information and administrative data for potentially eligible workers to the research team, L&I staff applied six exclusion criteria: (1) no valid phone number on record; (2) under age 18 when injured; (3) fatal or total permanent disability claims; (4) residence outside Washington State; (5) L&I employees and other confidentiality exclusions imposed by L&I; and (6) deceased workers. After applying inclusion and exclusion criteria, L&I staff identified 2,541 workers who were potentially eligible for the survey during the specified time period. This served as the initial sample frame. We attempted to interview all eligible workers in this sample, and no probability sampling was conducted. Two additional exclusion criteria could be determined only during eligibility screening by survey interviewers: (1) language or comprehension barrier; and (2) no return to work since the impairment, as determined by a worker’s affirmative response to the question, “Have you returned to work since the injury that caused your impairment or disability, even if only very briefly?” Although only workers who had returned to work were surveyed, eligibility questions were structured to allow for estimation of the percentage of workers with permanent impairment who had not returned to work at all since claim closure.
Sears J.M., Schulman B.A., Fulton-Kehoe D, & Hogg-Johnson S. (2021). Workforce reintegration after work-related permanent impairment: A look at the first year after workers’ compensation claim closure. Journal of occupational rehabilitation, 31(1), 219-231.
Publication 2020
Administrative Personnel Disabled Persons Eligibility Determination Injuries Interviewers Reading Frames Workers

Most recents protocols related to «Administrative Personnel»

1
Community-based Health Research in Nièna
Inclusion criteria were residency of the Nièna community age 20 years or older. Participants were recruited randomly through public health campaigns in Nièna and its surrounding communities of Dougoukolobougou and Banzana. Selected participants were consulted about the purpose of the study and informed of its potential risks. To foster community engagement and maximize study participation, outreach study personnel held meetings with leaders from villages, neighborhoods, religious groups, local health facilities, and administrative personnel before enrollment activities. All activities were undertaken following local community policies, regulations, and procedures.
Diawara A., Coulibaly D.M., Hussain T.Y., Cisse C., Li J., Wele M., Diakite M., Traore K., Doumbia S.O, & Shaffer J.G. (2023). Type 2 diabetes prevalence, awareness, and risk factors in rural Mali: a cross-sectional study. Scientific Reports, 13, 3718.
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Publication 2023
Administrative Personnel ARID1A protein, human Health Campaigns Residency
2
Digital Stress Interventions for Healthcare Workers
The study is part of the project “Internet and app-based interventions to reduce stress in healthcare workers” (fitcor). The studies are conducted and described according to the Spirit checklist [80 (link)]. The study will be conducted as a longitudinal crossover design trial with five intervention groups and group comparisons (nurses vs administrative personnel). The study is part of the project “Internet and app-based interventions to reduce stress in healthcare workers” (fitcor). The studies are conducted and described according to the Spirit checklist [80 (link)]. The study will be conducted as a longitudinal crossover design trial with five intervention groups and group comparisons as described in Table 1 (nurses vs administrative personnel).

Schedule of enrollment, interventions, and assessments: Recommendations for Interventional Trials (SPIRIT) chart of the enrollments and assessments during randomized controlled trials

The five intervention groups are as follows:

Web-based digital stress management intervention (WBT only)

Web-based and need-oriented digital stress management intervention (WBT + Need)

Web-based and need-oriented digital stress management intervention with telephone coaching (WBT + Need + Coaching)

App-based stress management interventions with sensory biofeedback (App + Biofeedback)

App-based stress management intervention with sensory biofeedback and health report (App + Biofeedback + Report)

All participants of the intervention groups will receive a digital intervention. The waitlist control group will start the intervention after 8 weeks. Both, questionnaire and sensory data will be assessed:

At baseline (T1: pre-intervention/pre-waiting)

At 8 weeks (T2: post-intervention/post-waiting=pre-intervention)

At 16 weeks (T3: sustainability or post-intervention for waiting group; see Table 1).

Baumann H., Heuel L., Bischoff L.L, & Wollesen B. (2023). mHealth interventions to reduce stress in healthcare workers (fitcor): study protocol for a randomized controlled trial. Trials, 24, 163.
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Publication 2023
Administrative Personnel Biofeedback Fingers Health Personnel Nurses
3
Ethical Clearance and Data Collection for Teenage Maternal Records
Ethical clearance to conduct this study was obtained from the University of South Africa Health Studies Higher Degrees Ethics Review Committee (ref. no. HSHDC/994/2020). The Department of Health in KwaZulu-Natal, district managers and selected public health institutional managers officially permitted this study. Codes were used instead of real names of institutions and maternal records to maintain confidentiality and anonymity. The signing of a confidentiality agreement form between the statistician and the researcher strengthened confidentiality in this study. The PHIs reserved small spaces dedicated for the researcher to record data on site.
The admission numbers of teenagers extracted from the admission and discharge registers kept in labour wards were used to form a comprehensive list, which was submitted to the administration clerks for retrieval of maternal records. The signing of a borrowing register by the researcher while receiving and returning maternal records to administrative personnel prevented loss of these files after use, and 11–48 maternal records were recorded per day.
, & Shongwe Z.B. (2023). Implementation of maternal guidelines for gravid teenagers with hypertensive disorders in KwaZulu-Natal. Curationis, 46(1), 2395.
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Publication 2023
Administrative Personnel Adolescent GPI protein, human Mothers Patient Discharge
4
Maternal HDP in Teenage Pregnancy
The study population were maternal records between 01 January 2017 and 31 December 2019 for teenagers who were living with HDP and treated for HDP during pregnancy, labour and puerperium. Maternal records of teenagers aged 13–19 years indicated those who were living with HDP from January 2017 and December 2019 for their inclusion in this study. To retrieve these records, a list with admission numbers from admission and discharge registers of teenagers diagnosed with HDP was used by the administrative personnel.
, & Shongwe Z.B. (2023). Implementation of maternal guidelines for gravid teenagers with hypertensive disorders in KwaZulu-Natal. Curationis, 46(1), 2395.
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Publication 2023
Administrative Personnel Adolescent Mothers Mothers Patient Discharge Pregnancy Teens
5
Leveraging HMO Databases: A Robust Approach
The HMO uses two own-service database storage systems: Data Lake, from the Amazon Web Services (https://aws.amazon.com/lake-formation/), and the Data Warehouse, from the Oracle Warehouse Builder (https://www.oracle.com/autonomous-database/autonomous-data-warehouse/). A Data Lake is a centralized repository that allows storage of all structured and unstructured data at any scale. A Data Warehouse is a data management system designed to enable and support business intelligence activities, especially analytics. Both systems are intended to perform queries and analyses and often contain large amounts of historical data.
The HMO database is updated by both healthcare providers and administrative personnel, from each healthcare service. Data are audited by an accredited team from each healthcare service and centrally. Data are individualized and anonymized by an identification code. The demographic and clinical data, such as ICD-10, outpatient medical appointments, hospitalizations, surgeries, dialysis, and procedures (e.g., invasive mechanical ventilation and hemodialysis), are included. These data are routinely updated to provide the spectrum of complex chronic condition classification of each patient, both children and adults [20 (link)–22 (link)]. Especially in the case of hospitalization, one Diagnosis-Related Group (DRG) was attributed to each admission [23 (link)]. DRGs provide guidelines to determine hospital reimbursement by many insurance providers. This encompasses several metrics designed to classify the healthcare resources based on diagnosis, prognosis, and various other factors [23 (link)]. Besides that, there is an audit of deaths in each hospital provider and centrally. Then, it is possible to follow the patient as long as he/she remains insured by the HMO.
Finally, restricted access is accomplished by the HMO to guarantee the protection of personal data. The HMO follows the recommendations of the Brazilian General Personal Data Protection Law (http://www.planalto.gov.br/ccivil_03/_ato2015-2018/2018/lei/l13709.htm). Data were extracted from the HMO database platform using an anonymized search.
Horta M.D., Ribeiro G.J., Campos N.O., de Oliveira D.R., de Almeida Carvalho L.M., de Castro Zocrato K., dos Reis D.P., Fernandes M.R., Camelo R.M., Biscione F.M, & Kelles S.M. (2023). ICU Admission, Invasive Mechanical Ventilation, and Mortality among Children and Adolescents Hospitalized for COVID-19 in a Private Healthcare System. International Journal of Pediatrics, 2023, 1698407.
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Publication 2023
Administrative Personnel Adult Child Diagnosis Dialysis Disease, Chronic Health Personnel Hemodialysis Hospitalization Mechanical Ventilation Operative Surgical Procedures Outpatients Patients Prognosis

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More about "Administrative Personnel"

Administrative staff, office professionals, management support personnel, clerical workers, executive assistants, administrative coordinators, administrative specialists, administrative aides, office administrators, office managers, administrative support staff.
These individuals play a crucial role in ensuring the smooth and efficient operation of an organization.
They possess strong organizational skills, attention to detail, and the ability to multitask effectively, allowing them to handle a wide range of duties such as scheduling, record-keeping, communication facilitation, and process coordination.
Their expertise in administrative procedures and understanding of organizational dynamics make them invaluable assets, supporting the overall operations and enabling other employees to focus on their core responsibilities.
Administrative personnel often utilize software tools like SPSS (Statistical Package for the Social Sciences) version 26.0, JMP 14.0, and SAS 9.4 to manage data, generate reports, and optimize workflows, contributing to the productivity and decision-making processes within the organization.
With their adaptability and problem-solving abilities, administrative personnel are the unsung heroes who keep organizations running smoothly, day in and day out.