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Santric Milicevic M, Scotter CDP, Bruno-Tome A, Scheerens C, Ellington K. Healthcare workforce equity for health equity: An overview of its importance for the level of primary health care. Int J Health Plann Manage 2024; 39:945-955. [PMID: 38348525 DOI: 10.1002/hpm.3790] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 02/03/2024] [Accepted: 02/06/2024] [Indexed: 02/23/2024] Open
Abstract
BACKGROUND Healthcare workforce crises often stem from healthcare workers' inequities. This study provides an overview of the main PHC workforce policy questions related to health equity, offering examples of evidence necessary to support the implementation of policies and strategies that increase equity in the health workforce and access to the PHC workforce and services. METHODS The equity-related policies in PHC and workforce were linked with the indicators listed in the Global Health Workforce Network Data and Evidence Hub and guidelines for health workforce management. RESULTS The policy-relevant questions in PHC cover many workforce issues such as the optimal size, equitable distribution, relevant competencies to ensure equitable healthcare access, and equitable approaches for retention, training, recruitment, benefits and incentive schemes and governance. This will require intersectionality evidence of the optimised staffing to PHC workload, that PHC practitioners' training demonstrates evidence-based knowledge aligned with locally relevant expertise. CONCLUSION Critical for equitable PHC access and health equity is the establishment of efficient measurement of PHC workforce equity and its implications for population health. Using indicators that measure health and workforce equity in research, policy, and practices may improve recruitment and retention, and respond more effectively to the PHC workforce crises.
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Affiliation(s)
- M Santric Milicevic
- University of Belgrade Faculty of Medicine, Institute of Social Medicine, Laboratory for Strengthening the Capacity and Performance of Health Systems and Health Workforce for Health Equity, Belgrade, Serbia
| | - C D P Scotter
- HRH Policy Advisor WHO Europe, Copenhagen, Denmark
- Adjunct Faculty, RCSI Graduate School of Healthcare Management, Dublin, Ireland
| | - A Bruno-Tome
- Centre for Digital Transformation of Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - C Scheerens
- Department of Primary Care and Public Health, Ghent University, Ghent, Belgium
- United Nations University - CRIS, Bruges, Belgium
| | - K Ellington
- World House Medicine, New York, New York, USA
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Aguolu OG, Kiti MC, Nelson K, Liu CY, Sundaram M, Gramacho S, Jenness S, Melegaro A, Sacoor C, Bardaji A, Macicame I, Jose A, Cavele N, Amosse F, Uamba M, Jamisse E, Tchavana C, Briones HGM, Jarquín C, Ajsivinac M, Pischel L, Ahmed N, Mohan VR, Srinivasan R, Samuel P, John G, Ellington K, Joaquim OA, Zelaya A, Kim S, Chen H, Kazi M, Malik F, Yildirim I, Lopman B, Omer SB. Comprehensive profiling of social mixing patterns in resource poor countries: a mixed methods research protocol. medRxiv 2023:2023.12.05.23299472. [PMID: 38105989 PMCID: PMC10723497 DOI: 10.1101/2023.12.05.23299472] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background Low-and-middle-income countries (LMICs) bear a disproportionate burden of communicable diseases. Social interaction data inform infectious disease models and disease prevention strategies. The variations in demographics and contact patterns across ages, cultures, and locations significantly impact infectious disease dynamics and pathogen transmission. LMICs lack sufficient social interaction data for infectious disease modeling. Methods To address this gap, we will collect qualitative and quantitative data from eight study sites (encompassing both rural and urban settings) across Guatemala, India, Pakistan, and Mozambique. We will conduct focus group discussions and cognitive interviews to assess the feasibility and acceptability of our data collection tools at each site. Thematic and rapid analyses will help to identify key themes and categories through coding, guiding the design of quantitative data collection tools (enrollment survey, contact diaries, exit survey, and wearable proximity sensors) and the implementation of study procedures.We will create three age-specific contact matrices (physical, nonphysical, and both) at each study site using data from standardized contact diaries to characterize the patterns of social mixing. Regression analysis will be conducted to identify key drivers of contacts. We will comprehensively profile the frequency, duration, and intensity of infants' interactions with household members using high resolution data from the proximity sensors and calculating infants' proximity score (fraction of time spent by each household member in proximity with the infant, over the total infant contact time) for each household member. Discussion Our qualitative data yielded insights into the perceptions and acceptability of contact diaries and wearable proximity sensors for collecting social mixing data in LMICs. The quantitative data will allow a more accurate representation of human interactions that lead to the transmission of pathogens through close contact in LMICs. Our findings will provide more appropriate social mixing data for parameterizing mathematical models of LMIC populations. Our study tools could be adapted for other studies.
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Affiliation(s)
| | | | - Kristin Nelson
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Carol Y. Liu
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Maria Sundaram
- Center for Clinical Epidemiology and Population Health, Marshfield Clinic Research Institute, Marshfield, Wisconsin, USA
| | - Sergio Gramacho
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Samuel Jenness
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Alessia Melegaro
- DONDENA Centre for Research in Social Dynamics and Public Policy, Bocconi University, Italy
| | | | - Azucena Bardaji
- Manhiça Health Research Centre, Manhica, Mozambique
- ISGlobal, Hospital Clinic – Universitat de Barcelona, Barcelona, Spain
- Consorcio de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Ivalda Macicame
- Polana Caniço Health Research and Training Centre, CISPOC, Mozambique
| | - Americo Jose
- Polana Caniço Health Research and Training Centre, CISPOC, Mozambique
| | - Nilzio Cavele
- Polana Caniço Health Research and Training Centre, CISPOC, Mozambique
| | | | - Migdalia Uamba
- Polana Caniço Health Research and Training Centre, CISPOC, Mozambique
| | | | | | | | - Claudia Jarquín
- Centro de Estudios en Salud (CES), Universidad del Valle de Guatemala
| | - María Ajsivinac
- Centro de Estudios en Salud (CES), Universidad del Valle de Guatemala
| | - Lauren Pischel
- Yale School of Medicine, Yale University, Connecticut, USA
| | - Noureen Ahmed
- Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas
| | | | | | | | - Gifta John
- Christian Medical College Vellore, India
| | - Kye Ellington
- Rollins School of Public Health, Emory University, Georgia, USA
| | | | - Alana Zelaya
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Sara Kim
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Holin Chen
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Momin Kazi
- The Aga Khan University, Karachi, Pakistán
| | - Fauzia Malik
- Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas
| | - Inci Yildirim
- Yale School of Medicine, Yale University, Connecticut, USA
| | - Benjamin Lopman
- Rollins School of Public Health, Emory University, Georgia, USA
| | - Saad B. Omer
- Peter O’Donnell Jr. School of Public Health at UT Southwestern Medical Center, Dallas, Texas
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Smith TS, Southan C, Ellington K, Campbell D, Tew DG, Debouck C. Identification, genomic organization, and mRNA expression of LACTB, encoding a serine beta-lactamase-like protein with an amino-terminal transmembrane domain. Genomics 2001; 78:12-4. [PMID: 11707067 DOI: 10.1006/geno.2001.6643] [Citation(s) in RCA: 30] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Database searching with bacterial serine beta-lactamases identified mouse expressed sequence tags (ESTs) with significant similarity scores.The cloned mouse cDNA encodes a novel 551-amino-acid protein, LACTB, with a predicted amino-terminal transmembrane domain but no signal peptide. It contains an active site motif related to C-class beta-lactamases. Homologues were detected in sequence data from human, rat, cow, rabbit, pig, toad, zebrafish, and Caenorhabditis elegans, but not in Saccharomyces cerevisiae or Drosophila melanogaster. The genes were mapped to human chromosome 15q22.1 and mouse chromosome 9. Sequencing of a 14.7-kb fragment of mouse genomic DNA defined six exons. A virtual human cDNA and a 549-residue protein, predicted from unfinished genomic sequence, showed the same intron/exon structure. Northern blot analysis showed expression of the 2.3-kb mRNA predominantly in mouse liver and human skeletal muscle. This is the first reported vertebrate example of this microbial peptidase family.
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Affiliation(s)
- T S Smith
- Department of Genetics Research, GlaxoSmithKline Pharmaceuticals, King of Prussia, Pennsylvania 19406, USA
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Farmer MK, Robbins MJ, Medhurst AD, Campbell DA, Ellington K, Duckworth M, Brown AM, Middlemiss DN, Price GW, Pangalos MN. Cloning and characterization of human NTT5 and v7-3: two orphan transporters of the Na+/Cl- -dependent neurotransmitter transporter gene family. Genomics 2000; 70:241-52. [PMID: 11112352 DOI: 10.1006/geno.2000.6387] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Orphan transporters form a growing subfamily of genes related by sequence similarity to the Na+/Cl- -dependent neurotransmitter superfamily. Using a combination of database similarity searching and cloning methods, we have identified and characterized two novel human orphan transporter genes, v7-3 and NTT5. Similar to other known orphan transporters, v7-3 and NTT5 contain 12 predicted transmembrane domains, intracellular N- and C-terminal domains, and large extracellular loops between transmembrane (TM) domains 3 and 4 and between TM domains 7 and 8. Residues within the extracellular loops are also predicted to contain sites for N-linked glycosylation. Human v7-3, the species orthologue of rat v7-3, contains an open reading frame (ORF) of 730 amino acids. Human NTT5 is a new member of the orphan transporter family and has an ORF of 736 amino acids. The amino acid sequences of human v7-3 and NTT5 are greater than 50% similar to other known orphan neurotransmitter transporters and also show sequence similarity to the human serotonin and dopamine transporters. Radiation hybrid mapping located the human v7-3 and NTT5 genes on chromosomes 12q21.3-q21.4 and 19q13.1-q13.4, respectively. Human mRNA distribution analysis by TaqMan reverse transcription-polymerase chain reaction showed that v7-3 mRNA is predominantly expressed in neuronal tissues, particularly amygdala, putamen, and corpus callosum, with low-level expression in peripheral tissues. In contrast, NTT5 mRNA was highly expressed in peripheral tissues, particularly in testis, pancreas, and prostate. Transient transfection with epitope-tagged transporter constructs demonstrated v7-3 to be expressed at the cell surface, whereas NTT5 was predominantly intracellular, suggestive of a vesicular location. Although the substrates transported by these transporters remain unknown, their specific but widespread distribution suggests that they may mediate distinct and important functions within the brain and the periphery.
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Affiliation(s)
- M K Farmer
- Department of Neuroscience Research, SmithKline Beecham Pharmaceuticals, New Frontiers Science Park, Third Avenue, Harlow, Essex, CM19 5AW, United Kingdom
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Sims MA, Field SD, Barnes MR, Shaikh N, Ellington K, Murphy KE, Spurr N, Campbell DA. Cloning and characterisation of ITGAV, the genomic sequence for human cell adhesion protein (vitronectin) receptor alpha subunit, CD51. Cytogenet Cell Genet 2000; 89:268-71. [PMID: 10965141 DOI: 10.1159/000015631] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
The integrin family of receptors serves as major receptors for extracellular matrix-mediated cell adhesion and migration, cytoskeletal organisation, cell proliferation, survival, and differentiation. The alpha-V integrins consist of a subset which share a common alpha-V subunit combined with one of five beta subunits (beta-1, 3, 5, 6, or 8). The alpha-V integrins have been implicated in a number of developmental processes, including vasculogenesis and angiogenesis, and are therapeutic targets for inhibition of angiogenesis and osteoporosis. The human cDNA for alpha-V integrin (ITGAV) consists of a 5,717-bp transcript with a coding sequence (CDS) of 3,146 bp encoding a 150-kDa mature peptide. Here we describe the gene structure of ITGAV.
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Affiliation(s)
- M A Sims
- Genetic Technologies, SmithKline Beecham Pharmaceuticals, Harlow, Essex, UK
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Yi CH, Terrett JA, Li QY, Ellington K, Packham EA, Armstrong-Buisseret L, McClure P, Slingsby T, Brook JD. Identification, mapping, and phylogenomic analysis of four new human members of the T-box gene family: EOMES, TBX6, TBX18, and TBX19. Genomics 1999; 55:10-20. [PMID: 9888994 DOI: 10.1006/geno.1998.5632] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Brachyury(T) is a mouse mutation, first described over 70 years ago, that causes defects in mesoderm formation. Recently several related genes, the T-box gene family, that encode a similar N-terminal DNA binding domain, the T-box, and that play critical roles in human embryonic development have been identified. It has been shown that human TBX5 and TBX3, if mutated, cause developmental disorders, Holt-Oram syndrome (OMIM 142900) and ulnar-mammary syndrome (OMIM 181450), respectively. We have identified four new human members of the T-box gene family, EOMES, TBX6, TBX18, and TBX19, and these genes have been mapped to different chromosomal regions by radiation hybrid mapping. The four T-box genes were classified into four different subfamilies and have also been subjected to phylogenomic analysis. Human EOMES maps at 3p21.3-p21.2. This Tbr1-subfamily gene is likely to play a significant role in early embryogenesis similar to that described for Xenopus eomesodermin. Human TBX6 maps at 16p12-q12. This Tbx6-subfamily gene is likely to participate in paraxial mesoderm formation and somitogenesis in human embryo. TBX18 is a novel member of the Tbx1 subfamily that maps at 6q14-q15. Two subgroups, TBX1/10 and TBX15/18 subgroups, could be distinguished within the Tbx1 subfamily. TBX19 is an orthologue of chick TbxT and maps at 1q23-q24. The genomic organization of TBX19 is highly similar to that of human T(Brachyury), another human member of the same subfamily.
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Affiliation(s)
- C H Yi
- School of Clinical Laboratory Sciences, University of Nottingham, Queen's Medical Centre, Nottingham, NG7 2UH
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Abstract
Levels of rhodamine 123 (Rh-123), a new antineoplastic drug, were measured using high performance liquid chromatography in normal brain, malignant glioma and brain adjacent to tumor after a single intravenous injection of drug into rats with intracerebral tumors. Consistently higher levels of Rh-123 were seen in tumor compared to normal brain at all times. Tumor levels of Rh-123 increased up to a maximum level of 9.35 nm/mg at 5 hours after intravenous injection (10 mg/kg), after which Rh-123 levels slowly decreased. Rh-123 concentration in serum reached a maximum level immediately after intravenous injection and Rh-123 was eliminated from the serum according to first order kinetics. The delayed (5 hours after injection) increase in tumor concentration of Rh-123 may reflect tumor hypoperfusion and/or the time required for the compound to diffuse from the blood to the cells within the tumor due to the blood brain barrier. These findings have directed us to study low dose continuous infusion and direct intratumoral injection of Rh-123 as ways of achieving higher Rh-123 levels in tumor with less risk of systemic toxicity due to elevated serum Rh-123 levels.
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Affiliation(s)
- S K Powers
- Division of Neurological Surgery, University of North Carolina, Chapel Hill 27514
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Wargin W, Patrick K, Kilts C, Gualtieri CT, Ellington K, Mueller RA, Kraemer G, Breese GR. Pharmacokinetics of methylphenidate in man, rat and monkey. J Pharmacol Exp Ther 1983; 226:382-6. [PMID: 6410043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023] Open
Abstract
The pharmacokinetics and bioavailability of methylphenidate (MPH) and a metabolite, ritalinic acid (RA), were studied in normal adults, children with hyperactivity, monkeys and rats. Adult males received 0.15 or 0.3 mg/kg of MPH orally and MPH and RA were analyzed in plasma samples obtained at various times after treatment. Maximal MPH concentrations in plasma were found to occur 2.2 hr after administration of either dose (range: 1.0-4.0). The mean (+/-S.E.) maximal concentration in plasma for MPH was 3.5 +/- 0.4 ng/ml after 0.15 mg/kg and 7.8 +/- 0.8 ng/ml after 0.3 mg/kg. MPH clearances were high (10.1 liters/hr/kg) and variable (range: 3.6-23.2) for the 0.3 mg/kg dose. Pharmacokinetic parameters for children receiving 0.3 mg/kg were essentially the same as for adults. RA plasma levels were 50 to 100 times greater than MPH levels in normal adults. The clearance of RA is less than that of MPH. The absolute bioavailability of MPH was found to be 0.19 in the rat and 0.22 in the monkey, suggesting substantial presystemic elimination of MPH.
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