Search

Your search keyword '"Crayton, Elise"' showing total 24 results
Start Over Author "Crayton, Elise"
24 results on '"Crayton, Elise"'

1. The impact of different doses of oral iron supplementation during pregnancy: a pilot randomized trial

Author

Hirst, Jane, Mossop, Jude, Philip, Sarah, Campbell, Anna, Gammin, Emma, Churchill, David, McKenzie, Ellmina, Nicholson, Rachel, Hinshaw, Kim, Ormonde, Judith, Hewitt, Lesley, Iliodromiti, Stamatina, Thomas, Amy, Jones, Prudence, Stanworth, Simon J., Sweity, Samaher, Holmes, Tom, Hudson, Cara, Brown, Rosemary, Lax, Stephanie J., Murray, Joanne, Spiby, Helen, Roy, Noemi, Farmer, Andrew, Gale, Chris, Crayton, Elise, Lorencatto, Fabiana, Griffiths, James, Mullings, Joanne, Last, Sara, and Knight, Marian

Published
2024
Full Text
View/download PDF

2. Improving medication adherence in stroke survivors : development of a novel and acceptable intervention

Author

Crayton, Elise Frances, Wright, Alison, and Ashworth, Mark

Subjects
616.8
Abstract

Medications are recommended for the secondary prevention of stroke and have shown good efficacy, yet adherence is suboptimal. To date, most interventions targeting medication adherence in stroke survivors have shown limited effectiveness. Therefore, this thesis aimed to develop a novel, evidence-based and theory driven behaviour change intervention targeting medication adherence in stroke survivors. Three key studies were conducted. A systematic review identified psychological determinants of medication adherence in stroke survivors. Then, an extensive intervention development process was undertaken, utilising the Behaviour Change Wheel (BCW), a guide to intervention development. Finally, semi-structured interviews were conducted with stroke survivors (n=16) and health care professionals (HCPs; n=19), to explore acceptability of the potential intervention components. Framework analysis was employed to analyse results and the intervention design was refined and finalised. All studies were underpinned by the Theoretical Domains Framework (TDF). Three TDF domains (‘Knowledge’,‘Beliefs about consequences’, and ‘Emotions’), were found to have most influence on medication adherence. Employing the BCW, five intervention functions, five policy categories and 11 BCTs were identified and explored for acceptability with stroke survivors and HCPs. The qualitative interviews revealed that habit formation, supported by action planning, self-monitoring of the behaviour and information about health consequences were the most acceptable BCTs. Participants felt that the intervention should be delivered within the NHS, with written and verbal modes of delivery perceived as acceptable. Use of the TDF, BCW and consideration of intended intervention context has supported the development of a novel and acceptable intervention. Further research is required to test intervention feasibility.

Published
2018

3. Factors influencing uptake of protective behaviours by healthcare workers in England during the COVID-19 pandemic: A theory-based mixed-methods study.

Author

Meyer, Carly, Crayton, Elise, Wright, Abigail, Spyer, Moira, Vora, Nina, Houlihan, Catherine, Walker, Naomi F., Nastouli, Eleni, Michie, Susan, and Lorencatto, Fabiana

Subjects
*COVID-19 pandemic, *MEDICAL personnel, *SOCIAL distancing, *DISEASE outbreaks, *INFECTION control
Abstract

Background: Hospital infection control policies protect patients and healthcare workers (HCWs) and limit the spread of pathogens, but adherence to COVID-19 guidance varies. We examined hospital HCWs' enactment of social distancing and use of personal protective equipment (PPE) during the COVID-19 pandemic, factors influencing these behaviours, and acceptability and feasibility of strategies to increase social distancing. Methods: An online, cross-sectional survey (n = 86) and semi-structured interviews (n = 22) with HCWs in two English hospitals during the first wave of the COVID-19 pandemic (May-December 2020). The Capability, Opportunity, Motivation (COM-B) model of behaviour change underpinned survey and topic guide questions. Spearman Rho correlations examined associations between COM-B domains and behaviours. Interviews were analysed using inductive and deductive thematic analysis. Potential strategies to improve social distancing were selected using the Behaviour Change Wheel and discussed in a stakeholder workshop (n = 8 participants). Results: Social distancing enactment was low, with 85% of participants reporting very frequently or always being in close contact with others in communal areas. PPE use was high (88% very frequently or always using PPE in typical working day). Social distancing was associated with Physical Opportunity (e.g., size of physical space), Psychological Capability (e.g., clarity of guidance), and Social Opportunity (e.g., support from managers). Use of PPE was associated with Psychological Capability (e.g., training), Physical Opportunity (e.g., availability), Social Opportunity (e.g., impact on interactions with patients), and Reflective Motivation (e.g., beliefs that PPE is effective). Local champions and team competition were viewed as feasible strategies to improve social distancing. Conclusions: It is valuable to understand and compare the drivers of individual protective behaviours; when faced with the same level of perceived threat, PPE use was high whereas social distancing was rarely enacted. Identified influences represent targets for intervention strategies in response to future infectious disease outbreaks. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

4. Exploration of the individual, social and environmental factors influencing dietary behaviour in shift workers with type 2 diabetes working in UK healthcare—The Shift‐Diabetes Study: A qualitative study using the theoretical domains framework.

Author

Gibson, Rachel, D'Annibale, Maria, Oliver, Nick, McGowan, Barbara, Forbes, Gillian, Crayton, Elise, Guess, Nicola, and Lorencatto, Fabiana

Subjects
EMPLOYEE psychology, FOOD habits, SHIFT systems, HEALTH facilities, RESEARCH methodology, JOB stress, SELF-evaluation, FOOD security, MEDICAL care, MEDICAL personnel, INTERVIEWING, BEHAVIOR, BIOFEEDBACK training, TYPE 2 diabetes, QUALITATIVE research, CONCEPTUAL structures, FOOD supply, SOCIAL context, PSYCHOSOCIAL factors, HEALTH behavior, RESEARCH funding, STATISTICAL sampling, THEMATIC analysis, EMOTION regulation, PSYCHOLOGICAL distress
Abstract

Aim: To identify factors influencing dietary behaviour in shift workers with type 2 diabetes (T2D) working in UK healthcare settings. Methods: Semi‐structured qualitative interviews based on the theoretical domains framework (TDF) were conducted with a convenience sample (n = 15) of shift workers (32–59 years) diagnosed with T2D who worked night shifts as part of a mixed shift schedule. The TDF was applied to analyse transcripts using a combined deductive framework and inductive thematic analysis approach. Identified influences were mapped to the behaviour change technique taxonomy to identify potential strategies to change dietary behaviour in this context. Results: Key barriers to healthy dietary behaviours were access and cost of food available during night work (TDF domain: Environment Context and Resources). Factors identified as both enablers and barriers included: availability of staff facilities and time to take a break, (Environment Context and Resources), the physical impact of night work (Beliefs About Consequences), eating in response to stress or tiredness (Emotion), advance planning of meals/food and taking own food to work (Behavioural Regulation). Potential techniques to address these influences and improve dietary behaviour in this context include: meal planning templates, self‐monitoring and biofeedback, and increasing accessibility and availability of healthier food choices during night shifts. Conclusions: The dietary behaviour of shift workers with T2D is influenced by interacting individual, socio‐cultural and environmental factors. Intervention should focus on environmental restructuring and strategies that enable monitoring and meal planning. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

5. Exploration of the individual, social and environmental factors influencing dietary behaviour in shift workers with type 2 diabetes working in UK healthcare—The Shift‐Diabetes Study: A qualitative study using the theoretical domains framework

Author

Gibson, Rachel, primary, D'Annibale, Maria, additional, Oliver, Nick, additional, McGowan, Barbara, additional, Forbes, Gillian, additional, Crayton, Elise, additional, Guess, Nicola, additional, and Lorencatto, Fabiana, additional

Published
2023
Full Text
View/download PDF

11. Incidence, healthcare-seeking behaviours, antibiotic use and natural history of common infection syndromes in England:results from the Bug Watch community cohort study

Author

Smith, Catherine M., Shallcross, Laura J., Dutey-Magni, Peter, Conolly, Anne, Fuller, Christopher, Hill, Suzanne, Jhass, Arnoupe, Marcheselli, Franziska, Michie, Susan, Mindell, Jennifer S., Ridd, Matthew J., Tsakos, Georgios, Hayward, Andrew C., Fragaszy, Ellen B., Anderson, Niall, Atkins, Lou, Crayton, Elise, Denaxas, Spiros, Elsay, Nadia, Forbes, Gillian, Fragaszy, Ellen, Freemantle, Nick, Gill, Martin, Horne, Rob, Kostkova, Patty, Lorencatto, Fabiana, Richardson, Michelle, Robson, John, Rockenschaub, Patrick, Royston, Claire, Sutton, Elizabeth, Thomas, James, Tarrant, Carolyn, Traina, Rosanna, Richardson, Emma, West, Jonathan, and Williams, Haydn

Abstract

Background: Better information on the typical course and management of acute common infections in the community could inform antibiotic stewardship campaigns. We aimed to investigate the incidence, management, and natural history of a range of infection syndromes (respiratory, gastrointestinal, mouth/dental, skin/soft tissue, urinary tract, and eye). Methods: Bug Watch was an online prospective community cohort study of the general population in England (2018–2019) with weekly symptom reporting for 6 months. We combined symptom reports into infection syndromes, calculated incidence rates, described the proportion leading to healthcare-seeking behaviours and antibiotic use, and estimated duration and severity. Results: The cohort comprised 873 individuals with 23,111 person-weeks follow-up. The mean age was 54 years and 528 (60%) were female. We identified 1422 infection syndromes, comprising 40,590 symptom reports. The incidence of respiratory tract infection syndromes was two per person year; for all other categories it was less than one. 194/1422 (14%) syndromes led to GP (or dentist) consultation and 136/1422 (10%) to antibiotic use. Symptoms usually resolved within a week and the third day was the most severe. Conclusions: Most people reported managing their symptoms without medical consultation. Interventions encouraging safe self-management across a range of acute infection syndromes could decrease pressure on primary healthcare services and support targets for reducing antibiotic prescribing.

Published
2021

12. An interdisciplinary mixed-methods approach to developing antimicrobial stewardship interventions:Protocol for the preserving antibiotics through safe stewardship (PASS) research programme [version 1; peer review: 2 approved]

Author

Shallcross, Laura, Lorencatto, Fabiana, Fuller, Christopher, Tarrant, Carolyn, West, Jonathan, Traina, Rosanna, Smith, Catherine, Forbes, Gillian, Crayton, Elise, Rockenschaub, Patrick, Dutey-Magni, Peter, Richardson, Emma, Fragaszy, Ellen, Michie, Susan, Hayward, Andrew, and Group, PASS Research

Abstract

Behaviour change is key to combating antimicrobial resistance. Antimicrobial stewardship (AMS) programmes promote and monitor judicious antibiotic use, but there is little consideration of behavioural and social influences when designing interventions. We outline a programme of research which aims to co-design AMS interventions across healthcare settings, by integrating data-science, evidence- synthesis, behavioural-science and user-centred design. The project includes three work-packages (WP): WP1 (Identifying patterns of prescribing): analysis of electronic health-records to identify prescribing patterns in care-homes, primary-care, and secondary-care. An online survey will investigate consulting/antibiotic-seeking behaviours in members of the public. WP2 (Barriers and enablers to prescribing in practice): Semi-structured interviews and observations of practice to identify barriers/enablers to prescribing, influences on antibiotic-seeking behaviour and the social/contextual factors underpinning prescribing. Systematic reviews of AMS interventions to identify the components of existing interventions associated with effectiveness. Design workshops to identify constraints influencing the form of the intervention. Interviews conducted with healthcare-professionals in community pharmacies, care-homes, primary-, and secondary-care and with members of the public. Topic guides and analysis based on the Theoretical Domains Framework. Observations conducted in care-homes, primary and secondary-care with analysis drawing on grounded theory. Systematic reviews of interventions in each setting will be conducted, and interventions described using the Behaviour Change Technique taxonomy v1. Design workshops in care-homes, primary-, and secondary care. WP3 (Co-production of interventions and dissemination). Findings will be integrated to identify opportunities for interventions, and assess whether existing interventions target influences on antibiotic use. Stakeholder panels will be assembled to co-design and refine interventions in each setting, applying the Affordability, Practicability, Effectiveness, Acceptability, Side-effects and Equity (APEASE) criteria to prioritise candidate interventions. Outputs will inform development of new AMS interventions and/or optimisation of existing interventions. We will also develop web-resources for stakeholders providing analyses of antibiotic prescribing patterns, prescribing behaviours, and evidence reviews.

Published
2020

13. An interdisciplinary mixed-methods approach to developing antimicrobial stewardship interventions: Protocol for the Preserving Antibiotics through Safe Stewardship (PASS) Research Programme

Author

Shallcross, Laura, Lorencatto, Fabiana, Fuller, Christopher, Tarrant, Carolyn, West, Jonathan, Traina, Rosanna, Smith, Catherine, Forbes, Gillian, Crayton, Elise, Rockenschaub, Patrick, Dutey-Magni, Peter, Richardson, Emma, Fragaszy, Ellen, Michie, Susan, Hayward, Andrew, and PASS Research Group

Abstract

Behaviour change is key to combating antimicrobial resistance. Antimicrobial stewardship (AMS) programmes promote and monitor judicious antibiotic use, but there is little consideration of behavioural and social influences when designing interventions. We outline a programme of research which aims to co-design AMS interventions across healthcare settings, by integrating data-science, evidence- synthesis, behavioural-science and user-centred design. The project includes three work-packages (WP): WP1 (Identifying patterns of prescribing): analysis of electronic health-records to identify prescribing patterns in care-homes, primary-care, and secondary-care. An online survey will investigate consulting/antibiotic-seeking behaviours in members of the public. WP2 (Barriers and enablers to prescribing in practice): Semi-structured interviews and observations of practice to identify barriers/enablers to prescribing, influences on antibiotic-seeking behaviour and the social/contextual factors underpinning prescribing. Systematic reviews of AMS interventions to identify the components of existing interventions associated with effectiveness. Design workshops to identify constraints influencing the form of the intervention. Interviews conducted with healthcare-professionals in community pharmacies, care-homes, primary-, and secondary-care and with members of the public. Topic guides and analysis based on the Theoretical Domains Framework. Observations conducted in care-homes, primary and secondary-care with analysis drawing on grounded theory. Systematic reviews of interventions in each setting will be conducted, and interventions described using the Behaviour Change Technique taxonomy v1. Design workshops in care-homes, primary-, and secondary care. WP3 (Co-production of interventions and dissemination). Findings will be integrated to identify opportunities for interventions, and assess whether existing interventions target influences on antibiotic use. Stakeholder panels will be assembled to co-design and refine interventions in each setting, applying the Affordability, Practicability, Effectiveness, Acceptability, Side-effects and Equity (APEASE) criteria to prioritise candidate interventions. Outputs will inform development of new AMS interventions and/or optimisation of existing interventions. We will also develop web-resources for stakeholders providing analyses of antibiotic prescribing patterns, prescribing behaviours, and evidence reviews.

Published
2020

14. Additional file 4 of Antibiotic prescribing in UK care homes 2016–2017: retrospective cohort study of linked data

Author

Smith, Catherine M., Williams, Haydn, Arnoupe Jhass, Patel, Selina, Crayton, Elise, Lorencatto, Fabiana, Michie, Susan, Hayward, Andrew C., and Shallcross, Laura J.

Abstract

Additional file 4: Sensitivity analysis Table 1. Resident and care home characteristics Table 2. Rates and single variable analysis of antibiotic prescribing by resident and care home characteristics Table 3. Multivariable analysis of antibiotic prescribing

Published
2020
Full Text
View/download PDF

15. Additional file 3 of Antibiotic prescribing in UK care homes 2016–2017: retrospective cohort study of linked data

Author

Smith, Catherine M., Williams, Haydn, Arnoupe Jhass, Patel, Selina, Crayton, Elise, Lorencatto, Fabiana, Michie, Susan, Hayward, Andrew C., and Shallcross, Laura J.

Abstract

Additional file 3: Country-specific analyses of rates of antibiotic prescribing in care homes Table 1. Care home Table 2. Rates and single variable negative binomial regressioncharacteristics Table 3. Multivariable negative binomial regression

Published
2020
Full Text
View/download PDF

18. Feasibility study of hospital antimicrobial stewardship analytics using electronic health records

Author

Dutey-Magni, P F, primary, Gill, M J, additional, McNulty, D, additional, Sohal, G, additional, Hayward, A, additional, Shallcross, L, additional, Anderson, Niall, additional, Crayton, Elise, additional, Forbes, Gillian, additional, Jhass, Arnoupe, additional, Richardson, Emma, additional, Richardson, Michelle, additional, Rockenschaub, Patrick, additional, Smith, Catherine, additional, Sutton, Elizabeth, additional, Traina, Rosanna, additional, Atkins, Lou, additional, Conolly, Anne, additional, Denaxas, Spiros, additional, Fragaszy, Ellen, additional, Horne, Rob, additional, Kostkova, Patty, additional, Lorencatto, Fabiana, additional, Michie, Susan, additional, Mindell, Jennifer, additional, Robson, John, additional, Royston, Claire, additional, Tarrant, Carolyn, additional, Thomas, James, additional, West, Jonathan, additional, Williams, Haydn, additional, Elsay, Nadia, additional, and Fuller, Chris, additional

Published
2021
Full Text
View/download PDF

19. Pandemic peak SARS-CoV-2 infection and seroconversion rates in London frontline health-care workers

Author

Houlihan, Catherine F, primary, Vora, Nina, additional, Byrne, Thomas, additional, Lewer, Dan, additional, Kelly, Gavin, additional, Heaney, Judith, additional, Gandhi, Sonia, additional, Spyer, Moira J, additional, Beale, Rupert, additional, Cherepanov, Peter, additional, Moore, David, additional, Gilson, Richard, additional, Gamblin, Steve, additional, Kassiotis, George, additional, McCoy, Laura E, additional, Swanton, Charles, additional, Hayward, Andrew, additional, Nastouli, Eleni, additional, Aitken, Jim, additional, Allen, Zoe, additional, Ambler, Rachel, additional, Ambrose, Karen, additional, Ashton, Emma, additional, Avola, Alida, additional, Balakrishnan, Samutheswari, additional, Barns-Jenkins, Caitlin, additional, Barr, Genevieve, additional, Barrell, Sam, additional, Basu, Souradeep, additional, Beesley, Clare, additional, Bhardwaj, Nisha, additional, Bibi, Shahnaz, additional, Bineva-Todd, Ganka, additional, Biswas, Dhruva, additional, Blackman, Michael J, additional, Bonnet, Dominique, additional, Bowker, Faye, additional, Broncel, Malgorzata, additional, Brooks, Claire, additional, Buck, Michael D, additional, Buckton, Andrew, additional, Budd, Timothy, additional, Burrell, Alana, additional, Busby, Louise, additional, Bussi, Claudio, additional, Butterworth, Simon, additional, Byrne, Fiona, additional, Byrne, Richard, additional, Caidan, Simon, additional, Campbell, Joanna, additional, Canton, Johnathan, additional, Cardoso, Ana, additional, Carter, Nick, additional, Carvalho, Luiz, additional, Carzaniga, Raffaella, additional, Chandler, Natalie, additional, Chen, Qu, additional, Churchward, Laura, additional, Clark, Graham, additional, Clayton, Bobbi, additional, Cobolli Gigli, Clementina, additional, Collins, Zena, additional, Cottrell, Sally, additional, Crawford, Margaret, additional, Cubitt, Laura, additional, Cullup, Tom, additional, Davies, Heledd, additional, Davis, Patrick, additional, Davison, Dara, additional, D'Avola, Annalisa, additional, Dearing, Vicky, additional, Debaisieux, Solene, additional, Diaz-Romero, Monica, additional, Dibbs, Alison, additional, Diring, Jessica, additional, Driscoll, Paul C, additional, Earl, Christopher, additional, Edwards, Amelia, additional, Ekin, Chris, additional, Evangelopoulos, Dimitrios, additional, Faraway, Rupert, additional, Fearns, Antony, additional, Ferron, Aaron, additional, Fidanis, Efthymios, additional, Fitz, Dan, additional, Fleming, James, additional, Frederico, Bruno, additional, Gaiba, Alessandra, additional, Gait, Anthony, additional, Gaul, Liam, additional, Golding, Helen M, additional, Goldman, Jacki, additional, Goldstone, Robert, additional, Gomez Dominguez, Belen, additional, Gong, Hui, additional, Grant, Paul R, additional, Greco, Maria, additional, Grobler, Mariana, additional, Guedan, Anabel, additional, Gutierrez, Maximiliano G, additional, Hackett, Fiona, additional, Hall, Ross, additional, Halldorsson, Steinar, additional, Harris, Suzanne, additional, Hashim, Sugera, additional, Healy, Lyn, additional, Herbst, Susanne, additional, Hewitt, Graeme, additional, Higgins, Theresa, additional, Hindmarsh, Steve, additional, Hirani, Rajnika, additional, Hope, Joshua, additional, Horton, Elizabeth, additional, Hoskins, Beth, additional, Houlihan, Catherine F, additional, Howell, Michael, additional, Howitt, Louise, additional, Hoyle, Jacqueline, additional, Htun, Mint R, additional, Hubank, Michael, additional, Huerga Encabo, Hector, additional, Hughes, Deborah, additional, Hughes, Jane, additional, Huseynova, Almaz, additional, Hwang, Ming-Shih, additional, Instrell, Rachael, additional, Jackson, Deborah, additional, Jamal-Hanjani, Mariam, additional, Jenkins, Lucy, additional, Jiang, Ming, additional, Johnson, Mark, additional, Jones, Leigh, additional, Kanu, Nnennaya, additional, Kiely, Louise, additional, King Spert Teixeira, Anastacio, additional, Kirk, Stuart, additional, Kjaer, Svend, additional, Knuepfer, Ellen, additional, Komarov, Nikita, additional, Kotzampaltiris, Paul, additional, Kousis, Konstantinos, additional, Krylova, Tammy, additional, Kucharska, Ania, additional, Labrum, Robyn, additional, Lambe, Catherine, additional, Lappin, Michelle, additional, Lee, Stacey-Ann, additional, Levett, Andrew, additional, Levett, Lisa, additional, Levi, Marcel, additional, Liu, Hon-Wing, additional, Loughlin, Sam, additional, Lu, Wei-Ting, additional, MacRae, James I, additional, Madoo, Akshay, additional, Marczak, Julie A, additional, Martensson, Mimmi, additional, Martinez, Thomas, additional, Marzook, Bishara, additional, Matthews, John, additional, Matz, Joachim M, additional, McCall, Samuel, additional, McKay, Fiona, additional, McNamara, Edel C, additional, Minutti, Carlos M, additional, Mistry, Gita, additional, Molina-Arcas, Miriam, additional, Montaner, Beatriz, additional, Montgomery, Kylie, additional, Moore, Catherine, additional, Moraiti, Anastasia, additional, Moreira-Teixeira, Lucia, additional, Mukherjee, Joyita, additional, Naceur-Lombardelli, Cristina, additional, Nelson, Aileen, additional, Nicod, Jerome, additional, Nightingale, Luke, additional, Nofal, Stephanie, additional, Nurse, Paul, additional, Nutan, Savita, additional, Oedekoven, Caroline, additional, O'Garra, Anne, additional, O'Leary, Jean D, additional, Olsen, Jessica, additional, O'Neill, Olga, additional, Ordonez Suarez, Paula, additional, O'Reilly, Nicola, additional, Osborne, Neil, additional, Pabari, Amar, additional, Pajak, Aleksandra, additional, Papayannopoulos, Venizelos, additional, Patel, Namita, additional, Patel, Yogen, additional, Paun, Oana, additional, Peat, Nigel, additional, Peces-Barba Castano, Laura, additional, Perez Caballero, Ana, additional, Perez-Lloret, Jimena, additional, Perrault, Magali S, additional, Perrin, Abigail, additional, Poh, Roy, additional, Poirier, Enzo Z, additional, Polke, James M, additional, Pollitt, Marc, additional, Prieto-Godino, Lucia, additional, Proust, Alize, additional, Shah Punatar, Rajvee, additional, Puvirajasinghe, Clinda, additional, Queval, Christophe, additional, Ramachandran, Vijaya, additional, Ramaprasad, Abhinay, additional, Ratcliffe, Peter, additional, Reed, Laura, additional, Reis e Sousa, Caetano, additional, Richardson, Kayleigh, additional, Ridewood, Sophie, additional, Roberts, Rowenna, additional, Rodgers, Angela, additional, Romero Clavijo, Pablo, additional, Rosa, Annachiara, additional, Rossi, Alice, additional, Roustan, Chloe, additional, Rowan, Andrew, additional, Sahai, Erik, additional, Sait, Aaron, additional, Sala, Katarzyna, additional, Sanderson, Theo, additional, Santucci, Pierre, additional, Sardar, Fatima, additional, Sateriale, Adam, additional, Saunders, Jill A, additional, Sawyer, Chelsea, additional, Schlott, Anja, additional, Schweighoffer, Edina, additional, Segura-Bayona, Sandra, additional, Shaw, Joe, additional, Shin, Gee Yen, additional, Silva Dos Santos, Mariana, additional, Silvestre, Margaux, additional, Singer, Matthew, additional, Snell, Daniel M, additional, Song, Ok-Ryul, additional, Steel, Louisa, additional, Strange, Amy, additional, Sullivan, Adrienne E, additional, Tan, Michele SY, additional, Tautz-Davis, Zoe H, additional, Taylor, Effie, additional, Taylor, Gunes, additional, Taylor, Harriet B, additional, Taylor-Beadling, Alison, additional, Teixeira Subtil, Fernanda, additional, Terré Torras, Berta, additional, Toolan-Kerr, Patrick, additional, Torelli, Francesca, additional, Toteva, Tea, additional, Treeck, Moritz, additional, Trojer, Hadija, additional, Tsai, Ming-Han C, additional, Turner, James MA, additional, Turner, Melanie, additional, Ule, Jernej, additional, Ulferts, Rachel, additional, Vanloo, Sharon P, additional, Veeriah, Selvaraju, additional, Venkatesan, Subramanian, additional, Vousden, Karen, additional, Wack, Andreas, additional, Walder, Claire, additional, Walker, Philip A, additional, Wang, Yiran, additional, Ward, Sophia, additional, Wenman, Catharina, additional, Wiliams, Luke, additional, Williams, Matthew J, additional, Wong, Wai Keong, additional, Wright, Joshua, additional, Wu, Mary, additional, Wynne, Lauren, additional, Xiang, Zheng, additional, Yap, Melvyn, additional, Zagalak, Julian A, additional, Zecchin, Davide, additional, Zillwood, Rachel, additional, Matthews, Rebecca, additional, Severn, Abigail, additional, Adam, Sajida, additional, Enfield, Louise, additional, McBride, Angela, additional, Gärtner, Kathleen, additional, Edwards, Sarah, additional, Lorencatto, Fabiana, additional, Michie, Susan, additional, Manley, Ed, additional, Shahmanesh, Maryam, additional, Lukha, Hinal, additional, Prymas, Paulina, additional, McBain, Hazel, additional, Shortman, Robert, additional, Wood, Leigh, additional, Davies, Claudia, additional, Williams, Bethany, additional, Ng, Kevin W, additional, Cornish, Georgina H, additional, Faulkner, Nikhil, additional, Riddell, Andrew, additional, Hobson, Philip, additional, Agua-Doce, Ana, additional, Bartolovic, Kerol, additional, Russell, Emma, additional, Carr, Lotte, additional, Sanchez, Emilie, additional, Frampton, Daniel, additional, Byott, Matthew, additional, Paraskevopoulou, Stavroula M, additional, Crayton, Elise, additional, Meyer, Carly, additional, Gkouleli, Triantafylia, additional, Stoltenberg, Andrea, additional, Ranieri, Veronica, additional, Byrne, Tom, additional, Roberts, Fiona, additional, and Hatipoglu, Emine, additional

Published
2020
Full Text
View/download PDF

20. Antibiotic prescribing in UK care homes 2016-2017: retrospective cohort study of linked data.

Author

Smith, Catherine M., Williams, Haydn, Jhass, Arnoupe, Patel, Selina, Crayton, Elise, Lorencatto, Fabiana, Michie, Susan, Hayward, Andrew C., Shallcross, Laura J., on behalf of the Preserving Antibiotics through Safe Stewardship group, Anderson, N., Atkins, L., Conolly, A., Crayton, E., Denaxas, S., Dutey-Magni, P., Elsay, N., Forbes, G., Fragaszy, E. B., and Freemantle, N.

Subjects
HOME care of older people, COHORT analysis, MEDICAL assistance
Abstract

Background: Older people living in care homes are particularly susceptible to infections and antibiotics are therefore used frequently for this population. However, there is limited information on antibiotic prescribing in this setting. This study aimed to investigate the frequency, patterns and risk factors for antibiotic prescribing in a large chain of UK care homes.Methods: Retrospective cohort study of administrative data from a large chain of UK care homes (resident and care home-level) linked to individual-level pharmacy data. Residents aged 65 years or older between 1 January 2016 and 31 December 2017 were included. Antibiotics were classified by type and as new or repeated prescriptions. Rates of antibiotic prescribing were calculated and modelled using multilevel negative binomial regression.Results: 13,487 residents of 135 homes were included. The median age was 85; 63% residents were female. 28,689 antibiotic prescriptions were dispensed, the majority were penicillins (11,327, 39%), sulfonamides and trimethoprim (5818, 20%), or other antibacterials (4665, 16%). 8433 (30%) were repeat prescriptions. The crude rate of antibiotic prescriptions was 2.68 per resident year (95% confidence interval (CI) 2.64-2.71). Increased antibiotic prescribing was associated with residents requiring more medical assistance (adjusted incidence rate ratio for nursing opposed to residential care 1.21, 95% CI 1.13-1.30). Prescribing rates varied widely by care home but there were no significant associations with the care home-level characteristics available in routine data.Conclusions: Rates of antibiotic prescribing in care homes are high and there is substantial variation between homes. Further research is needed to understand the drivers of this variation to enable development of effective stewardship approaches that target the influences of prescribing. [ABSTRACT FROM AUTHOR]

Published
2020
Full Text
View/download PDF

23. The impact of different doses of oral iron supplementation during pregnancy: a pilot randomized trial

Author

Stanworth, Simon J., Churchill, David, Sweity, Samaher, Holmes, Tom, Hudson, Cara, Brown, Rosemary, Lax, Stephanie J., Murray, Joanne, Spiby, Helen, Roy, Noemi, Farmer, Andrew, Gale, Chris, Crayton, Elise, Lorencatto, Fabiana, Griffiths, James, Mullings, Joanne, Last, Sara, Knight, Marian, Hirst, Jane, Mossop, Jude, Philip, Sarah, Campbell, Anna, Gammin, Emma, Churchill, David, McKenzie, Ellmina, Nicholson, Rachel, Hinshaw, Kim, Ormonde, Judith, Hewitt, Lesley, Iliodromiti, Stamatina, Thomas, Amy, and Jones, Prudence

Abstract

•Symptoms often considered related to oral iron supplementation are commonly seen in pregnancy and may improve as pregnancy progresses.•A daily oral iron dosing schedule might deliver an adequate iron load to cope with the increased iron demands in pregnant women without anemia.

Published
2024
Full Text
View/download PDF

24. An interdisciplinary mixed-methods approach to developing antimicrobial stewardship interventions: Protocol for the Preserving Antibiotics through Safe Stewardship (PASS) Research Programme.

Author

Shallcross L, Lorencatto F, Fuller C, Tarrant C, West J, Traina R, Smith C, Forbes G, Crayton E, Rockenschaub P, Dutey-Magni P, Richardson E, Fragaszy E, Michie S, and Hayward A

Abstract

Behaviour change is key to combating antimicrobial resistance. Antimicrobial stewardship (AMS) programmes promote and monitor judicious antibiotic use, but there is little consideration of behavioural and social influences when designing interventions.  We outline a programme of research which aims to co-design AMS interventions across healthcare settings, by integrating data-science, evidence- synthesis, behavioural-science and user-centred design. The project includes three work-packages (WP): WP1 ( Identifying patterns of prescribing):  analysis of electronic health-records to identify prescribing patterns in care-homes, primary-care, and secondary-care. An online survey will investigate consulting/antibiotic-seeking behaviours in members of the public. WP2 (Barriers and enablers to prescribing in practice): Semi-structured interviews and observations of practice to identify barriers/enablers to prescribing, influences on antibiotic-seeking behaviour and the social/contextual factors underpinning prescribing. Systematic reviews of AMS interventions to identify the components of existing interventions associated with effectiveness. Design workshops to identify constraints influencing the form of the intervention. Interviews conducted with healthcare-professionals in community pharmacies, care-homes, primary-, and secondary-care and with members of the public. Topic guides and analysis based on the Theoretical Domains Framework.  Observations conducted in care-homes, primary and secondary-care with analysis drawing on grounded theory.  Systematic reviews of interventions in each setting will be conducted, and interventions described using the Behaviour Change Technique taxonomy v1. Design workshops in care-homes, primary-, and secondary care. WP3 (Co-production of interventions and dissemination). Findings will be integrated to identify opportunities for interventions, and assess whether existing interventions target influences on antibiotic use. Stakeholder panels will be assembled to co-design and refine interventions in each setting, applying the Affordability, Practicability, Effectiveness, Acceptability, Side-effects and Equity (APEASE) criteria to prioritise candidate interventions.  Outputs will inform development of new AMS interventions and/or optimisation of existing interventions.  We will also develop web-resources for stakeholders providing analyses of antibiotic prescribing patterns, prescribing behaviours, and evidence reviews., Competing Interests: No competing interests were disclosed., (Copyright: © 2020 Shallcross L et al.)

Published
2020
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results