Search

Your search keyword '"Myles, Puja"' showing total 39 results
Start Over Author "Myles, Puja" Publication Year Range Last 3 years
39 results on '"Myles, Puja"'

6. The Impact of Bias on Drift Detection in AI Health Software

Author

Khoshravan Azar, Asal, Draghi, Barbara, Rotalinti, Ylenia, Myles, Puja, Tucker, Allan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Juarez, Jose M., editor, Marcos, Mar, editor, Stiglic, Gregor, editor, and Tucker, Allan, editor

Published
2023
Full Text
View/download PDF

7. Detecting Drift in Healthcare AI Models Based on Data Availability

Author

Rotalinti, Ylenia, Tucker, Allan, Lonergan, Michael, Myles, Puja, Branson, Richard, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Koprinska, Irena, editor, Mignone, Paolo, editor, Guidotti, Riccardo, editor, Jaroszewicz, Szymon, editor, Fröning, Holger, editor, Gullo, Francesco, editor, Ferreira, Pedro M., editor, Roqueiro, Damian, editor, Ceddia, Gaia, editor, Nowaczyk, Slawomir, editor, Gama, João, editor, Ribeiro, Rita, editor, Gavaldà, Ricard, editor, Masciari, Elio, editor, Ras, Zbigniew, editor, Ritacco, Ettore, editor, Naretto, Francesca, editor, Theissler, Andreas, editor, Biecek, Przemyslaw, editor, Verbeke, Wouter, editor, Schiele, Gregor, editor, Pernkopf, Franz, editor, Blott, Michaela, editor, Bordino, Ilaria, editor, Danesi, Ivan Luciano, editor, Ponti, Giovanni, editor, Severini, Lorenzo, editor, Appice, Annalisa, editor, Andresini, Giuseppina, editor, Medeiros, Ibéria, editor, Graça, Guilherme, editor, Cooper, Lee, editor, Ghazaleh, Naghmeh, editor, Richiardi, Jonas, editor, Saldana, Diego, editor, Sechidis, Konstantinos, editor, Canakoglu, Arif, editor, Pido, Sara, editor, Pinoli, Pietro, editor, Bifet, Albert, editor, and Pashami, Sepideh, editor

Published
2023
Full Text
View/download PDF

10. Symptoms and risk factors for long COVID in non-hospitalized adults

Author

Subramanian, Anuradhaa, Nirantharakumar, Krishnarajah, Hughes, Sarah, Myles, Puja, Williams, Tim, Gokhale, Krishna M., Taverner, Tom, Chandan, Joht Singh, Brown, Kirsty, Simms-Williams, Nikita, Shah, Anoop D., Singh, Megha, Kidy, Farah, Okoth, Kelvin, Hotham, Richard, Bashir, Nasir, Cockburn, Neil, Lee, Siang Ing, Turner, Grace M., Gkoutos, Georgios V., Aiyegbusi, Olalekan Lee, McMullan, Christel, Denniston, Alastair K., Sapey, Elizabeth, Lord, Janet M., Wraith, David C., Leggett, Edward, Iles, Clare, Marshall, Tom, Price, Malcolm J., Marwaha, Steven, Davies, Elin Haf, Jackson, Louise J., Matthews, Karen L., Camaradou, Jenny, Calvert, Melanie, and Haroon, Shamil

Published
2022
Full Text
View/download PDF

14. The cost of primary care consultations associated with long COVID in non-hospitalised adults: a retrospective cohort study using UK primary care data

Author

Tufts, Jake, primary, Guan, Naijie, additional, Zemedikun, Dawit, additional, Subramanian, Anuradhaa, additional, Gokhale, Krishna, additional, Myles, Puja, additional, Williams, Tim, additional, Marshall, Tom, additional, Calvert, Melanie, additional, Matthews, Karen, additional, Nirantharakumar, Krishnarajah, additional, Jackson, Louise, additional, and Haroon, Shamil, additional

Published
2023
Full Text
View/download PDF

15. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomized trial

Author

Wang, Xiaoxia, Mobley, Alastair R, Tica, Otilia, Okoth, Kelvin, Ghosh, Rebecca E, Myles, Puja, Williams, Tim, Haynes, Sandra, Nirantharakumar, Krishnarajah, Shukla, David, Kotecha, Dipak, Beatty, Susan, Mehta, Samir, Breeze, Sophie, Lancaster, Karen, Fordyce, Stuart, Allen, Naomi, Calvert, Melanie, Denniston, Alastair, Gkoutos, George, Jayawardana, Sahan, Ball, Simon, Baigent, Colin, Brocklehurst, Peter, Lester, Will, McManus, Richard, Seri, Stefano, Valentine, Janet, Camm, A John, Moore, Dame Julie, Rogers, Amy, Stanbury, Mary, Flather, Marcus, Walker, Suzy, and Wang, Duolao

Abstract

Aims Improving the efficiency of clinical trials is key to their continued importance in directing evidence-based patient care. Digital innovations, in particular the use of electronic healthcare records (EHRs), allow for large-scale screening and follow up of participants. However, it is critical these developments are accompanied by robust and transparent methods that can support high-quality and high clinical value research. Methods and results The DaRe2THINK trial includes a series of novel processes, including nationwide pseudonymized pre screening of the primary-care EHR across England, digital enrolment, remote e-consent, and ‘no-visit’ follow up by linking all primary- and secondary-care health data with patient-reported outcomes. DaRe2THINK is a pragmatic, healthcare-embedded randomized trial testing whether earlier use of direct oral anticoagulants in patients with prior or current atrial fibrillation can prevent thromboembolic events and cognitive decline (www.birmingham.ac.uk/dare2think). This study outlines the systematic approach and methodology employed to define patient information and outcome events. This includes transparency on all medical code lists and phenotypes used in the trial across a variety of national data sources, including Clinical Practice Research Datalink Aurum (primary care), Hospital Episode Statistics (secondary care), and the Office for National Statistics (mortality). Conclusion Co-designed by a patient and public involvement team, DaRe2THINK presents an opportunity to transform the approach to randomized trials in the setting of routine healthcare, providing high-quality evidence generation in populations representative of the community at risk.

Published
2022

16. Digitally enabled decentralised research: opportunities to improve the efficiency of clinical trials and observational studies

Author

Aiyegbusi, Olalekan Lee, primary, Davies, Elin Haf, additional, Myles, Puja, additional, Williams, Tim, additional, Frost, Chris, additional, Haroon, Shamil, additional, Hughes, Sarah E, additional, Wilson, Roger, additional, McMullan, Christel, additional, Subramanian, Anuradhaa, additional, Nirantharakumar, Krishnarajah, additional, and Calvert, Melanie J, additional

Published
2023
Full Text
View/download PDF

19. Additional file 3 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 3. Association between healthcare workers’ characteristics and knowledge scores for cholera multisectoral interventions.

Published
2023
Full Text
View/download PDF

20. Additional file 4 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 4. The unadjusted ORs for the factors associated with HCWs’ knowledge of cholera interventions.

Published
2023
Full Text
View/download PDF

21. Additional file 2 of Healthcare workers knowledge of cholera multi-stranded interventions and its determining factors in North-East Nigeria: planning and policy implications

Author

Elimian, Kelly, King, Carina, Dewa, Ozius, Pembi, Emmanuel, Gandi, Benjamin, Yennan, Sebastian, Myles, Puja, Pritchard, Catherine, Forsberg, Birger Carl, and Alfvén, Tobias

Abstract

Additional file 2. STROBE Statement—checklist of items that should be included in reports of observational studies.

Published
2023
Full Text
View/download PDF

24. Epidemiology, diagnostics and factors associated with mortality during a cholera epidemic in Nigeria, October 2020–October 2021: a retrospective analysis of national surveillance data

Author

Elimian, Kelly, primary, Yennan, Sebastian, additional, Musah, Anwar, additional, Cheshi, Iliya Danladi, additional, King, Carina, additional, Dunkwu, Lauryn, additional, Mohammed, Ahmed Ladan, additional, Ekeng, Eme, additional, Akande, Oluwatosin Wuraola, additional, Ayres, Stephanie, additional, Gandi, Benjamin, additional, Pembi, Emmanuel, additional, Saleh, Fatima, additional, Omar, Ahmed Nasir, additional, Crawford, Emily, additional, Olopha, Olubunmi Omowumi, additional, Nnaji, Robinson, additional, Muhammad, Basheer, additional, Luka-Lawal, Rejoice, additional, Ihueze, Adachioma Chinonso, additional, Olatunji, David, additional, Ojukwu, Chidimma, additional, Akinpelu, Afolabi Muftau, additional, Adaga, Ene, additional, Abubakar, Yusuf, additional, Nwadiuto, Ifeoma, additional, Ngishe, Samuel, additional, Alowooye, Agnes Bosede, additional, Nwogwugwu, Peace Chinma, additional, Kamaldeen, Khadeejah, additional, Abah, Henry Nweke, additional, Chukwuebuka, Egbuna Hyacinth, additional, Yusuff, Hakeem Abiola, additional, Mamadu, Ibrahim, additional, Mohammed, Abbas Aliyu, additional, Peter, Sarah, additional, Abbah, Okpachi Christopher, additional, Oladotun, Popoola Michael, additional, Oifoh, Santino, additional, Olugbile, Micheal, additional, Agogo, Emmanuel, additional, Ndodo, Nnaemeka, additional, Babatunde, Olajumoke, additional, Mba, Nwando, additional, Oladejo, John, additional, Ilori, Elsie, additional, Alfvén, Tobias, additional, Myles, Puja, additional, Ochu, Chinwe Lucia, additional, Ihekweazu, Chikwe, additional, and Adetifa, Ifedayo, additional

Published
2022
Full Text
View/download PDF

26. COVID-19 mortality rate and its associated factors during the first and second waves in Nigeria

Author

Elimian, Kelly, primary, Musah, Anwar, additional, King, Carina, additional, Igumbor, Ehimario, additional, Myles, Puja, additional, Aderinola, Olaolu, additional, Erameh, Cyril, additional, Nwanchukwu, William, additional, Akande, Oluwatosin, additional, Nicaise, Ndembi, additional, Ogunbode, Oladipo, additional, Egwuenu, Abiodun, additional, Crawford, Emily, additional, Gaudenzi, Giulia, additional, Abdus-Salam, Ismail, additional, Olopha, Olubunmi, additional, Disu, Yahya, additional, Bowale, Abimbola, additional, Oshoma, Cyprian, additional, Ohonsi, Cornelius, additional, Arinze, Chinedu, additional, Badaru, Sikiru, additional, Ebhodaghe, Blessing, additional, Habib, Zaiyad, additional, Olugbile, Michael, additional, Dan-Nwafor, Chioma, additional, Abubakar, Jafiya, additional, Pembi, Emmanuel, additional, Dunkwu, Lauryn, additional, Ike, Ifeanyi, additional, Tobin, Ekaete, additional, Mutiu, Bamidele, additional, Luka-Lawal, Rejoice, additional, Nwafor, Obinna, additional, Okowa, Mildred, additional, Ezeokafor, Chidiebere, additional, Iwara, Emem, additional, Yennan, Sebastian, additional, Eziechina, Sunday, additional, Olatunji, David, additional, Falodun, Lanre, additional, Joseph, Emmanuel, additional, Abali, Ifeanyi, additional, Mohammed, Tarik, additional, Yiga, Benjamin, additional, Kamaldeen, Khadeejah, additional, Agogo, Emmanuel, additional, Mba, Nwando, additional, Oladejo, John, additional, Ilori, Elsie, additional, Aruna, Olusola, additional, Namara, Geoffrey, additional, Obaro, Stephen, additional, Hamza, Khadeejah, additional, Asuzu, Michael, additional, Bello, Shaibu, additional, Okonofua, Friday, additional, Deeni, Yusuf, additional, Abubakar, Ibrahim, additional, Alfven, Tobias, additional, Ochu, Chinwe, additional, and Ihekweazu, Chikwe, additional

Published
2022
Full Text
View/download PDF

27. Systematic approach to outcome assessment from coded electronic healthcare records in the DaRe2THINK NHS-embedded randomised trial

Author

Wang, Xiaoxia, primary, Mobley, Alastair R, additional, Tica, Otilia, additional, Okoth, Kelvin, additional, Ghosh, Rebecca E, additional, Myles, Puja, additional, Williams, Tim, additional, Haynes, Sandra, additional, Nirantharakumar, Krishnarajah, additional, Shukla, David, additional, and Kotecha, Dipak, additional

Published
2022
Full Text
View/download PDF

29. Therapies for Long COVID in non-hospitalised individuals: from symptoms, patient-reported outcomes and immunology to targeted therapies (The TLC Study)

Author

Haroon, Shamil, primary, Nirantharakumar, Krishnarajah, additional, Hughes, Sarah E, additional, Subramanian, Anuradhaa, additional, Aiyegbusi, Olalekan Lee, additional, Davies, Elin Haf, additional, Myles, Puja, additional, Williams, Tim, additional, Turner, Grace, additional, Chandan, Joht Singh, additional, McMullan, Christel, additional, Lord, Janet, additional, Wraith, David C, additional, McGee, Kirsty, additional, Denniston, Alastair K, additional, Taverner, Thomas, additional, Jackson, Louise J, additional, Sapey, Elizabeth, additional, Gkoutos, George, additional, Gokhale, Krishna, additional, Leggett, Edward, additional, Iles, Clare, additional, Frost, Christopher, additional, McNamara, Gary, additional, Bamford, Amy, additional, Marshall, Tom, additional, Zemedikun, Dawit T, additional, Price, Gary, additional, Marwaha, Steven, additional, Simms-Williams, Nikita, additional, Brown, Kirsty, additional, Walker, Anita, additional, Jones, Karen, additional, Matthews, Karen, additional, Camaradou, Jennifer, additional, Saint-Cricq, Michael, additional, Kumar, Sumita, additional, Alder, Yvonne, additional, Stanton, David E, additional, Agyen, Lisa, additional, Baber, Megan, additional, Blaize, Hannah, additional, and Calvert, Melanie, additional

Published
2022
Full Text
View/download PDF

30. Assessment of 115 symptoms for Long COVID (post-COVID-19 condition) and their risk factors in non-hospitalised individuals: a retrospective matched cohort study in UK primary care

Author

Subramanian, Anuradhaa, primary, Nirantharakumar, Krishnarajah, additional, Hughes, Sarah, additional, Myles, Puja, additional, Williams, Tim, additional, Gokhale, Krishna, additional, Taverner, Tom, additional, Chandan, Joht, additional, Brown, Kirsty, additional, Simms-Williams, Nikita, additional, Shah, Anoop, additional, Singh, Megha, additional, Kidy, Farah, additional, Okoth, Kelvin, additional, Hotham, Richard, additional, Bashir, Nasir, additional, Cockburn, Neil, additional, Lee, Siang, additional, Turner, Grace, additional, Gkoutos, Georgios, additional, Aiyegbusi, Olalekan Lee, additional, McMullan, Christel, additional, Denniston, Alastair, additional, Sapey, Elizabeth, additional, Lord, Janet, additional, Wraith, David, additional, Leggett, Edward, additional, Iles, Clare, additional, Marshall, Tom, additional, Price, Malcolm, additional, Marwaha, Steven, additional, Davies, Elin, additional, Jackson, Louise, additional, Camaradou, Jenny, additional, Calvert, Melanie, additional, and Haroon, Shamil, additional

Published
2022
Full Text
View/download PDF

31. Quality of rheumatoid arthritis recording in United Kingdom Clinical Practice Research Datalink Aurum.

Author

Vasilakis‐Scaramozza, Catherine, Hagberg, Katrina Wilcox, Persson, Rebecca, Yelland, Eleanor, Williams, Tim, Myles, Puja, and Jick, Susan S.

Abstract

Purpose: While several studies have assessed quality and completeness of recording acute medical events in Clinical Practice Research Datalink (CPRD) Aurum, evaluation of additional chronic conditions is warranted. Methods: We selected patients with a first diagnosis of rheumatoid arthritis (RA) coded in their CPRD Aurum record between 2005 and 2019. We assessed quality of RA diagnosis by evaluating additional information in the patient record that would corroborate the diagnosis. We report recording of diagnoses, prescriptions, labs, and referrals expected to be present based on NICE guidelines for RA management. Results: There were 53 083 patients with a first recorded RA diagnosis during the study period: 43606 (82%) patients had RA drug treatments in their record, 7596 (14%) had supporting codes without drug treatment, and 1881 (4%) patients had only a RA diagnoses recorded in their medical record with no supporting codes or RA treatments. Patients with RA diagnosis only were more likely to be first diagnosed in the earliest time period of study. Labs for diagnosing and monitoring RA were most common among patients with RA treatment. Analgesic and glucocorticoid prescriptions were common in all study patients but were highest among patients with RA treatment. Among patients with RA diagnosis only, the overwhelming majority had only one RA diagnosis recorded (76%). Conclusions: Our findings suggest that codes expected for monitoring and treatment of RA are routinely recorded in CPRD Aurum. These results support previous assessments, which found data recorded in CPRD Aurum to be of good quality for use in research. [ABSTRACT FROM AUTHOR]

Published
2023
Full Text
View/download PDF

33. Therapies for Long COVID in non-hospitalised individuals - from symptoms, patient-reported outcomes, and immunology to targeted therapies (The TLC Study): Study protocol

Author

Haroon, Shamil, primary, Nirantharakumar, Krishnarajah, additional, Hughes, Sarah E, additional, Subramanian, Anuradhaa, additional, Aiyegbusi, Olalekan Lee, additional, Davies, Elin Haf, additional, Myles, Puja, additional, Williams, Tim, additional, Turner, Grace M, additional, Chandan, Joht Singh, additional, McMullan, Christel, additional, Lord, Janet, additional, Wraith, David, additional, McGee, Kirsty, additional, Denniston, Alastair, additional, Taverner, Tom, additional, Jackson, Louise, additional, Sapey, Elizabeth, additional, Gkoutos, Georgios, additional, Gokhale, Krishna, additional, Leggett, Edward, additional, Iles, Clare, additional, Frost, Christopher, additional, McNamara, Gary, additional, Bamford, Amy, additional, Marshall, Tom, additional, Zemedikun, Dawit, additional, Price, Gary, additional, Marwaha, Steven, additional, Simms-Williams, Nikita, additional, Brown, Kirsty, additional, Walker, Anita, additional, Jones, Karen, additional, Matthews, Karen, additional, Camaradou, Jennifer, additional, Saint-Cricq, Michael, additional, Kumar, Sumita, additional, Alder, Yvonne, additional, Stanton, David E., additional, Agyen, Lisa, additional, Baber, Megan, additional, Blaize, Hannah, additional, and Calvert, Melanie, additional

Published
2021
Full Text
View/download PDF

34. Assessing the capacity of symptom scores to predict COVID-19 positivity in Nigeria: a national derivation and validation cohort study

Author

Elimian, Kelly Osezele, primary, Aderinola, Olaolu, additional, Gibson, Jack, additional, Myles, Puja, additional, Ochu, Chinwe Lucia, additional, King, Carina, additional, Okwor, Tochi, additional, Gaudenzi, Giulia, additional, Olayinka, Adebola, additional, Zaiyad, Habib Garba, additional, Ohonsi, Cornelius, additional, Ebhodaghe, Blessing, additional, Dan-Nwafor, Chioma, additional, Nwachukwu, William, additional, Abdus-salam, Ismail Adeshina, additional, Akande, Oluwatosin Wuraola, additional, Falodun, Olanrewaju, additional, Arinze, Chinedu, additional, Ezeokafor, Chidiebere, additional, Jafiya, Abubakar, additional, Ojimba, Anastacia, additional, Aremu, John Tunde, additional, Joseph, Emmanuel, additional, Bowale, Abimbola, additional, Mutiu, Bamidele, additional, Saka, Babatunde, additional, Jinadu, Arisekola, additional, Hamza, Khadeejah, additional, Ibeh, Christian, additional, Bello, Shaibu, additional, Asuzu, Michael, additional, Mba, Nwando, additional, Oladejo, John, additional, Ilori, Elsie, additional, Alfvén, Tobias, additional, Igumbor, Ehimario, additional, and Ihekweazu, Chikwe, additional

Published
2021
Full Text
View/download PDF

38. The potential synergies between synthetic data and in silicotrials in relation to generating representative virtual population cohorts

Author

Myles, Puja, Ordish, Johan, and Tucker, Allan

Abstract

In silicotrial methods promise to improve the path to market for both medicines and medical devices, targeting the development of products, reducing reliance on animal trials, and providing adjunct evidence to bolster regulatory submissions. In silicotrials are only as good as the simulated data which underpins them, consequently, often the most difficult challenge when creating robust in silicomodels is the generation of simulated measurements or even virtual patients that are representative of real measurements and patients. This article digests the current state of the art for generating synthetic patient data outside the context of in silicotrials and outlines potential synergies to unlock the potential of in silicotrials using virtual populations, by exploiting synthetic patient data to model effects on a more diverse and representative population. Synthetic data could be defined as artificial data that mimic the properties and relationships in real data. Recent advances in synthetic data generation methodologies have allowed for the generation of high-fidelity synthetic data that are both statistically and clinically, indistinguishable from real patient data. Other experimental work has demonstrated that synthetic data generation methods can be used for selective sample boosting of underrepresented groups. This article will provide a brief outline of synthetic data generation approaches and discuss how evaluation frameworks developed to assess synthetic data fidelity and utility could be adapted to evaluate the similarity of virtual patients used for in silicotrials, to real patients. The article will then discuss outstanding challenges and areas for further research that would advance both synthetic data generation methods and in silicotrial methods. Finally, the article will also provide a perspective on what evidence will be required to facilitate wider acceptance of in silicotrials for regulatory evaluation of medicines and medical devices, including implications for post marketing safety surveillance.

Published
2023
Full Text
View/download PDF

39. Use of Primary Care Data in Research and Pharmacovigilance: Eight Scenarios Where Prescription Data are Absent

Author

Puja R. Myles, Ian C. K. Wong, Duncan Edwards, Hilary Shepherd, Grace N Okoli, Tarita Murray-Thomas, Okoli, Grace N [0000-0002-1740-4058], Myles, Puja [0000-0002-8976-890X], Shepherd, Hilary [0000-0001-7794-4155], Wong, Ian C K [0000-0001-8242-0014], Edwards, Duncan [0000-0003-1500-2108], Apollo - University of Cambridge Repository, Okoli, Grace N. [0000-0002-1740-4058], Wong, Ian C. K. [0000-0001-8242-0014], and Wong, Ian CK [0000-0001-8242-0014]

Subjects
Pharmacology, medicine.medical_specialty, Sexual health clinic, Medication history, Primary Health Care, business.industry, MEDLINE, Pharmacy, Review Article, Toxicology, medicine.disease, Drug Prescriptions, Electronic Prescribing, Pharmacovigilance, Family planning, Family medicine, Acute care, medicine, Ambulatory Care, Humans, Pharmacology (medical), Medical prescription, business
Abstract

The use of primary care databases has been integral in pharmacoepidemiological studies and pharmacovigilance. Primary care databases derive from electronic health records and offer a comprehensive description of aggregate patient data, from demography to medication history, and good sample sizes. Studies using these databases improve our understanding of prescribing characteristics and associated risk factors to facilitate better patient care, but there are limitations. We describe eight key scenarios where study data outcomes can be affected by absent prescriptions in UK primary care databases: (1) out-of-hours, urgent care and acute care prescriptions; (2) specialist-only prescriptions; (3) alternative community prescribing, such as pharmacy, family planning clinic or sexual health clinic medication prescriptions; (4) newly licensed medication prescriptions; (5) medications that do not require prescriptions; (6) hospital inpatient and outpatient prescriptions; (7) handwritten prescriptions; and (8) private pharmacy and private doctor prescriptions. The significance of each scenario is dependent on the type of medication under investigation, nature of the study and expected outcome measures. We recommend that all researchers using primary care databases be aware of the potential for missing prescribing data and be sensitive to how this can vary substantially between items, drug classes, patient groups and over time. Close liaison with practising primary care clinicians in the UK is often essential to ensure awareness of nuances in clinical practice.

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results