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1.
J Med Screen ; 18(2): 96-102, 2011.
Artigo em Inglês | MEDLINE | ID: mdl-21852703

RESUMO

OBJECTIVE: To assess the feasibility and acceptability of randomizing the phased introduction of the extension of the invited age range in the National Health Service (NHS) Breast Screening Programme in England from 50-70 to 47-73 years. SETTING: Six volunteer breast screening units (BSUs) in England. METHODS: Cluster-randomized trial of invitation versus no invitation for breast screening. STUDY PARTICIPANTS: women aged 47-49 and 71-73 years in screening batches randomized between 1 June 2009 and 31 May 2010. OUTCOMES: workload, screening uptake among women invited, self-referrals among women not invited, and screening outcomes among women invited. RESULTS: A total of 312 screening batches (clusters) were randomized including 60,708 women. Screening uptake was 63% in women aged 47-49 and 62% in women aged 71-73. Those who attended screening in the younger age group were more likely to be recalled for assessment than older attendees (7.5% vs. 3.0%) but less likely to be diagnosed with breast cancer (0.5% vs. 1.1%). Among women not invited, 0.2% of those aged 47-49 and 6.8% of those aged 71-73 self-referred for screening. Despite the extra workload BSUs largely coped although there was some slippage in round lengths and other targets. CONCLUSION: No major problems of feasibility or acceptability of randomization were found. This pilot study has informed the randomized phasing-in of the age extension across the whole of England.


Assuntos
Neoplasias da Mama/diagnóstico , Programas de Rastreamento/estatística & dados numéricos , Idoso , Inglaterra , Feminino , Humanos , Pessoa de Meia-Idade , Projetos Piloto
2.
Stud Health Technol Inform ; 121: 191-7, 2006.
Artigo em Inglês | MEDLINE | ID: mdl-17095817

RESUMO

Reducing mortality from breast cancer through screening has been accepted as a viable tool and breast screening has attracted a lot of attention from healthcare organisations worldwide. Government funded screening programmes in Europe, the Americas and Australia have made good progress in diagnosing and treating breast cancer through effective screening programmes. The UK's National Health Service (NHS) National Screening Programme manages one of the biggest publicly funded breast screening programmes. In the UK, only 75% of the intended population is screened and a diverse set of efforts has attempted to identify and initiate countermeasures to improve screening attendance. This paper identifies how innovative use of information and communication technologies (ICTs) can be the focus for strategising not only improved screening attendance but also better quality of care for women.


Assuntos
Neoplasias da Mama/prevenção & controle , Sistemas de Apoio a Decisões Clínicas , Sistemas Inteligentes , Medicina de Família e Comunidade/normas , Mamografia/estatística & dados numéricos , Programas de Rastreamento/estatística & dados numéricos , Idoso , Algoritmos , Neoplasias da Mama/diagnóstico por imagem , Medicina de Família e Comunidade/métodos , Feminino , Humanos , Pessoa de Meia-Idade , Aceitação pelo Paciente de Cuidados de Saúde , Medicina Estatal , Reino Unido
3.
Conf Proc IEEE Eng Med Biol Soc ; 2006: 4070-3, 2006.
Artigo em Inglês | MEDLINE | ID: mdl-17945822

RESUMO

Knowledge management (KM) is rapidly becoming established as a core organizational element within the healthcare industry to assist in the delivery of better patient care. KM is a cyclical process which typically starts with knowledge creation (KC), progresses to knowledge sharing, knowledge accessibility and eventually results in new KC (in the same or a related domain). KC plays a significant role in KM as it creates the necessary "seeds" for propagating many more knowledge cycles. This paper addresses the potential of KC in the context of the UK's National Health Service (NHS) breast screening service. KC can be automated to a greater extent by embedding processes within an artificial intelligence (AI) based environment. The UK breast screening service is concerned about non-attendance and this paper discusses issues pertaining to increasing attendance.


Assuntos
Inteligência Artificial , Neoplasias da Mama/epidemiologia , Programas de Rastreamento/métodos , Feminino , Conhecimentos, Atitudes e Prática em Saúde , Humanos , Conhecimento , Medicina Estatal , Reino Unido/epidemiologia
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