Luís André Monteiro

Prof. Luís André Monteiro

University of Porto, CINTESIS – Center for Health Technology and Services Research, Porto, Portugal
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Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 November 2019 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Luís André MonteiroLuís André Monteiro
Luís André Monteiro
TMTiago Maricoto
Tiago Maricoto
ISIsabel Solha
Isabel Solha
IRInês Ribeiro-Vaz
Inês Ribeiro-Vaz
Carlos MartinsCarlos Martins
Carlos Martins
Matilde Monteiro-SoaresMatilde Monteiro-Soares
Matilde Monteiro-Soares
Background: Older adults are more vulnerable to polypharmacy and prescriptions of potentially inappropriate medications. There are several ways to address polypharmacy to prevent its occurrence. We focused on computerized decision support tools. Objective: The available literature was reviewed to understand whether computerized decision support tools reduce potentially inappropriate prescriptions or potentially inappropriate medications in older adult patients and affect health outcomes. Methods: Our systematic review was conducted by searching the literature in the MEDLINE, CENTRAL, EMBASE, and Web of Science databases for interventional studies published through February 2018 to assess the impact of computerized decision support tools on potentially inappropriate medications and potentially inappropriate prescriptions in people aged 65 years and older. Results: A total of 3756 articles were identified, and 16 were included. More than half (n=10) of the studies were randomized controlled trials, one was a crossover study, and five were pre-post intervention studies. A total of 266,562 participants were included; of those, 233,144 participants were included and assessed in randomized controlled trials. Intervention designs had several different features. Computerized decision support tools consistently reduced the number of potentially inappropriate prescriptions started and mean number of potentially inappropriate prescriptions per patient. Computerized decision support tools also increased potentially inappropriate prescriptions discontinuation and drug appropriateness. However, in several studies, statistical significance was not achieved. A meta-analysis was not possible due to the significant heterogeneity among the systems used and the definitions of outcomes. Conclusions: Computerized decision support tools may reduce potentially inappropriate prescriptions and potentially inappropriate medications. More randomized controlled trials assessing the impact of computerized decision support tools that could be used both in primary and secondary health care are needed to evaluate the use of medication targets defined by the Beers or STOPP (Screening Tool of Older People’s Prescriptions) criteria, adverse drug reactions, quality of life measurements, patient satisfaction, and professional satisfaction with a reasonable follow-up, which could clarify the clinical usefulness of these tools. Trial Registration: International Prospective Register of Systematic Reviews (PROSPERO) CRD42017067021; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42017067021

6 October 2018 in Journal of the American Geriatrics Society
Verified
Journal Article
Closed access
PDF file
TMTiago Maricoto
Tiago Maricoto
Luís André MonteiroLuís André Monteiro
Luís André Monteiro
JGJorge Gama
Jorge Gama
JCJaime Correia‐De‐Sousa
Jaime Correia‐De‐Sousa
LTLuis Taborda-Barata
Luis Taborda-Barata

5 May 2023 in BMJ Open
Verified
Journal Article
Open access
PDF file
MCMafalda Simões Cunha
Mafalda Simões Cunha
RARita Amaral
Rita Amaral
APAna Margarida Pereira
Ana Margarida Pereira
RARute Almeida
Rute Almeida
MAMagna Alves-Correia
Magna Alves-Correia
CJCristina Jácome
Cristina Jácome
Objectives Anxiety and depression are relevant comorbidities in asthma, but, in Portugal and Spain, data on this topic are scarce. We assessed, in patients with asthma, the frequency of anxiety and depression using the Hospital Anxiety and Depression Scale (HADS) and the European Quality of Life Five Dimension Questionnaire (EQ-5D); the level of agreement between these questionnaires, and the factors associated with these symptoms. Methods This is a secondary analysis of the INSPIRERS studies. A total of 614 adolescents and adults with persistent asthma (32.6±16.9 years, 64.7% female) were recruited from 30 primary care centres and 32 allergy, pulmonology and paediatric clinics. Demographic and clinical characteristics, HADS and EQ-5D were collected. A score ≥8 on Hospital Anxiety and Depression Scale-Anxiety/Hospital Anxiety and Depression Scale-Depression or a positive answer to EQ-5D item 5 indicated the presence of these symptoms. Agreement was determined by Cohen’s kappa. Two multivariable logistic regressions were built. Results According to HADS, 36% of the participants had symptoms of anxiety and 12% of depression. According to EQ-5D, 36% of the participants had anxiety/depression. The agreement between questionnaires in identifying anxiety/depression was moderate (k=0.55, 95% CI 0.48 to 0.62). Late asthma diagnosis, comorbidities and female gender were predictors of anxiety/depression, while better asthma control, health-related quality of life and perception of health were associated with lower odds for anxiety/depression. Conclusion At least 1/3 of the patients with persistent asthma experience symptoms of anxiety/depression, showing the relevance of screening these disorders in patients with asthma. EQ-5D and HADS questionnaires showed a moderate agreement in the identification of anxiety/depression symptoms. The identified associated factors need to be further investigated in long-term studies.

Luís André MonteiroLuís André Monteiro
Luís André Monteiro
Matilde Monteiro-SoaresMatilde Monteiro-Soares
Matilde Monteiro-Soares
CMCristiano Matos
Cristiano Matos
IRInês Ribeiro-Vaz
Inês Ribeiro-Vaz
Andreia TeixeiraAndreia Teixeira
Andreia Teixeira
Carlos MartinsCarlos Martins
Carlos Martins
Inappropriate prescribing, which encompasses the prescription of potentially inappropriate medications (PIMs) and potential prescribing omissions (PPOs), is a common problem for older people. The STOPP/START tool enables general practitioners, who are the main prescribers, to identify and reduce the incidence of PIMs and PPOs and appraise an older patient’s prescribed drugs during the diagnosis process to improve the clinical care quality. This study aimed to translate and validate the STOPP/START screening tool to enable its use by Portuguese physicians. A translation-back translation method including the validation of the obtained Portuguese version was used. Intra- and inter-rater reliability and agreement analyses were used in the validation process. A dataset containing the information of 334 patients was analyzed by one GP twice within a 2-week interval, while a dataset containing the information of 205 patients was independently analyzed by three GPs. Intra-rater reliability assessment led to a Kappa coefficient (κ) of 0.70 (0.65–0.74) for the STOPP criteria and 0.60 (0.52–0.68) for the START criteria, considered to be substantial and moderate values, respectively. The results of the inter-rater reliability rating were almost perfect for all combinations of raters (κ > 0.93). The version of the STOPP/START criteria translated into Portuguese represents an improvement in managing the medications prescribed to the elderly. It provides clinicians with a screening tool for detecting potentially inappropriate prescribing in patients older than 65 years old that is reliable and easy to use.

22 December 2021 in BMJ Open
Verified
Journal Article
Open access
PDF file
LCLeonor Marques Caetano Carreira
Leonor Marques Caetano Carreira
SDSara Dinis
Sara Dinis
ACAntónio Correia
António Correia
APAntónio Pereira
António Pereira
RBRegina Belo
Regina Belo
IRInês Rosendo
Inês Rosendo
Objectives To understand the influence of the white coat on patient satisfaction, opinions about medical clothing, perception about confidence, empathy and medical knowledge and the satisfaction and comfort level of physicians in consultation. Setting An interventional study was conducted with a representative sample of the population attending primary care in central Portugal. Participants The sample was composed by 286 patients divided into two groups exposed or not to a doctor wearing a white coat. The first and last patients in consultation every day for 10 consecutive days were included. Interventions Every other day the volunteer physicians consulted with or without the use of a white coat. At the end of the consultation, a questionnaire was distributed to the patient with simple questions with a Likert scale response, the Portuguese version of the ‘Trust in physician’ scale and the Jefferson Scale of Patient Perceptions of Physician Empathy - Portuguese Version (JSPPPE-VP scale). A questionnaire was also distributed to the physician. Outcomes Planned and measured primary outcomes were patient satisfaction, trust and perception about empathy and secondary outcomes were opinion about medical clothing, satisfaction and comfort level of physicians in consultation. Results The sample was homogeneous in terms of sociodemographic variables. There were no statistically significant differences between the groups in terms of satisfaction, trust, empathy and knowledge perceived by the patients. There were differences in the opinion of the patients about the white coat, and when the physician was wearing the white coat this group of patients tended to think that this was the only acceptable attire for the physician (p<0.001). But when the family physician was in consultation without the white coat, this group of patients tended to agree that communication was easier (p=0.001). Conclusions There was no significant impact of the white coat in patient satisfaction, empathy and confidence in the family physician. Trial registration number ClinicalTrials.gov ID number: NCT03965416.

30 January 2018 in BMJ Open
Verified
Journal Article
Open access
Luís André MonteiroLuís André Monteiro
Luís André Monteiro
TMTiago Maricoto
Tiago Maricoto
ISIsabel S Solha
Isabel S Solha
Matilde Monteiro-SoaresMatilde Monteiro-Soares
Matilde Monteiro-Soares
Carlos MartinsCarlos Martins
Carlos Martins
Introduction Life expectancy continues to increase in developed countries. Elderly people are more likely to consume more medications and become vulnerable to age-related changes in drugs’ pharmacokinetics and pharmacodynamics. Recent studies have identified opportunities and barriers for deprescribing potentially inappropriate medications. It has already been demonstrated that computerised decision support systems can reduce physician orders for unnecessary tests. We will systematically review the available literature to understand if computerised decision support is effective in reducing the use of potentially inappropriate medications, thus having an impact on health outcomes. Methods and analysis A systematic review will be conducted using MEDLINE, CENTRAL, EMBASE and Web of Science databases, as well as the grey literature assessing the effectiveness of computer decision support interventions in deprescribing inappropriate medication, with an impact on health outcomes in the elderly. The search will be performed during January and February 2018. Two reviewers will conduct articles’ screening, selection and data extraction, independently and blind to each other. Eligible sources will be selected after discussing non-conformities. All extracted data from the included articles will be assessed based on studies’ participants, design and setting, methodological quality, bias and any other potential sources of heterogeneity. This review will be conducted and reported in adherence to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses statement of quality for reporting systematic reviews and meta-analyses. Ethics and dissemination As a systematic review, this research is exempt from ethical approval. We intend to publish the full article in a related peer-reviewed journal and present it at international conferences. PROSPEROregistration number CRD42017067021.