Well being of obstetric patients on minimal blood transfusions (WOMB trial)

Background: Primary postpartum haemorrhage is an obstetrical emergency often causing acute anaemia that may require immediate red blood cell (RBC) transfusion. This anaemia results in symptoms such as fatigue, whic

Prediction of escape red blood cell transfusion in expectantly managed women with acute anaemia after postpartum haemorrhage

ObjectiveTo determine clinical predictors of escape red blood cell (RBC) transfusion in postpartum anaemic women, initially managed expectantly, and the additional predictive value of health-related quality of life (HRQoL) measures. DesignSecondary analysis of women after postpartum haemorrhage, either randomly allocated to, or opting for expectant management. SettingThirty-seven hospitals in the Netherlands. PopulationA total of 261 randomised and 362 nonrandomised women. MethodsWe developed prediction models to assess the need for RBC transfusion: one using clinical variables (model 1), and one extended with scores on the HRQoL-measures Multidimensional Fatigue Inventory (MFI) and EuroQol-5D (model 2). Model performance was assessed by discrimination and calibration. Models were internally validated with bootstrapping techniques to correct for overfitting. Main outcome measuresEscape RBC transfusion. ResultsSeventy-five women (12%) received escape RBC transfusion. Independent predictors of escape RBC transfusion (model 1) were primiparity, multiple pregnancy, total blood loss during delivery and haemoglobin concentration postpartum. Maternal age, body mass index, ethnicity, education, medical indication of pregnancy, mode of delivery, preterm delivery, placental removal, perineal laceration, Apgar score and breastfeeding intention had no predictive value. Addition of HRQoL-scores (model 2), significantly improved the model's discriminative ability: c-statistics of model 1 and 2 were 0.65 (95% CI 0.58-0.72) and 0.72 (95% CI 0.65-0.79), respectively. The calibration of both models was good. ConclusionsIn postpartum anaemic women, several clinical variables predict the need for escape RBC transfusion. Adding HRQoL-scores improves model performance. After external validation, the extended model may be an important tool for counselling and decision making in clinical practice

Development of an online patient decision aid for kidney failure treatment modality decisions

Background: Patient decision aids (PtDAs) support patients and clinicians in shared decision-making (SDM). Real-world outcome information may improve patients' risk perception, and help patients make decisions congruent with their expectations and values. Our aim was to develop an online PtDA to support kidney failure treatment modality decision-making, that: 1) provides patients with real-world outcome information, and 2) facilitates SDM in clinical practice. Methods: The International Patient Decision Aids Standards (IPDAS) development process model was complemented with a user-centred and convergent mixed-methods approach. Rapid prototyping was used to develop the PtDA with a multidisciplinary steering group in an iterative process of co-creation. The results of an exploratory evidence review and a needs-assessment among patients, caregivers, and clinicians were used to develop the PtDA. Seven Dutch teaching hospitals and two national Dutch outcome registries provided real-world data on selected outcomes for all kidney failure treatment modalities. Alpha and beta testing were performed to assess the prototype and finalise development. An implementation strategy was developed to guide implementation of the PtDA in clinical practice. Results: The 'Kidney Failure Decision Aid' consists of three components designed to help patients and clinicians engage in SDM: 1) a paper hand-out sheet, 2) an interactive website, and 3) a personal summary sheet. A 'patients-like-me' infographic was developed to visualise survival probabilities for each treatment modality on the website. Other treatment outcomes were incorporated as event rates (e.g. hospitalisation rates) or explained in text (e.g. the flexibility of each treatment modality). No major revisions were needed after alpha and beta testing. During beta testing, some patients ignored the survival probabilities because they considered these too confronting. Nonetheless, patients agreed that every patient has the right to choose whether they want to view this information. Patients and clinicians believed that the PtDA would help patients make informed decisions, and that it would support values- and preferences-based decision-making. Implementation of the PtDA has started in October 2020. Conclusions: The 'Kidney Failure Decision Aid' was designed to facilitate SDM in clinical practice and contains real-world outcome information on all kidney failure treatment modalities. It is currently being investigated for its effects on SDM in a clinical trial.</p

Development of an online patient decision aid for kidney failure treatment modality decisions

Background Patient decision aids (PtDAs) support patients and clinicians in shared decision-making (SDM). Real-world outcome information may improve patients' risk perception, and help patients make decisions congruent with their expectations and values. Our aim was to develop an online PtDA to support kidney failure treatment modality decision-making, that: 1) provides patients with real-world outcome information, and 2) facilitates SDM in clinical practice. Methods The International Patient Decision Aids Standards (IPDAS) development process model was complemented with a user-centred and convergent mixed-methods approach. Rapid prototyping was used to develop the PtDA with a multidisciplinary steering group in an iterative process of co-creation. The results of an exploratory evidence review and a needs-assessment among patients, caregivers, and clinicians were used to develop the PtDA. Seven Dutch teaching hospitals and two national Dutch outcome registries provided real-world data on selected outcomes for all kidney failure treatment modalities. Alpha and beta testing were performed to assess the prototype and finalise development. An implementation strategy was developed to guide implementation of the PtDA in clinical practice. Results The 'Kidney Failure Decision Aid' consists of three components designed to help patients and clinicians engage in SDM: 1) a paper hand-out sheet, 2) an interactive website, and 3) a personal summary sheet. A 'patients-like-me' infographic was developed to visualise survival probabilities for each treatment modality on the website. Other treatment outcomes were incorporated as event rates (e.g. hospitalisation rates) or explained in text (e.g. the flexibility of each treatment modality). No major revisions were needed after alpha and beta testing. During beta testing, some patients ignored the survival probabilities because they considered these too confronting. Nonetheless, patients agreed that every patient has the right to choose whether they want to view this information. Patients and clinicians believed that the PtDA would help patients make informed decisions, and that it would support values- and preferences-based decision-making. Implementation of the PtDA has started in October 2020. Conclusions The 'Kidney Failure Decision Aid' was designed to facilitate SDM in clinical practice and contains real-world outcome information on all kidney failure treatment modalities. It is currently being investigated for its effects on SDM in a clinical trial.Analysis and support of clinical decision makin