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OECD Health ministers commit to patient reported measures of performance

Transparency, accountability, and public partnership are critical

To describe the development, validation and inter-rater reliability of an instrument to measure the quality of patient decision support technologies (decision aids). Scale development study, involving construct, item and scale development, validation and reliability testing. There has been increasing use of decision support technologies--adjuncts to the discussions clinicians have with patients about difficult decisions. A global interest in developing these interventions exists among both for-profit and not-for-profit organisations. It is therefore essential to have internationally accepted standards to assess the quality of their development, process, content, potential bias and method of field testing and evaluation. Scale development study, involving construct, item and scale development, validation and reliability testing. Twenty-five researcher-members of the International Patient Decision Aid Standards Collaboration worked together to develop the instrument (IPDASi). In the fourth Stage (reliability study), eight raters assessed thirty randomly selected decision support technologies. IPDASi measures quality in 10 dimensions, using 47 items, and provides an overall quality score (scaled from 0 to 100) for each intervention. Overall IPDASi scores ranged from 33 to 82 across the decision support technologies sampled (n = 30), enabling discrimination. The inter-rater intraclass correlation for the overall quality score was 0.80. Correlations of dimension scores with the overall score were all positive (0.31 to 0.68). Cronbach's alpha values for the 8 raters ranged from 0.72 to 0.93. Cronbach's alphas based on the dimension means ranged from 0.50 to 0.81, indicating that the dimensions, although well correlated, measure different aspects of decision support technology quality. A short version (19 items) was also developed that had very similar mean scores to IPDASi and high correlation between short score and overall score 0.87 (CI 0.79 to 0.92). This work demonstrates that IPDASi has the ability to assess the quality of decision support technologies. The existing IPDASi provides an assessment of the quality of a DST's components and will be used as a tool to provide formative advice to DSTs developers and summative assessments for those who want to compare their tools against an existing benchmark.

We can’t rely on large datasets and apps alone to give everyone a voice in health care: local support and action is equally important, write Chris Graham and Angela Coulter

Introduction The use of patient reported outcome measures (PROMs) has increased during the past decade, and the focus on how to use them has resulted in a more proactive application. Studies have shown that proactive use of PROMs during treatment improves patient-clinician communication, leads to better symptom management and may prolong survival among advanced cancer patients. Ovarian cancer is a serious disease in which the majority of patients experience recurrence during the follow-up period and suffer from a number of severe symptoms from underlying disease. This systematic review was conducted to assess the evidence on the proactive use of PROMs as a dialogue tool during follow-up of ovarian cancer patients. Results The following databases were searched for relevant literature; PubMed, EMBASE, CINAHL, and the Cochrane Library. The search was conducted in April 2019 without any filters or limits. A total of 643 publications were identified, and 48 studies were found to be potentially eligible. Of the 48 papers, none met the final inclusion criterion of using PROMs proactively as a dialogue tool for ovarian cancer patients during follow-up. Conclusion Studies have shown that PROMs can identify otherwise undetected symptoms. Using PROMs proactively during the consultation has been shown to improve symptom management for patients with some other types of cancer. However, we found no studies that had examined the proactive use of PROMs during follow-up of ovarian cancer patients. Future studies should evaluate if the proactive use of PROMs could facilitate a more individualized and more effective follow-up program tailored to the ovarian cancer patient’s needs and preferences.

Patient experience reflects quality of care from the patients' perspective; therefore, patients' experiences are important data in the evaluation of the quality of health services. The development of an abbreviated, reliable and valid instrument for measuring inpatients' experience would reflect the key aspect of inpatient care from patients' perspective as well as facilitate quality improvement by cultivating patient engagement and allow the trends in patient satisfaction and experience to be measured regularly. The study developed a short-form inpatient instrument and tested its ability to capture a core set of inpatients' experiences. The Hong Kong Inpatient Experience Questionnaire (HKIEQ) was established in 2010; it is an adaptation of the General Inpatient Questionnaire of the Care Quality Commission created by the Picker Institute in United Kingdom. This study used a consensus conference and a cross-sectional validation survey to create and validate a short-form of the Hong Kong Inpatient Experience Questionnaire (SF-HKIEQ). The short-form, the SF-HKIEQ, consisted of 18 items derived from the HKIEQ. The 18 items mainly covered relational aspects of care under four dimensions of the patient's journey: hospital staff, patient care and treatment, information on leaving the hospital, and overall impression. The SF-HKIEQ had a high degree of face validity, construct validity and internal reliability. The validated SF-HKIEQ reflects the relevant core aspects of inpatients' experience in a hospital setting. It provides a quick reference tool for quality improvement purposes and a platform that allows both healthcare staff and patients to monitor the quality of hospital care over time.

Background Shared decision making (SDM) is a systematic approach aimed at improving patient involvement in preference-sensitive health care decisions. Choosing between surgical or non-surgical treatment for lumbar disc herniation, can be difficult as the evidence of a superior treatment is unclear, which makes it a preference-sensitive decision. The objectives of this study was therefore to assess the degree of SDM and afterwards to develop and test a patient decision aid (PtDA) to support SDM during the clinical encounter between surgeon and patient, when patients choose between surgical and non-surgical treatment for Lumbar disc herniation (LDH). Methods The study was conducted in four steps. Assessment of the extent to which SDM was practiced in the spine clinic. Development of a PtDA to support SDM. Testing its usability and acceptability amongst potential users (patients). Pilot-test of its usability in the clinical setting. Results Results from our small baseline study ( n  = 40) showed that between a third and two-thirds of the patients reported not being fully engaged in a shared decision. A pre-designed template ( BESLUTNINGSHJÆLPER ™) was adapted to support the decision about whether or not to have surgery for LDH. Testing the prototype with patients led to minor refinements. A subsequent pilot test of its usability in a clinical setting achieved positive responses from both patients and clinicians. Conclusion Our baseline study demonstrated that SDM was not universally practiced in the clinic. The PtDA we have developed was rated as acceptable and usable by both patients and clinicians for helping those with LDH choose between surgical or non- surgical treatment. This tool now requires further testing to assess its effectiveness.

A mixed bag of poorly evaluated methods leaves patients frustrated, and doctors little wiser