Characteristics of constipation screening and assessment tools: a scoping review protocol.

INTRODUCTION: Constipation is a common and significant burden on individuals and healthcare systems. Accurate assessment of constipation severity and symptom improvement are vital aspects of caring for patients with constipation. Therefore, nurses and allied healthcare professionals should possess knowledge regarding the characteristics of constipation assessment tools (ie, aim, scope, definition of constipation, content, structure, mode, administration time and context of use). However, existing reviews summarising characteristics of tools have been restricted to chronic constipation and self-reported measures. Furthermore, they have not included literature published after 2011. This scoping review aims to identify and comprehensibly map the characteristics of available tools for screening and assessment of constipation in order to manage the nursing care need related to constipation within any healthcare or research context and any patient group. METHODS AND ANALYSIS: This review will include primary research articles, methodological papers and clinical guidelines using tools for constipation screening and assessment, pertinent to nursing care management. It is not limited to a specific population or healthcare setting. Databases to be searched include PubMed, Embase, CINAHL, ProQuest, ClinicalKey and Google Scholar. To identify grey literature, national health services in selected countries will be searched. Papers written in English, Nordic language or German will be included. The reviewers will independently review the retrieved citations against the inclusion criteria, and data from included papers will be extracted using a data extraction form developed for this review. The scoping review will be conducted following the Joanna Briggs Institute Guidelines. The results will be presented in a table accompanied by a narrative summary. ETHICS AND DISSEMINATION: Ethical approval is not required, as no individual patient data are included. Findings will be shared and discussed with relevant stakeholders and disseminated through peer-reviewed publications and conference presentations. The protocol is registered on Open Science Framework (registration number: osf.io/h2vzd).

Patient-reported outcome is associated with health care costs in patients with ischaemic heart disease and arrhythmia.

AIMS: Systematic use of patient-reported outcomes (PROs) have the potential to improve quality of care and reduce costs of health care services. We aimed to describe whether PROs in patients diagnosed with heart disease are directly associated with health care costs. METHODS AND RESULTS: A national cross-sectional survey including PROs at discharge from a heart centre with 1-year follow-up using data from national registers. We included patients with either ischaemic heart disease (IHD), arrhythmia, heart failure (HF), or valvular heart disease (VHD). The Hospital Anxiety and Depression Scale, the heart-specific quality of life, the EuroQol five-dimensional questionnaire, and the Edmonton Symptom Assessment Scale were used. The economic analysis was based on direct costs including primary, secondary health care, and medical treatment. Patient-reported outcomes were available from 13 463 eligible patients out of 25.241 [IHD (n = 7179), arrhythmia (n = 4322), HF (n = 987), or VHD (n = 975)]. Mean annual total direct costs in all patients were €23 228 (patients with IHD: €19 479, patients with arrhythmia: €21 076, patients with HF: €34 747, patients with VDH: €48 677). Hospitalizations contributed overall to the highest part of direct costs. For patients discharged with IHD or arrhythmia, symptoms of anxiety or depression, worst heart-specific quality of life or health status, and the highest symptom burden were associated with increased economic expenditure. We found no associations in patients with HF or VHD. CONCLUSION: Patient-reported outcomes at discharge from a heart centre were associated with direct health care costs in patients with IHD and arrhythmia. REGISTRATION: ClinicalTrials.gov: NCT01926145.

Prenatal and early childhood predictors of intelligence quotient (IQ) in 7-year-old Danish children from the Odense Child Cohort.

BACKGROUND: Cognitive development measured as intelligence quotient can predict socioeconomic markers in adulthood. It is therefore of interest to determine predictors of childhood intelligence quotient. AIM: To assess intelligence quotient scores based on standardised Danish age-appropriate scores and to evaluate potential predictors of intelligence quotient. MATERIALS: At 7 years of age children in the Odense Child Cohort completed an abbreviated version of the Wechsler intelligence scale for children 5th edition consisting of four subtests (vocabulary, similarities, block design and matrix reasoning) from which the full scale intelligence quotient and verbal comprehension index were estimated. Potential predictors from pregnancy through childhood were collected from questionnaires, birth records and clinical examinations. METHODS: Intelligence quotient scores were investigated through descriptive statistics and linear regression models. RESULTS: The mean full scale intelligence quotient among 1375 children was 99.1 (95% confidence interval 98.5; 99.8) points. Higher full scale intelligence quotient scores were observed in girls 100.8 (95% confidence interval 100.0; 101.8) compared to boys 97.6 (96.7; 98.4), and in children of mothers with high and intermediate education 101.7 (100.4; 103.1) and 99.6 (98.7; 100.5), respectively, compared to low education 96.1 (94.9; 97.3). In linear regression analyses, longer maternal education and child sex (girls) remained strong predictors of intelligence quotient at age 7 years. In addition, paternal education, child head circumference and longer duration of breastfeeding were associated with higher intelligence quotient, whereas maternal overweight and obesity before pregnancy was associated with lower intelligence quotient. CONCLUSIONS: Mean intelligence quotient scores were comparable to the standardised mean intelligence quotient of 100 point of Danish peers. It is important to follow up these children to determine which predictors persist into adulthood.

Predictors of patient-reported outcomes at discharge in patients with heart failure.

BACKGROUND: It is well-established that heart failure has a negative impact on quality of life. However, little is known about patient-related predictors of health-related quality of life, anxiety and depression, symptoms and illness perception among patients with heart failure. AIM: To study the association between patient-related predictors and patient-reported outcome measures at discharge from hospital in a cohort of patients with heart failure. METHODS: We used data from 1506 patients with heart failure, participating in the national DenHeart Survey of patient-reported outcome measures in patients with heart disease. The potential patient-related predictors included demographic, administrative, clinical and socioeconomic factors. The patient-reported outcome measures included six questionnaires: the Short Form-12, the Hospital Anxiety and Depression Scale, the EuroQol five-dimensional, five-level questionnaire, the HeartQoL, the Brief Illness Perception Questionnaire and the Edmonton Symptom Assessment Scale. Data were linked to national patient registry data and medical records. We performed multivariable linear and logistic regression analyses. RESULTS: In adjusted linear regression analyses we found that a length of hospital stay of >2 days was associated with worse scores across questionnaires, except for the Brief Illness Perception Questionnaire. Higher comorbidity level was associated with worse scores across all questionnaires, whereas low social support was associated with worse scores across questionnaires, except for the physical domain of the Short Form-12 and the HeartQoL global score. CONCLUSIONS: This study identified length of hospital stay > 2 days, a higher comorbidity level and low social support to be associated with worse scores across questionnaires at discharge from a cardiac-related hospitalisation in patients with heart failure.