This included, for instance, arranging resources to seek care, (co)-deciding where to seek care as well as accompanying the child to the health facility. The inability to organise necessary resources for care can lead to involuntary delays in care seeking for the child. This demonstrates the importance of including fathers in future interventions on maternal and child health.

To examine the risk factors for pregnancy-related death in India’s nine Empowered Action Group (EAG) states.

Secondary data analysis of the Indian Annual Health Survey (2010-2013).

Nine states Assam, Bihar, Chhattisgarh, Jharkhand, Madhya Pradesh, Odisha, Rajasthan, Uttar Pradesh and Uttarakhand.

1 989 396 pregnant women.

Maternal mortality ratio (MMR), overall and for each state, with 95% CI was calculated. Stepwise multivariable logistic regression was used to investigate the association of risk factors with maternal mortality. Area under the receiver-operating characteristic (AUROC) curve was used to assess the prediction of the model.

MMR adjusted for survey design, adjusted OR (aOR)with 95% CI and C-statistic with 95% CI.

MMR calculated for the nine states was 383/100 000 live births (95% CI 346 to 423 per 100 000). Age exhibited a U-shaped association with maternal mortality. Not having a health scheme and belonging to a scheduled caste or scheduled tribe group were significant risk factor. Notably, the study showed that the risk conferred by poor socioeconomic status could be mitigated by universal access to healthcare during pregnancy and childbirth.

Primary schools are crucial settings for early weight management interventions but effects on children’s weight are small and evidence shows that deficiencies in intervention implementation may be responsible. Very little is known about the roles of multiple stakeholders in the process of implementation. We used a multiple-stakeholder qualitative research approach to explore the implementation of an intervention developed to improve the diet and increase the levels of physical activity for children living in some of the most deprived areas of England.

For this qualitative study, interviews and focus groups were carried out using semi-structured topic guides. Data were analysed thematically.

Seven primary schools (pupils aged 4 to 11) in Manchester, England.

We conducted 14 focus groups with children aged 5 to 10 years and interviews with 19 staff members and 17 parents.

Manchester Healthy Schools (MHS) is a multicomponent intervention, developed to improve diet and physical activity in schools with ce between home and school norms around diet and physical activity were high, parents and children were more likely to accept the policies implemented as part of MHS. Effective two-way communication between home and school is therefore vital for successful implementation of this intervention.

The ability to provide primary care with the help of a digital platform raises both opportunities and risks. While access to primary care improves, overuse of services and medication may occur. The use of digital care technologies is likely to continue to increase and evidence of its effects, costs and distributional impacts is needed to support policy-making. Since 2016, the number of digital primary care consultations for a range of conditions has increased rapidly in Sweden. This research project aims to investigate health system effects of this development. selleck products The overall research question is to what extent such care is a cost-effective and equitable alternative to traditional, in-office primary care in the context of a publicly funded health system with universal access. Three specific areas of investigation are identified clinical effect; cost and distributional impact. This protocol describes the investigative approach of the project in terms of aims, design, materials, methods and expected results.

Tmakers and to the general public.

To compare the effectiveness of dry needling (DN) versus percutaneous needle electrolysis (PNE) for improving the level of pain, function and quality of life (QoL) of patients suffering from plantar heel pain (PHP) provoked by myofascial trigger points.

A prospective, parallel-group, randomised controlled trial with blinded outcome assessment.

A single treatment facility in the State of Kuwait.

118 participants were screened for eligibility. Of these, 102 participants were enrolled (30 men (49.5±8.9 years) and 72 women (48.1±8.8 years)) and 68 of them completed the trial.

Two parallel groups, one study arm received DN and a stretching protocol whereas the other arm received percutaneous needling electrolysis with a stretching protocol.

The primary outcome measure was the Foot Pain domain of the Foot Health Status Questionnaire, with 13 questions related to foot health-related domains. Secondary outcome measures included the 0-10 numerical rating scale pain visual analogue scale (VAS) scores, perfoDN were effective for PHP management, reducing mean and maximum pain since the first treatment session, with long lasting effects (52 weeks) and significant differences between groups in the case of QoL at 52 weeks in favour of the PNE group.

NCT03236779.

NCT03236779.

To determine whether post-deployment screening is associated with a shorter delay to diagnosis and care among individuals identified with a deployment-related mental disorder.

Retrospective cohort study.

Canadian military population.

The cohort consisted of personnel (n=28 460) with a deployment within the 2009 to 2014 time frame. A stratified random sample (n=3004) was selected for medical chart review. We restricted our analysis to individuals who had an opportunity to undergo screening and were subsequently diagnosed with a mental disorder that a clinician indicated was deployment-related (n=1157).

Post-deployment health screening.

The outcome was delay to diagnosis and care, the latency from individuals’ deployment return to their mental disorder diagnosis date. Cox proportional hazards regression assessed screening’s influence on this outcome.

74.4% of the study population had screened. Overall, the median delay to care was 766 days, 578 days among screeners and 928 days among non-screeners-a 350-day difference.