To examine family planning through the community’s perception, belief system and cultural impact; in addition to identifying the determining factors for family planning uptake.

A descriptive exploratory study.

Three communities were selected from three local government areas, each in the three senatorial districts in Ekiti State.

The study was conducted among young unmarried women in the reproductive age group who were sexually active as well as married men and women in the reproductive age group who are currently living with their partners and were sexually active.

Eight focus group discussions were conducted in the community in 2019 with 28 male and 50 female participants. The audio recordings were transcribed, triangulated with notes and analysed using QSR NVivo V.8 software. Community perception, beliefs and perceptions of the utility of family planning, as well as cultural, religious and other factors determining family planning uptake were analysed.

The majority of the participants had the perception that family planning helps married couple only. There were diverse beliefs about family planning and mixed reactions with respect to the impact of culture and religion on family planning uptake. Furthermore, a number of factors were identified in determining family planning uptake—intrapersonal, interpersonal and health system factors.

The study concluded that there are varied reactions to family planning uptake due to varied perception, cultural and religious beliefs and determining factors. It was recommended that more targeted male partner engagement in campaign would boost family planning uptake.

Third delay refers to delays in delivering requisite care to patients after they arrive at a health facility. In low-resource care settings, effective triage and flow of care are difficult to guarantee. In this study, we aimed to identify delays in the delivery of care to critically ill patients and possible ways to address these delays.

This was an exploratory qualitative study using in-depth interviews and patient journeys. The qualitative data were transcribed and aggregated into themes in NVivo V.12 Plus using inductive and deductive approaches.

This study was conducted in four secondary-level public Kenyan hospitals across four counties between March and December 2021. The selected hospitals were part of the Clinical Information Network.

Purposive sampling method was used to identify administrative and front-line healthcare providers and patients. We conducted 12 in-depth interviews with 11 healthcare workers and patient journeys of 7 patients. Informed consent was sought from the participants and maintained throughout the study.

We identified a cycle of suboptimal systems for care with adaptive mechanisms that prevent quality care to critically ill patients. We identified suboptimal systems for identification of critical illness, inadequate resources for continuity care and disruption of the flow of care, as the major causes of delays in identification and the initiation of essential care to critically ill patients. Our study also illuminated the contribution of inflexible bureaucratic non-clinical business-related organisational processes to third delay.

Eliminating or reducing delays after patients arrive at the hospital is a time-sensitive measure that could improve the care outcomes of critically ill patients. This is achievable through an essential emergency and critical care package within the hospitals. Our findings can help emphasise the need for standardised effective and reliable care priorities to maintain of care of critically ill patients.

Depression is highly prevalent in outpatients receiving treatment for mental disorders. Treatment as usual (TAU) usually consists of either psychotherapy and/or antidepressant medication and often takes several weeks before clinical effect. Chronotherapy, consisting of sleep deprivation, sleep-wake phase advancement and stabilisation, and light therapy, is a possible addition to TAU that may decrease the time to treatment response. This randomised controlled trial will examine the benefits of adding chronotherapy to TAU compared with TAU alone.

The trial will include 76 participants with a depressive episode who initiate outpatient treatment at a secondary mental healthcare outpatient clinic at St. Olavs University Hospital. Participants will be randomly allocated 1:1 to either chronotherapy in addition to TAU or TAU alone. Assessments will be performed at baseline, day 3, day 4, day 7, day 14 and weeks 4, 8, 24 and 52, in addition to longer-term follow ups. The main outcome is difference in levels of depressive symptoms after week 1 using the Inventory of Depressive Symptomatology Self-Report. Secondary outcomes include levels of depressive symptoms at other time points, as well as anxiety, health-related quality of life and sleep assessed through subjective and objective measures.

The study protocol has been approved by the Regional Committee for Medical Research Ethics Central Norway (ref: 480812) and preregistered at ClinicalTrials.gov (ref: NCT05691647). Results will be published via peer-reviewed publications, presentations at research conferences and presentations for clinicians and other relevant groups. The main outcomes will be provided separately from exploratory analysis.

NCT05691647.

To test an online training course for non-ophthalmic diabetic retinopathy (DR) graders for recognition of glaucomatous optic nerves in Vietnam.

This was an uncontrolled, experimental, before-and-after study in which 43 non-ophthalmic DR graders underwent baseline testing on a standard image set, completed a self-paced, online training course and were retested using the same photographs presented randomly. Twenty-nine local ophthalmologists completed the same test without the training course. DR graders then underwent additional one–to-one training by a glaucoma specialist and were retested. Test performance (% correct, compared with consensus grades from four fellowship-trained glaucoma experts), sensitivity, specificity, positive and negative predictive value, and area under the receiver operating (AUC) curve, were computed.

Mean age of DR graders (32.6±5.5 years) did not differ from ophthalmologists (32.3±7.3 years, p=0.13). Online training required a mean of 297.9 (SD 144.6) minutes. Graders’ mean baseline score (33.3%±14.3%) improved significantly after training (55.8%±12.6%, p

Non-ophthalmic DR graders can be trained to recognise glaucoma using a short online course in this setting, with no additional benefit from more expensive one–to-one training. After 5-hour online training in recognising glaucomatous optic nerve head, scores of non-ophthalmic DR graders doubled, and did not differ from local ophthalmologists. Intensive one-to-one training did not further improve performance