Background: People live socially complex lives and have different health care needs influenced by socioeconomic factors such as deprivation, unemployment, and poor housing. Lack of access to community based social care results in people seeking social support from health care services. This study explores the Life Rooms as a social prescribing model addressing the social determinants of mental health by providing support and access to resources in a local community setting. With an aim to identify key elements that contribute toward enhancing the effectiveness of the Life Rooms social prescribing approach. Methods: Data were obtained through six semi-structured focus groups with mental health service users from two locations in the North West of the UK. Postcode data was collected to generate an Index for Multiple Deprivation (IMD) score, to understand their socioeconomic background. Data were analysed using thematic analysis. Results: A total of 18 participants took part in the study. The majority of participants came from disadvantaged backgrounds; 14 participants measuring 3 and below in terms of overall IMD scores and 9 participants belonged to the poorest decile (IMD score = 1). Participants reported on different elements of the Life Rooms which they found as an effective approach to care. Four main themes emerged from the data: 1) social belonging: being able to just 'be' 2) resourceful and accessible; 3) social inclusion and connectedness; and 4) moving forward: self-development and independence. Conclusion: Findings support the need and benefit social prescribing to improve mental health wellbeing and reduce the burden of mental illness.

BackgroundMental health is of special importance regarding socioeconomic inequalities in health. On the one hand, mental health status mediates the relationship between economic inequality and health; on the other hand, mental health as an "end state" is affected by social factors and socioeconomic inequality. In spite of this, in examining socioeconomic inequalities in health, mental health has attracted less attention than physical health. As a first attempt in Iran, the objectives of this paper were to measure socioeconomic inequality in mental health, and then to untangle and quantify the contributions of potential determinants of mental health to the measured socioeconomic inequality.MethodsIn a cross-sectional observational study, mental health data were taken from an Urban Health Equity Assessment and Response Tool (Urban HEART) survey, conducted on 22 300 Tehran households in 2007 and covering people aged 15 and above. Principal component analysis was used to measure the economic status of households. As a measure of socioeconomic inequality, a concentration index of mental health was applied and decomposed into its determinants.ResultsThe overall concentration index of mental health in Tehran was -0.0673 (95% CI = -0.070 - -0.057). Decomposition of the concentration index revealed that economic status made the largest contribution (44.7%) to socioeconomic inequality in mental health. Educational status (13.4%), age group (13.1%), district of residence (12.5%) and employment status (6.5%) also proved further important contributors to the inequality.ConclusionsSocioeconomic inequalities exist in mental health status in Iran's capital, Tehran. Since the root of this avoidable inequality is in sectors outside the health system, a holistic mental health policy approach which includes social and economic determinants should be adopted to redress the inequitable distribution of mental health.

Background: Exploring changes in health inequality and its determinants over time is of policy interest. Accordingly, this study aimed to decompose inequality in neonatal mortality into its contributing factors and then explore changes from 1995-2000 to 2005-2010 in Iran. Methods: Required data were drawn from two Iran’s demographic and health survey (DHS) conducted in 2000 and 2010. Normalized concentration index (CI) was used to measure the magnitude of inequality in neonatal mortality. The contribution of various determinants to inequality was estimated by decomposing concentration indices in 1995-2000 and 2005-2010. Finally, changes in inequality were investigated using Oaxaca-type decomposition technique. Results: Pro-rich inequality in neonatal mortality was declined by 16%, ie, the normalized CI dropped from -0.1490 in 1995-2000 to -0.1254 in 2005-2010. The largest contribution to inequality was attributable to mother’s education (32%) and household’s economic status (49%) in 1995-2000 and 2005-2010, respectively. Changes in mother’s educational level (121%), use of skilled birth attendants (79%), mother’s age at the delivery time (25-34 years old) (54%) and using modern contraceptive (29%) were mainly accountable for the decrease in inequality in neonatal mortality. Conclusion: Policy actions on improving households’ economic status and maternal education, especially in rural areas, may have led to the reduction in neonatal mortality inequality in Iran.

Background Public and Patient Involvement, Engagement and Participation research encompasses working with patients/service users (people with a medical condition receiving health service treatment), public members, caregivers and communities (who use services or care for patients). The Partner Priority Programme (PPP) was developed by the National Health Service [NHS] and National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care [NIHR CLAHRC] NWC to share information and experience on evaluating new services being offered to patients that were seeking to reduce health inequalities, improve people’s health and wellbeing and reduce emergency hospital admissions. This paper seeks to explore an approach developed for involving the public as equal partners within the evaluation and decision-making processes of health and social care services research. The aim of this study was to identify how public advisors were included, the impact of their involvement, and how change occurred within the organisations following their involvement. Methods A qualitative approach using focus group discussions was adopted to explore the experiences of two cohorts of participants involved in PPP project teams. Focus groups were held with public advisors (n = 9), interns (n = 9; staff or public who received a funded internship for a PPP project), NHS and Local Authority initiative leads (n = 10), and academic facilitators (n = 14). These were transcribed verbatim and analysed using a thematic approach. Results Thirty-two public advisors were recruited to support 25 PPP projects across the Collaboration for Leadership in Applied Health Research and CLAHRC North West Coast [NWC] partner organisations. Three inter-related themes were conceptualised: 1)“Where it all started - involving public advisors” identified the varying journeys to recruitment and experiences of becoming a public advisor; 2)“Steps toward active involvement and engagement” related to public advisors becoming core team members; and 3) “Collaborative working to enhance public and patient involvement” relayed how projects identified the benefits of working jointly with the public advisors, particularly for those who had not experienced this style of working before. Conclusions The findings indicate that the PPP model is effective for embedding Public and Patient Involvement [PPI] within health services research, and recommends that PPI is integrated at the earliest opportunity within research projects and service evaluations through the use of support-led and facilitative programmes.

Background The objective of this systematic review and meta-analyses was to assess the risk of preeclampsia among women who conceived with assisted reproductive technology (ART). Methods We searched the ISI Web of Knowledge, Medline/PubMed, Scopus, and Embase (from inception to May 2017) for English language articles using a list of key words. In addition, reference lists from identified studies and relevant review articles were also searched. Data extraction was performed by two authors, and the study quality was assessed using the Newcastle–Ottawa Scale. Random-effects model meta-analysis was applied to pool the relative risks (RR) across studies. Results A total of 48 studies (5 case-control studies and 43 cohort studies) were included in this meta-analysis. The Cochran Q test and I 2 statistics revealed substantial heterogeneity (Q = 26,313.92, d.f. = 47, p < 0.001 and I 2 = 99.8%). Meta-analysis showed a significant increase in preeclampsia in women who conceived by ART compared with those who conceived spontaneously (RR = 1.71, 95% CI = 1.11–2.62, p = 0.015). Conclusions The findings of this systematic review indicate that the use of ART treatment is associated with a 1.71-fold increase in preeclampsia.

The Persian version of the GOHAI can be used reliably to identify oral health-related concerns of older Persian speakers, but further research is needed to confirm its cultural consonance in this population.

BackgroundThere are several studies regarding the predictors or risk factors of unintended pregnancy, but only a small number of studies have been carried out concerning the socio-economic factors influencing the unintended pregnancy rate. This study aimed to determine the socioeconomic inequality of unintended pregnancy in Tehran, Iran, as a developing country.MethodsIn this hospital based cross-sectional study, 5152 deliveries from 103 hospitals in Tehran (the capital of Iran) were included in the analysis in July 2015. Socioeconomic status (SES) was measured through an asset-based method and principal component analysis was carried out to calculate the household SES. The concentration index and curve was used to measure SES inequality in unintended pregnancy, and then decomposed into its determinants. The data was analyzed by statistical Stata software.ResultsThe Wagstaff normalized concentration index of unintended pregnancy (− 0.108 (95% Confidence Interval (CI) = − 0.119 ~ − 0.054)) endorses that unintended pregnancy is more concentrated among poorer mothers. The results showed that SES accounted for 27% of unintended pregnancy inequality, followed by the mother’s nationality (19%), father’s age (16%), mother’s age (10%), father’s education level (7%) and Body Mass Index (BMI) groups (5%).ConclusionUnintended pregnancy is unequally distributed among Iranian women and is more concentrated among poor women. Economic status had the most positive contribution, explaining 27% of inequality in unintended pregnancy.

ObjectivesThe establishment of the Family Physician (FP) programme in the rural areas of Iran in 2005 has made health services accessible and affordable. This paper aims to assess the overall trends of maternal and child health (MCH) indicators in a 20-year period and possible effects of the FP programme (intervention) on these indicators in Iran.Design and settingAn interrupted time series analysis was conducted on 20 annual MCH-related data points from 1994 to 2013. The intervention time was at the 12th data point in 2005.OutcomesMCH indicators were grouped into three categories: structure (mother’s age, education, occupation and gravidity), process (number of antenatal care visits (ACVs), laboratory tests, ultrasounds and natural vaginal deliveries (NVDs)) and outcomes (maternal mortality ratio (MMR), neonatal mortality rate (NMR), birth weight (BW), history of abortion and/or stillbirth, and haemoglobin level (Hb)).ResultsThe adjusted slope of the ACV trend decreased sharply after the intervention (b=−0.36, p<0.01), whereas it increased for the frequency of ultrasounds (b=0.2, p<0.01) and did not change for number of laboratory tests (b=−0.09, p=0.95). The intensification of the descending slope observed for NVD (b=−1.91, p=0.03) disappeared after the adjustment for structural confounders (b=1.33, p=0.26). There was no significant slope change for MMR (b=1.12, p=0.28) and NMR (b=0.67, p=0.07) after the intervention. The slope for the history of abortion trend was constant before and after the intervention, but it considerably intensified for the history of stillbirths after the intervention (b=1.72, p<0.01). The decreasing trend of BW turned into a constant mode after the intervention (b=33.2, p<0.01), but no change was observed for Hb (b=−0.02, p=0.78).ConclusionAlthough the FP programme had a positive effect on the process and proximal outcome indicators (BW), no dramatic effect on mortality outcome indicators was distinguished. It shows that there should be determinants or mediators of mortality outcomes in this setting, other than accessibility and affordability of MCH services.