Development of the Dardashna Checklist for Identifying Triggers of Behavioral Change in Individuals With Dementia: A Qualitative Study.

The purpose of the current qualitative study was to describe the development of the Dardashna Checklist to clinically identify behavior change triggers in individuals with dementia. Semi-structured, in-depth, face-to-face interviews were conducted with four physicians and four experienced caregivers involved in the care of individuals with dementia. From analysis of participants' interviews, themes extracted included Triggers of Behavioral Change in Individuals With Dementia and Types of Behavioral Changes, using the checklist structure as a guide. The information gathered by this checklist conveys important messages to experienced physicians or caregivers who want to help less experienced caregivers or individuals with dementia. In this case, physicians' prescriptions and the responses of other experienced caregivers will be more targeted and useful. This checklist will help facilitate clinical care decisions, improve quality of life, reduce expenses and side effects of medications, and improve communication among persons with dementia, their caregivers, and health care providers. [Journal of Gerontological Nursing, 50(1), 37-46.].

Extracting cancer concepts from clinical notes using natural language processing: a systematic review.

BACKGROUND: Extracting information from free texts using natural language processing (NLP) can save time and reduce the hassle of manually extracting large quantities of data from incredibly complex clinical notes of cancer patients. This study aimed to systematically review studies that used NLP methods to identify cancer concepts from clinical notes automatically. METHODS: PubMed, Scopus, Web of Science, and Embase were searched for English language papers using a combination of the terms concerning "Cancer", "NLP", "Coding", and "Registries" until June 29, 2021. Two reviewers independently assessed the eligibility of papers for inclusion in the review. RESULTS: Most of the software programs used for concept extraction reported were developed by the researchers (n = 7). Rule-based algorithms were the most frequently used algorithms for developing these programs. In most articles, the criteria of accuracy (n = 14) and sensitivity (n = 12) were used to evaluate the algorithms. In addition, Systematized Nomenclature of Medicine-Clinical Terms (SNOMED-CT) and Unified Medical Language System (UMLS) were the most commonly used terminologies to identify concepts. Most studies focused on breast cancer (n = 4, 19%) and lung cancer (n = 4, 19%). CONCLUSION: The use of NLP for extracting the concepts and symptoms of cancer has increased in recent years. The rule-based algorithms are well-liked algorithms by developers. Due to these algorithms' high accuracy and sensitivity in identifying and extracting cancer concepts, we suggested that future studies use these algorithms to extract the concepts of other diseases as well.

Facilitators and barriers of mHealth interventions during the Covid-19 pandemic: systematic review.

BACKGROUND: With the spread of Covid-19 disease, health interventions related to the control, prevention, and treatment of this disease and other diseases were given real attention. The purpose of this systematic review is to express facilitators and barriers of using mobile health (mHealth) interventions during the Covid-19 pandemic. METHODS: In this systematic review, original studies were searched using keywords in the electronic database of PubMed until August 2022. The objectives and outcomes of these studies were extracted. Finally, to identify the facilitators and barriers of mHealth interventions, a qualitative content analysis was conducted based on the strengths, weaknesses, opportunities, and threats (SWOT) analysis method with Atlas.ti 8 software. We evaluated the studies using the Mixed Methods Appraisal Tool (MMAT). RESULTS: In total, 1598 articles were identified and 55 articles were included in this study. Most of the studies used mobile applications to provide and receive health services during the Covid-19 pandemic (96.4%). The purpose of the applications was to help prevention (17), follow-up (15), treatment (12), and diagnosis (8). Using SWOT analysis, 13 facilitators and 18 barriers to patients' use of mHealth services were identified. CONCLUSION: Mobile applications are very flexible technologies that can be customized for each person, patient, and population. During the Covid-19 pandemic, the applications designed due to lack of interaction, lack of time, lack of attention to privacy, and non-academic nature have not met their expectations of them.

Prediction of PTSD related to COVID-19 in emergency staff based on the components of self-compassion and perceived social support.

BACKGROUND: On March 11th, 2020, the World Health Organization (WHO) proclaimed Coronavirus Disease of 2019 (COVID-19) a pandemic. In addition to severe health problems, the disease has had a major psychological impact on the public. The aim of this research was to examine the association between Post-Traumatic Stress Disorder (PTSD) related to COVID-19 in emergency staff and self-compassion and perceived social support. METHODS: Data were collected from 222 emergency staff working in two referral educational and health centers for COVID-19 affiliated to Tabriz University of Medical Sciences. The participants were recruited six months following the first case of hospitalization for COVID-19 in these two hospitals in Tabriz, Iran. Four questionnaires were used to measure the variables, including a researcher-made demographic checklist, PTSD Checklist for DSM-5 (PCL-5), the Multidimensional Perceived Social Support Scale (MSPSS) and the Self-Compassion Scale. RESULTS: The findings showed that age (r = 0.17, P = 0.034), self-judgment (r = 0. 36, P < 0.001), isolation (r = 0.44, P < 0.001) and over-identification (r = 0.15, P = 0.031) were associated with PTSD score, and there was also a statistically significant inverse relationship between the score of the self-kindness (r = - 0.19, P = 0.006) subscale and the overall score of PTSD in the emergency staff. CONCLUSION: During the COVID-19 pandemic, emergency staff have persistently faced potentially traumatic situations as first-line healthcare workers, suggesting the direness of this group's mental health. By identifying the predisposing factors of the psychological pathology under study, this research can be applied in clinical practice and provide useful information for designing special interventions and protocols for emergency staff.

Validation of the Persian version of the Perinatal Anxiety Screening Scale (PASS) among antenatal and postnatal women.

BACKGROUND: Anxiety disorder is more common in women than men. To some extent, it can be attributed to childbirth and factors related to pregnancy in women. Therefore, it is necessary for mothers to use valid and reliable scale to assess perinatal anxiety, such as the perinatal anxiety screening scale (PASS). The purpose of this study was to investigate the validity and reliability of the PASS in Persian language. METHODS: The PASS was translated into Persian (PASS-IR). Generally, 224 women antenatal and 125 postnatal answered the questions of PASS, EPDS-10, BAI and DASS-21 questionnaires. The data was collected in the health centers of Kerman by random sampling method. Finally, content validity, factor analysis, internal consistency and test-retest reliability were evaluated. RESULTS: The mean age of the participants was 32.89 years (range between 18 and 45 and SD = 6.23). More than half of the participating were at risk of severe anxiety (53.5%). Content Validity Index (CVI) and Content Validity Ratio (CVR) were 0.80 and 0.87. PASS-IR subscales include social anxiety and specific fears, general anxiety and adjustment, acute anxiety and trauma, and perfectionism and control. PASS-IR was significantly correlated with EPDS-10 (rho = 0.42), BAI (rho = 0.53), DASS-21 with three concepts of depression, anxiety and stress (rho = 0.51, rho = 0.49 and rho = 0.49), and adverse life events (rho = 0.30). CONCLUSION: The results of this study show that PASS-IR has good validity and reliability. Therefore, it can be used to screen for anxiety disorder among Iranian women in the perinatal stage.

Neck pain: global epidemiology, trends and risk factors.

BACKGROUND: Neck pain is one of the most common musculoskeletal disorders, having an age-standardised prevalence rate of 27.0 per 1000 population in 2019. This literature review describes the global epidemiology and trends associated with neck pain, before exploring the psychological and biological risk factors associated with the initiation and progression of neck pain. METHODS: The PubMed database and Google Scholar search engine were searched up to May 21, 2021. Studies were included that used human subjects and evaluated the effects of biological or psychological factors on the occurrence or progression of neck pain, or reported its epidemiology. RESULTS: Psychological risk factors, such as long-term stress, lack of social support, anxiety, and depression are important risk factors for neck pain. In terms of the biological risks, neck pain might occur as a consequence of certain diseases, such as neuromusculoskeletal disorders or autoimmune diseases. There is also evidence that demographic characteristics, such as age and sex, can influence the prevalence and development of neck pain, although further research is needed. CONCLUSIONS: The findings of the present study provide a comprehensive and informative overview that should be useful for the prevention, diagnosis, and management of neck pain.

Prevalence of psychiatric disorders in patients with ischemic heart disease: A systematic review and meta-analysis.

Background: Ischemic heart disease and psychiatric disorders are among the leading causes of morbidity and mortality. Plans for providing basic health services to community members require knowledge of the current state. Therefore, the aim of this study was to systematically review the literature to estimate the prevalence of psychiatric disorders among patients with ischemic heart disease. Materials and Methods: In this study, PubMed, Embase, and Web of Science were systematically searched to find studies published before June 6, 2021. The systematic review included all original articles on the prevalence of psychiatric disorders among patients with ischemic heart disease. Two independent researchers evaluated the quality of studies, using the Joanna Briggs Institute questionnaire. All analyses were performed in Stata/MP version 16. A random-effects model was used for data analysis. Results: Of 1672 studies initially identified, 13 studies were included in our meta-analysis, with a total of 2233 participants. The overall prevalence of psychiatric disorders was estimated at 46.85% (95% confidence interval [CI]: 36.08-57.62; I 2 = 100%; P < 0.001 for heterogeneity). The most common disorder was depression (27.80%; 95% CI: 18.27-37.34; I 2 = 99.99%; P < 0.001 for heterogeneity). Based on the results, the prevalence of psychiatric disorders had increased by 25.55% from 2000 to 2021 compared to1984-2000. Conclusion: The prevalence of psychiatric diseases in people with ischemic heart disease is high and increases over time. It is recommended that preventive measures be taken worldwide.

Determinants of survival of common childhood cancers in Iran.

BACKGROUND: Cancer is the second most common cause of morbidity and mortality in children. This study aimed to epidemiologically and demographically assess common cancers in children in Iran. MATERIALS AND METHODS: This cohort study was conducted on children registered in Mahak Hospital and Rehabilitation Complex (which is a non-governmental organizations (NGO)-related hospital for only malignant diseases). A total of 2232 questionnaires were filled out for cancer patients between 2007 and 2016. The factors including age, gender, race, family history, type of treatment, and type of cancer were entered into Cox regression model to examine their effect on mortality of children diagnosed with cancer. RESULTS: The Cox regression model showed that age, race, type of cancer, family history of cancer, and type of treatment had a significant effect on mortality of children diagnosed with cancer (P < 0.05). The hazard ratio (HR) of mortality in 10-15 years old was higher than that of 1-5 years old (P = 0.03, HR = 1.3). The HR of mortality in patients with brain tumor (P < 0.01, HR = 2.24), sarcoma (P < 0.01, HR = 2.32), and neuroblastoma (P < 0.01, HR = 2.56) was twice the value in patients with leukemia. The HR of mortality in patients who had a family history of cancer was higher than that of patients without it (P < 0.01, HR = 1.33). Patients who had undergone chemotherapy along with surgery and radiotherapy (P = 0.02, HR = 0.68) and patients who received chemotherapy along with surgery (P = 0.01, HR = 0.67) had a lower HR of mortality compared to the chemotherapy group. CONCLUSION: Young age, multidisciplinary approach, and absence of family history were associated with lower hazard of death in children diagnosed with cancer; brain tumor, leukemia, and sarcoma had higher hazard of mortality compared to leukemia. Children with a family history of cancer should be under regular follow-up. Treatment should be multidisciplinary and comprehensive.

Postpartum home care and its effects on mothers' health: A clinical trial.

BACKGROUND: Postpartum home care plays an important role in prevention of postpartum complications. Regular visits of mothers during this period are imperative. This study aimed to provide postpartum home care for mothers to assess its effects on mothers' health in Iran. MATERIALS AND METHODS: This study was carried out in two phases. First, a comprehensive postpartum home care program was compiled by performing a comparative study, using the available guidelines in this regard in different countries and based on the opinions of the experts. Next, a clinical trial was carried out on 276 women who gave birth in the university hospitals affiliated to Shahid Beheshti University of Medical Sciences. There were 92 mothers in the intervention and 184 in the control group. The intervention group mothers were provided with postpartum home care service while the control group did not receive such a service. RESULTS: Outcome assessment at 60 days' postpartum revealed a significant difference between the two groups in terms of the use of supplements, birth control methods, postpartum depression, breastfeeding problems, constipation, and fatigue (P < 0.05). No significant differences were noted between the two groups with regard to hospitalization, hemorrhoids, backache and lumbar pain (P > 0.05). CONCLUSION: The postpartum home care program had a positive effect on some aspects of the mothers' health status and their satisfaction in our society.

Herbal Medicines in Idiopathic Heavy Menstrual Bleeding: A Systematic Review.

Idiopathic heavy menstrual bleeding (HMB; IHMB) is a common gynecological problem with no pelvic pathology or general bleeding disorder. Herbal remedies are commonly used to treat HMB. This systematic review aimed to assess the effectiveness and safety of herbal preparations for the treatment of IHMB. MEDLINE, Ovid, and the Cochrane Central Register of Controlled Trials were searched from inception to 23 August 2015. Only randomized controlled trials were considered. Three randomized controlled trials were included in this systematic review. Different herbal preparations were used in the included trials. In two studies, Ginger capsules and myrtle fruit syrup significantly reduced the menstrual duration and blood loss compared with placebo based on the pictorial blood loss assessment chart score (p < 0.001, p = 0.01). In another trial, Punica granatum flower capsules were as effective as tranexamic acid capsules in reducing the mean (SD) pictorial blood loss assessment chart score, with no significant difference between the two treatments (p = 0.3). The results show that the methods used in these trials may reduce menstrual bleeding in women with IHMB. Additional well-designed trials are needed to investigate the safety and efficacy of herbs for the treatment of women with IHMB or other forms of HMB.

A Mobile Application to Assist Alzheimer's Caregivers During COVID-19 Pandemic: Development and Evaluation.

Introduction: Access to healthcare services for patients with Alzheimer's disease (AD) was limited during the COVID-19 pandemic. A mobile application (app) can help overcome this limitation for patients and caregivers. Our study aims to develop and evaluate an app to help caregivers of patients with AD during COVID-19. Methods: The study was performed in three steps. First, a questionnaire of features required for the app design was prepared based on the interviews with caregivers of AD patients and neurologists. Then, questionnaire was provided to neurologists, medical informatics, and health information management specialists to identify the final features. Second, the app was designed using the information obtained from the previous phase. Third, the quality of the app and the level of user satisfaction were evaluated using the mobile app rating scale (MARS) and the questionnaire for user interface satisfaction (QUIS), respectively. Results: The number of 41 data elements in four groups (patient's profile, COVID-19 management and control, AD management and control, and program functions) were identified for designing the app. The quality evaluation of the app based on MARS and user satisfaction evaluation based on QUIS showed the app was good. Conclusion: This is the first study that focused on developing and evaluating a mobile app for assisting Alzheimer's caregivers during the COVID-19 pandemic. As the app was designed based on users' needs and covered both information about AD and COVID-19, it can help caregivers perform their tasks more efficiently.

A qualitative study of factors influencing ePHR adoption by caregivers and care providers of Alzheimer's patients: An extension of the unified theory of acceptance and use of technology model.

Background and Aims: As the nowadays provision of many healthcare services relies on technology, a better understanding of the factors contributing to the acceptance and use of technology in health care is essential. For Alzheimer's patients, an electronic personal health record (ePHR) is one such technology. Stakeholders should understand the factors affecting the adoption of this technology for its smooth implementation, adoption, and sustainable use. So far, these factors have not fully been understood for Alzheimer's disease (AD)-specific ePHR. Therefore, the present study aimed to understand these factors in ePHR adoption based on the perceptions and views of care providers and caregivers involved in AD care. Methods: This qualitative study was conducted from February 2020 to August 2021 in Kerman, Iran. Seven neurologists and 13 caregivers involved in AD care were interviewed using semi-structured and in-depth interviews. All interviews were conducted through phone contacts amid Covid-19 imposed restrictions, recorded, and transcribed verbatim. The transcripts were coded using thematic analysis based on the unified theory of acceptance and use of technology (UTAUT) model. ATLAS.ti8 was used for data analysis. Results: The factors affecting ePHR adoption in our study comprised subthemes under the five main themes of performance expectancy, effort expectancy, social influence, facilitating conditions of the UTAUT model, and the participants' sociodemographic factors. From the 37 facilitating factors and 13 barriers identified for ePHR adoption, in general, the participants had positive attitudes toward the ease of use of this system. The stated obstacles were dependent on the participants' sociodemographic factors (such as age and level of education) and social influence (including concern about confidentiality and privacy). In general, the participants considered ePHRs efficient and useful in increasing neurologists' information about their patients and managing their symptoms in order to provide better and timely treatment. Conclusion: The present study gives a comprehensive insight into the acceptance of ePHR for AD in a developing setting. The results of this study can be utilized for similar healthcare settings with regard to technical, legal, or cultural characteristics. To develop a useful and user-friendly system, ePHR developers should involve users in the design process to take into account the functions and features that match their skills, requirements, and preferences.

Prediction of mortality risk and duration of hospitalization of COVID-19 patients with chronic comorbidities based on machine learning algorithms.

Background: The severity of coronavirus (COVID-19) in patients with chronic comorbidities is much higher than in other patients, which can lead to their death. Machine learning (ML) algorithms as a potential solution for rapid and early clinical evaluation of the severity of the disease can help in allocating and prioritizing resources to reduce mortality. Objective: The objective of this study was to predict the mortality risk and length of stay (LoS) of patients with COVID-19 and history of chronic comorbidities using ML algorithms. Methods: This retrospective study was conducted by reviewing the medical records of COVID-19 patients with a history of chronic comorbidities from March 2020 to January 2021 in Afzalipour Hospital in Kerman, Iran. The outcome of patients, hospitalization was recorded as discharge or death. The filtering technique used to score the features and well-known ML algorithms were applied to predict the risk of mortality and LoS of patients. Ensemble Learning methods is also used. To evaluate the performance of the models, different measures including F1, precision, recall, and accuracy were calculated. The TRIPOD guideline assessed transparent reporting. Results: This study was performed on 1291 patients, including 900 alive and 391 dead patients. Shortness of breath (53.6%), fever (30.1%), and cough (25.3%) were the three most common symptoms in patients. Diabetes mellitus(DM) (31.3%), hypertension (HTN) (27.3%), and ischemic heart disease (IHD) (14.2%) were the three most common chronic comorbidities of patients. Twenty-six important factors were extracted from each patient's record. Gradient boosting model with 84.15% accuracy was the best model for predicting mortality risk and multilayer perceptron (MLP) with rectified linear unit function (MSE = 38.96) was the best model for predicting the LoS. The most common chronic comorbidities among these patients were DM (31.3%), HTN (27.3%), and IHD (14.2%). The most important factors in predicting the risk of mortality were hyperlipidemia, diabetes, asthma, and cancer, and in predicting LoS was shortness of breath. Conclusion: The results of this study showed that the use of ML algorithms can be a good tool to predict the risk of mortality and LoS of patients with COVID-19 and chronic comorbidities based on physiological conditions, symptoms, and demographic information of patients. The Gradient boosting and MLP algorithms can quickly identify patients at risk of death or long-term hospitalization and notify physicians to do appropriate interventions.

Mortality due to noninfectious lower respiratory diseases: A spatiotemporal, cross-sectional study.

Background and Aims: Geography plays an important role in the incidence of respiratory diseases. The aim of this study was to investigate the epidemiology and geographical distribution of death due to noninfectious lower respiratory diseases (NILRDs). Methods: Data related to all death due to NILRD in Kerman Province between 2012 and 2018 were extracted from the National Mortality Registry. The underlying causes of death were extracted from the registry based on the assigned codes from ICD-10 (International Classification of Diseases 10th Revision) classification. The existence of spatial clusters and outliers was evaluated using local indicators of spatial association statistics. Results: The frequency of death due to NILRD was 8005 persons during the 7 years of the study. The main cause of death was chronic lower respiratory disease (54.2%). Other causes of death were, respectively, lung diseases due to external agents (1.09%), other respiratory diseases mainly affecting the interstitium (1.16%), other diseases of pleura (0.57%), and other diseases of the respiratory system (42.13%). The age- and sex-adjusted mortality rates due to NILRD in the north and center of the province increased significantly from 2012 to 2018. Also, the results of cluster analysis identified northern regions as the clustered areas of NILRD. Conclusions: Our findings showed a significant increase in mortality due to NILRD in Kerman Province during the 7 years of the study. To reduce this type of death, health policymakers should have environmental health plans and basic solutions, such as a warning system to reduce the commuting on highly air-polluted days and to control pollutants, especially in the industrial areas of the north of this province.

Psychological pathways between type D personality and COVID-19.

BACKGROUND: Patients with a type D personality have worse social functioning and mental health and more affective constraints than non-type D personalities. They have a negative outlook on life and health-related issues. The aim of this study was to examine the mediating role of stress and anxiety in the relationship between type D personality and COVID-19 by adjustment of the effect of demographic characteristics and perceived symptoms as confounder variables. PARTICIPANTS AND PROCEDURE: A total of 196 patients out of those suspected of having COVID-19 and visiting the reference hospitals were selected. They had completed the type D personality and the anxiety and stress scales along with their hospital admission form before undergoing COVID-19 testing. After their COVID-19 test, the participants were divided into two groups based on their disease, an infected group (n = 90) and a non-infected group (n = 106). RESULTS: Type D personality has no significant direct effect on infection with the disease, but taking into account the mediating variable of stress, the odds of an event in those with type D personality is 2.21 times higher than those without this personality (p = .027) and, taking into account the mediating variable of anxiety, having a type D personality increases the odds of an event by 2.62 times (p = .011), holding demographic characteristics and perceived symptoms constant. CONCLUSIONS: Given the indirect relationship between COVID-19 and type D personality, the mediating variables of stress and anxiety can be considered full mediating variables.

Migraine: A Review on Its History, Global Epidemiology, Risk Factors, and Comorbidities.

Migraine affects more than one billion individuals each year across the world, and is one of the most common neurologic disorders, with a high prevalence and morbidity, especially among young adults and females. Migraine is associated with a wide range of comorbidities, which range from stress and sleep disturbances to suicide. The complex and largely unclear mechanisms of migraine development have resulted in the proposal of various social and biological risk factors, such as hormonal imbalances, genetic and epigenetic influences, as well as cardiovascular, neurological, and autoimmune diseases. This review presents a comprehensive review of the most up-to-date literature on the epidemiology, and risk factors, as well as highlighting the gaps in our knowledge.

Assessment of the fitness of Cox and parametric regression models of survival distribution for Iranian breast cancer patients' data.

Factors affecting the time of survival after breast cancer (BC) diagnosis remain unknown. However, some of the prognostic factors have been identified. The aim of this study was to investigate the effects of biologic and socioeconomic factors on long-term survival of BC patients. This was a descriptive chart review and survey of all women with a confirmed diagnosis of BC registered in Shohada-e-Tajrish Cancer Research Center database from March 2004 to March 2015. The checklist of study consisted of biologic, demographic, reproductive, genetic, medical, and therapeutic information of patients. The minimum time of follow-up was 3 years and the maximum was 10 years. We then evaluated possible associations of these variables with BC survival using Cox and parametric regression models of survival analysis. The study population was 1276 BC patients. Their mean survival was 23 (range 1-120) months. Between the parametric models, Weibull regression model demonstrated the lowest Akaike information criterion and thus the best fit, and tumor size, number of lymph nodes, BC stage, educational level, and high-fat diet were significant in this model. Based on our findings, educational level, consumption of fat, and characteristics of tumor at the time of diagnosis (disease stage, tumor size, number of involved lymph nodes) are the most important prognostic factors affecting long-term survival of BC patients. We suggest that future studies assess the efficacy of possible interventions for these factors.

Effect of Topical Chamomile Oil on Postoperative Bowel Activity after Cesarean Section: A Randomized Controlled Trial.

OBJECTIVE: Postoperative ileus (POI) is a common complication after surgery that requires a multifactorial therapeutic approach. This study aims to assess the effect of topical chamomile oil on postoperative bowel activity after cesarian section. METHODS: This randomized controlled trial was carried out in 2015 at Chamran Hospital in Iran. A block randomization list was generated for 142 parturient divided into three groups. In the intervention group (arm A) (n = 47), chamomile oil was applied topically on abdominal region after the stability of the patient. Placebo group (arm B) (n = 47) received placebo oil and control group (arm C) (n = 48) had no intervention. A recovery program was used after surgery for all participants. The primary outcome was time to first flatus. Secondary outcomes were time to bowel sounds, defecation, return of appetite, hospital stay, and rate of nausea and vomiting, abdominal pain. FINDINGS: Times to first flatus were significantly shorter in Group A (arm A vs. B, P < 0.001 and arm A vs. C, P < 0.001). In addition, time to first bowel sounds (arm A vs. B, P < 0.001 and arm A vs. C, P < 0.001) and return of appetite (arm A vs. B, P < 0.001 and arm A vs. C, P < 0.001) were significantly shorter in arm A. The times from surgery to first defecation were shorter in Group A versus B and C. However, there were no statistically significant differences between three groups. CONCLUSION: These results suggest that topical chamomile oil has a potential therapeutic effect on gastrointestinal motility and can reduce the duration of POI.

Effect of Health Care as the "Home Visiting" on Postpartum Depression: A Controlled Clinical Trial.

BACKGROUND: Postpartum depression is considered as a major health complication of women after delivery. It is necessary to find an essential approach for the prevention of its serious consequences on mothers' and infants' health. The aim of this study was to investigate the effect of home visiting on postpartum depression. METHODS: The first stage of study was the design of postpartum package. According to the package, a clinical trial was performed for 276 mothers who had delivered in affiliated hospitals of Shahid Beheshti University in 2013 and were divided into two groups, i.e., control group and intervention group. Intervention group received health care by home visiting, and control group had no intervention. Mothers were supposed to fill up Edinburgh Postnatal Depression Scale before and 60 days after delivery, and the results were compared. The data were analyzed by SPSS version 18 software and t-test, Chi-square, and logistic regression test. RESULTS: The mean ages of participants were 27.03 ± 5.2 standard deviation (SD) in intervention group and 27.37 ± 5.4 SD in control group. Occurrence of depression was 7.6% in intervention group and 19% in control group, and there was a significant difference between two groups (P < 0.05). The logistic regression results indicate that groups (intervention and control) (P = 0.087, odds ratio [OR] =2.1); planned and unplanned pregnancy (P = 0.028, OR = 2.5) and the infant nutrition (P = 0.025, OR = 2.2) are significantly associated with the postpartum depression. CONCLUSIONS: Providing postpartum home visiting can influence postpartum depression in a positive way and could improve mothers' and infants' health.