Women's reasons for taking complementary medicine products in pregnancy and lactation: Results from a national Australian survey.

BACKGROUND: and purpose: Pregnant and breastfeeding women commonly use complementary medicine products (CMPs), including dietary supplements and herbal medicines. This study investigated women's reasons for use. MATERIALS AND METHODS: A national, cross-sectional, online survey conducted between July-September 2019 investigated reasons for CMP use during pregnancy and lactation. Australian women who were currently pregnant and/or breastfeeding participated. Data analysis included descriptive statistics, Chi-square and principal component analyses. RESULTS: Of the 810 women surveyed (n = 354 pregnant; n = 456 breastfeeding), most reported prior CMP use and felt that CMPs had been beneficial to maintaining and optimising their own and their children's health. However, when ill, they preferred medicines prescribed by doctors or pharmacists. Perceived benefits to their unborn or breastfeeding babies' health and their own health (both cohorts), the health of their pregnancy (pregnant participants), and benefits to the breastfeeding process and breastmilk supply (breastfeeding participants) were important reasons for women's CMP use. CONCLUSION: Women's reasons for CMP use centred on perceived benefits to their own health and the health of their babies. Women's prior positive experiences with CMP use, combined with preferences for pharmaceutical use when ill, indicates their use of CMPs can be considered complementary, rather than alternative, to biomedical health care.

Demographics, health literacy and health locus of control beliefs of Australian women who take complementary medicine products during pregnancy and breastfeeding: A cross-sectional, online, national survey.

BACKGROUND: Pregnant and breastfeeding women's use of complementary medicine products (CMPs) is common, and possibly associated with autonomous health care behaviours. However, the health literacy levels and health locus of control (HLOC) beliefs of women who use CMPs in pregnancy and lactation have not been previously assessed in a large Australian sample. AIM: The aim of this study is to determine the health literacy levels and HLOC beliefs of women who use CMPs in pregnancy and lactation and determine the types of CMPs used. METHODS: A cross-sectional, national, online survey of Australian pregnant or breastfeeding women aged 18 years and older, and currently using CMPs was conducted. RESULTS: A total of 810 completed surveys (354 pregnant and 456 breastfeeding women) were analysed. Most had adequate functional health literacy levels (93.3%). Health care practitioners (HCPs) HLOC mean scores were the highest for the sample, followed by Internal HLOC beliefs mean scores. Almost all (n = 809) took at least one dietary supplement, the most popular being pregnancy and breastfeeding multivitamins, iron supplements and probiotics. Use was generally in line with clinical recommendations, except for low rates of iodine supplementation. Herbal medicine use was lower for the total sample (57.3%, n = 464), but significantly higher (p < .0001) for the breastfeeding cohort, with consumers taking one to four herbal medicines each. The most popular herbs were raspberry leaf, ginger, peppermint and chamomile (pregnant respondents) and chamomile, ginger and fenugreek (breastfeeding respondents). CONCLUSIONS: Respondents were health literate, with high scores for Internal and HCP HLOC scales, suggesting that they are likely to demonstrate self-efficacy, positive health behaviours and work well in partnership with HCPs. HCPs can facilitate discussions with pregnant and breastfeeding women using CMPs, while considering women's health literacy levels, health beliefs and goals.

Using Facebook to recruit to a national online survey investigating complementary medicine product use in pregnancy and lactation: A case study of method.

BACKGROUND: Online recruitment can be targeted efficiently to recruit specific samples for survey research. It has been shown to be a cost-effective method of recruitment, and useful for geographically dispersed populations. OBJECTIVES: To describe the use of Facebook to recruit a targeted sample of expectant and breastfeeding mothers to a national online survey. Different techniques to assess response rates using data provided by Facebook are also described. METHODS: Participants accessed an anonymous online survey through a link included in posts from a Facebook page specifically set up for the research. Recruitment strategies were primarily of two types. Firstly, Facebook was paid to promote posts by displaying them on potential participants' Facebook feeds. Secondly, by purposive and snowball recruitment through the sharing of posts on relevant Facebook pages. Post success was measured by the reach, impressions, link clicks, post clicks, and click through rates; and for boosted posts, the cost per day, and cost per engagement with the post as well. Traditional methods of calculating response rates, and response rates using post clicks and survey link clicks were calculated. RESULTS: After 10 weeks of recruitment, 1418 participants had enrolled in the study, and of these 810 (57.1%) completed the 20-minute (70 question) survey. Women participated from across Australia. Both paid and purposive approaches to promotion contributed to recruitment success. Paid promotions at higher costs for fewer days were the most successful. Total paid promotion costs were (Australian) $1147.97 (or $1.44 per completed survey). Purposive promotion was slower, but also contributed significantly to the number of people who saw the posts and clicked through to the survey. Traditional response rate calculations showed a response rate of 0.8%. Using post clicks and survey link clicks in calculations, resulted in response rates of 23.1% and 42.7%, respectively. CONCLUSIONS: A combination of paid promotions and purposive and snowball recruitment on Facebook were used to successfully recruit 1418 participants resulting in 810 completed surveys over a 10-week period, at a low cost per participant. Use of additional methods to measure response rates may be useful in measuring the success of using Facebook posts in recruitment.

Validity of a tool designed to assess the preventability of potentially preventable hospitalizations for chronic conditions.

BACKGROUND: Potentially preventable hospitalizations (PPH) are defined as unplanned hospital admissions which could potentially have been prevented with the provision of effective, timely outpatient care. To better understand and ultimately reduce rates of PPH, a means of identifying those which are actually preventable is required. The Preventability Assessment Tool (PAT) was designed for use by hospital clinicians to assess the preventability of unplanned admissions for chronic conditions. OBJECTIVE: The present study examined the ability of the PAT to distinguish between those unplanned admissions which are preventable and those which are not, compared to the assessments of an Expert Panel. METHODS: Data were collected between November 2014 and June 2017 at three hospitals in NSW, Australia. Participants were community-dwelling patients with unplanned hospital admissions for congestive heart failure, chronic obstructive pulmonary disease, diabetes complications or angina pectoris. A nurse and a doctor caring for the patient made assessments of the preventability of the admission using the PAT. Expert Panels made assessments of the preventability of each admission based on a comprehensive case report and consensus process. RESULTS: There was little concordance between the hospital doctors and nurses regarding the preventability of admissions, nor between the assessments of the Expert Panel and the hospital nurse or the Expert Panel and the hospital doctor. CONCLUSIONS: The PAT demonstrated poor concurrent validity and is not a valid tool for assessing the preventability of unplanned hospital admissions. The use of Expert Panels provides a more rigorous approach to assessing the preventability of such admissions.

Immediate, uninterrupted skin-to-skin contact and breastfeeding after birth: A cross-sectional electronic survey.

OBJECTIVE: To determine the incidence of immediate, uninterrupted skin-to-skin contact and breastfeeding after birth; and which factors are associated with it. DESIGN: Cross-sectional e-survey was developed and piloted prior to distribution. Sampling was purposive and included snowball sampling. Associations between maternity care practices and the primary outcome measure were examined using logistic regression. SETTING: Australia. PARTICIPANTS: Women who birthed a term baby within the previous three years, in any Australian setting (hospital, birth centre or at home), were eligible to participate. MEASUREMENTS AND FINDINGS: 1200 postpartum women met the eligibility criteria and completed the e-survey. The primary outcome, 'pronurturance', included: (1) immediate mother/baby holding; (2) skin-to-skin contact; (3) uninterrupted holding for at least 60 min; 4) breastfeeding in the birth setting. Of 1200 participants, 22% (n = 258) experienced pronurturance. Pronurturance was less likely following caesarean section (adjusted Odds Ratio (aOR) 0.07, 95% Confidence Interval (CI) 0.03-0.17). Pronurturance was more likely with a known midwife during labour and birth (aOR 1.89, 95% CI 1.35-2.65). Contributing to the low rate of pronurturance were lack of antenatal skin-to-skin information; babies being wrapped; women wearing clothing; and non-urgent caregiver interruptions including weighing the baby or facilitating the mother to shower. KEY CONCLUSION: Health services must strategically address the institutional processes which delay and/or interrupt skin-to-skin contact and breastfeeding in birth suite and operating theatre settings. IMPLICATIONS FOR PRACTICE: Midwives and midwifery students providing continuity of carer are best placed to provide pronurturance to mothers and babies. Caregivers should educate women about pronurturance antenatally, and actively support immediate, uninterrupted mother/baby skin-to-skin contact and breastfeeding after birth.

All-cause mortality and long-term exposure to low level air pollution in the '45 and up study' cohort, Sydney, Australia, 2006-2015.

BACKGROUND: Epidemiological studies show that long-term exposure to ambient air pollution reduces life expectancy. Most studies have been in environments with relatively high concentrations such as North America, Europe and Asia. Associations at the lower end of the concentration-response function are not well defined. OBJECTIVES: We assessed associations between all-cause mortality and exposure to annual average particulate matter <2.5 µm (PM2.5) and nitrogen dioxide (NO2) in Sydney, Australia, where concentrations are relatively low. METHODS: The '45 and Up Study' comprises a prospective longitudinal cohort from the state of New South Wales, Australia with 266,969 participants linked to death registry data. We analyzed data for the participants who resided in Sydney at baseline questionnaire (n = 75,268). Exposures to long-term pollution were estimated using annual averages from a chemical transport model (PM2.5), and a satellite-based land-use regression model (NO2). Socio-demographic information was extracted from the baseline questionnaire. Cox proportional hazard models were applied to estimate associations, while adjusting for covariates. RESULTS: In our cohort mean annual PM2.5 was 4.5 µg/m3 and mean NO2 was 17.8 µg/m3. The mortality rate was 4.4% over the 7 years of follow up. Models that adjusted for individual-level and area-level risk factors resulted in a detrimental non statistically significant hazard ratio (HR) of 1.05 (95% CI: 0.98-1.12) per 1 µg/m3 increase in PM2.5, and 1.03 (95% CI: 0.98-1.07) per 5 µg/m3 increase in NO2. CONCLUSIONS: We found evidence that low-level air pollution exposure was associated with increased risk of mortality in this cohort of adults aged 45 years and over, even at the relatively low concentrations seen in Sydney. However, a clear determination of the association with mortality is difficult because the results were sensitive to some covariates. Our findings are supportive of emerging evidence that exposure to low levels of air pollution reduces life expectancy.

Blending Multiple Nitrogen Dioxide Data Sources for Neighborhood Estimates of Long-Term Exposure for Health Research.

Exposure to traffic related nitrogen dioxide (NO2) air pollution is associated with adverse health outcomes. Average pollutant concentrations for fixed monitoring sites are often used to estimate exposures for health studies, however these can be imprecise due to difficulty and cost of spatial modeling at the resolution of neighborhoods (e.g., a scale of tens of meters) rather than at a coarse scale (around several kilometers). The objective of this study was to derive improved estimates of neighborhood NO2 concentrations by blending measurements with modeled predictions in Sydney, Australia (a low pollution environment). We implemented the Bayesian maximum entropy approach to blend data with uncertainty defined using informative priors. We compiled NO2 data from fixed-site monitors, chemical transport models, and satellite-based land use regression models to estimate neighborhood annual average NO2. The spatial model produced a posterior probability density function of estimated annual average concentrations that spanned an order of magnitude from 3 to 35 ppb. Validation using independent data showed improvement, with root mean squared error improvement of 6% compared with the land use regression model and 16% over the chemical transport model. These estimates will be used in studies of health effects and should minimize misclassification bias.

The distribution of maternity services across rural and remote Australia: does it reflect population need?

BACKGROUND: Australia has a universal health care system and a comprehensive safety net. Despite this, outcomes for Australians living in rural and remote areas are worse than those living in cities. This study will examine the current state of equity of access to birthing services for women living in small communities in rural and remote Australia from a population perspective and investigates whether services are distributed according to need. METHODS: Health facilities in Australia were identified and a service catchment was determined around each using a one-hour road travel time from that facility. Catchment exclusions: metropolitan areas, populations above 25,000 or below 1,000, and a non-birthing facility within the catchment of one with birthing. Catchments were attributed with population-based characteristics representing need: population size, births, demographic factors, socio-economic status, and a proxy for isolation - the time to the nearest facility providing a caesarean section (C-section). Facilities were dichotomised by service level - those providing birthing services (birthing) or not (no birthing). Birthing services were then divided by C-section provision (C-section vs no C-section birthing). Analysis used two-stage univariable and multivariable logistic regression. RESULTS: There were 259 health facilities identified after exclusions. Comparing services with birthing to no birthing, a population is more likely to have a birthing service if they have more births, (adjusted Odds Ratio (aOR): 1.50 for every 10 births, 95% Confidence Interval (CI) [1.33-1.69]), and a service offering C-sections 1 to 2 h drive away (aOR: 28.7, 95% CI [5.59-148]). Comparing the birthing services categorised by C-section vs no C-section, the likelihood of a facility having a C-section was again positively associated with increasing catchment births and with travel time to another service offering C-sections. Both models demonstrated significant associations with jurisdiction but not socio-economic status. CONCLUSIONS: Our investigation of current birthing services in rural and remote Australia identified disparities in their distribution. Population factors relating to vulnerability and isolation did not increase the likelihood of a local birthing facility, and very remote communities were less likely to have any service. In addition, services are influenced by jurisdictions.

Effects of fucoidan from Fucus vesiculosus in reducing symptoms of osteoarthritis: a randomized placebo-controlled trial.

PURPOSE: Preliminary investigation of a fucoidan with demonstrated reduction in the symptoms of osteoarthritis (OA) of the hip and knee. PATIENTS AND METHODS: A double-blind randomized controlled trial was carried out to determine the safety and efficacy of a 300 mg dose of a Fucus vesiculosus extract (85% fucoidan) over a 12-week period in a population (n=122) with mild-to-moderate OA of the hip and knee as measured by the validated instrument "Comprehensive Osteoarthritis Test." Safety was measured by assessing cholesterol, liver function, renal function, and hematopoietic function, and closely monitoring adverse events. RESULT: Ninety-six participants completed the study. The reduction in symptoms of OA was not significantly different from the placebo response. There were no changes in the blood measurements that were of any clinical significance during the course of the study. CONCLUSION: The F. vesiculosus fucoidan extract was safe and well tolerated. At a dose of 300 mg, the extract showed no difference in reduction of OA symptoms from the placebo.

Neighbourhood walkability, road density and socio-economic status in Sydney, Australia.

BACKGROUND: Planning and transport agencies play a vital role in influencing the design of townscapes, travel modes and travel behaviors, which in turn impact on the walkability of neighbourhoods and residents' physical activity opportunities. Optimising neighbourhood walkability is desirable in built environments, however, the population health benefits of walkability may be offset by increased exposure to traffic related air pollution. This paper describes the spatial distribution of neighbourhood walkability and weighted road density, a marker for traffic related air pollution, in Sydney, Australia. As exposure to air pollution is related to socio-economic status in some cities, this paper also examines the spatial distribution of weighted road density and walkability by socio-economic status (SES). METHODS: We calculated walkability, weighted road density (as a measure of traffic related air pollution) and SES, using predefined and validated measures, for 5858 Sydney neighbourhoods, representing 3.6 million population. We overlaid tertiles of walkability and weighted road density to define "sweet-spots" (high walkability-low weighted road density), and "sour- spots" (low walkability-high weighted road density) neighbourhoods. We also examined the distribution of walkability and weighted road density by SES quintiles. RESULTS: Walkability and weighted road density showed a clear east-west gradient across the region. Our study found that only 4 % of Sydney's population lived in sweet-spot" neighbourhoods with high walkability and low weighted road density (desirable), and these tended to be located closer to the city centre. A greater proportion of neighbourhoods had health limiting attributes of high weighted road density or low walkability (about 20 % each), and over 5 % of the population lived in "sour-spot" neighbourhoods with low walkability and high weighted road density (least desirable). These neighbourhoods were more distant from the city centre and scattered more widely. There were no linear trends between walkability/weighted road density and neighbourhood SES. CONCLUSIONS: Our walkability and weighted road density maps and associated analyses by SES can help identify neighbourhoods with inequalities in health-promoting or health-limiting environments. Planning agencies should seek out opportunities for increased neighbourhood walkability through improved urban development and transport planning, which simultaneously minimizes exposure to traffic related air pollution.

A preliminary investigation into the long-term injury consequences reported by retired baseball players.

Seventy-five retired baseball players participated in a survey (37.8% response rate) in order to establish the long-term consequences of injuries sustained during their playing careers. Respondents had a mean age of 55.8 (+/-11.4) years with a mean age of 41.3 (+/-11.4) years at retirement from play. The mean overall rate of injury suffered per player/playing career was 5.6 (+/-7.1). 54.7% of respondents experienced a major injury (i.e. injury resulting in 5 or more consecutive weeks absence from training and play) with a mean major injury per player/playing career of 1.5 (+/-2.2). The rate for significant injuries (i.e. injury resulting in more than 1 week but less than 5 weeks absence from training and play) was 4.1 (+/-6.5) per player/playing career. Catchers had significantly less injuries than all other positions (p=0.027). 18.7% of all respondents reported suffering from arthritis, 24% from restricted joint mobility and 4% from chronically stiff fingers; all of these conditions were associated with their participation in baseball based on medical examination by their GP or medical specialist. 29.3% of respondents indicated that they had incurred additional medical costs and 12% reported significant loss of income associated with their injuries. Some injuries were severe enough that they resulted in extended stays in hospital producing costs carried by the health care system.

The comprehensive osteoarthritis test: a simple index for measurement of treatment effects in clinical trials.

OBJECTIVE: To assess the measurement properties of a simple index of symptom severity in osteoarthritis (OA) of the hips and knees. METHODS: Both the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) and the proposed new Comprehensive Osteoarthritis Test (COAT) instrument were completed weekly by 125 subjects in the context of a randomized, 12-week, 3 parallel-arm clinical trial. The reliabilities of the various scales were assessed on a weekly basis by use of Cronbach's alpha coefficients. The validity of the COAT total scale was assessed by correlation with the WOMAC total scale on a weekly basis with correlation coefficients, and in terms of the correlations between subject-level intercepts and slopes over time. The relative responsiveness of the WOMAC and COAT total scales was assessed using a multilevel (longitudinal) multivariate (WOMAC, COAT) linear model. RESULTS: The WOMAC and COAT total scales were highly reliable (mean over weeks: WOMAC alpha = 0.98; COAT alpha = 0.97). The correlations between the WOMAC and COAT scales were very high (mean over weeks = 0.92; subject-level intercepts = 0.91, slopes = 0.88). The COAT total scale was significantly more responsive than the WOMAC total scale in the active treatment (34.8% improvement vs 26.8%; p = 0.002). CONCLUSION: The COAT total scale is simple to administer, reliable, valid, and responsive to treatment effects.