Healthcare resource utilisation and economic burden attributable to back pain in primary care: A matched case-control study in the United Kingdom.

Objective: Incremental healthcare costs attributed to back pain, and characterisation by patient and clinical factors have rarely been documented. This study aimed to assess annual healthcare resource utilisation and costs associated with back pain in primary care. Methods: Using the IQVIA Medical Research Data (IMRD), patients with back pain were identified (study period: 01 January 2006 to 31 December 2015) using diagnostic records and analgesics prescriptions (n = 133,341), and propensity score matched 1:1 to patients without back pain. The annual incremental costs of back pain associated with consultations and prescriptions were estimated and extrapolated to a national level. Sensitivity analysis was conducted by restricting the study population to the most recent diagnosis of back pain. Variations in cost were assessed stratified by gender, age-groups, deprivation, and comorbidity categories. Results: The mean age was 57 years, and 62% were females in both the case and control groups. The total incremental healthcare costs associated with back pain was £32.5 million in 2015 (£35.9 million in 2020), with per-patient cost of £244 (£265 in 2020) per year. On a national level, this translated to an estimated £3.2 billion (£3.5 billion in 2020). Eighty percent of the costs were attributed to consultations; and female gender, older age, higher deprivation, and higher comorbidity were all associated with increased mean healthcare costs of patients with back pain. Conclusion: Our findings confirm the substantial healthcare costs attributed to back pain, even with primacy care costs only. The data also revealed significant cost variations across socio-demographic and clinical factors.

Financial stress and depression in adults: A systematic review.

Financial stress has been proposed as an economic determinant of depression. However, there is little systematic analysis of different dimensions of financial stress and their association with depression. This paper reports a systematic review of 40 observational studies quantifying the relationship between various measures of financial stress and depression outcomes in adults. Most of the reviewed studies show that financial stress is positively associated with depression. A positive association between financial stress and depression is found in both high-income and low-and middle-income countries, but is generally stronger among populations with low income or wealth. In addition to the "social causation" pathway, other pathways such as "psychological stress" and "social selection" can also explain the effects of financial stress on depression. More longitudinal research would be useful to investigate the causal relationship and mechanisms linking different dimensions of financial stress and depression. Furthermore, exploration of effects in subgroups could help target interventions to break the cycle of financial stress and depression.

Methodological considerations in the assessment of direct and indirect costs of back pain: A systematic scoping review.

BACKGROUND: Back pain is a common and costly health problem worldwide. There is yet a lack of consistent methodologies to estimate the economic burden of back pain to society. OBJECTIVE: To systematically evaluate the methodologies used in the published cost of illness (COI) literature for estimating the direct and indirect costs attributed to back pain, and to present a summary of the estimated cost burden. METHODS: Six electronic databases were searched to identify COI studies of back pain published in English up to February 2021. A total of 1,588 abstracts were screened, and 55 full-text studies were subsequently reviewed. After applying the inclusion criteria, 45 studies pertaining to the direct and indirect costs of back pain were analysed. RESULTS: The studies reported data on 15 industrialised countries. The national cost estimates of back pain in 2015 USD ranged from $259 million ($29.1 per capita) in Sweden to $71.6 billion ($868.4 per capita) in Germany. There was high heterogeneity among the studies in terms of the methodologies used for analysis and the resulting costs reported. Most of the studies assessed costs from a societal perspective (n = 29). The magnitude and accuracy of the reported costs were influenced by the case definition of back pain, the source of data used, the cost components included and the analysis method. Among the studies that provided both direct and indirect cost estimates (n = 15), indirect costs resulting from lost or reduced work productivity far outweighed the direct costs. CONCLUSION: Back pain imposes substantial economic burden on society. This review demonstrated that existing published COI studies of back pain used heterogeneous approaches reflecting a lack of consensus on methodology. A standardised methodological approach is required to increase credibility of the findings of COI studies and improve comparison of estimates across studies.

Financial health and obesity.

We use individual-level panel data from the English Longitudinal Survey of Ageing over the period 2004-2013 to investigate the links between financial health and obesity. We find that having no debt (high savings) is associated with a 3.6 (1.6) percentage point lower probability of having a Body Mass Index in excess of 30. Our results are robust to using different estimation methods, to measuring financial health with a subjective indicator, and adiposity with waist circumference. A lower rate of time preference and lower stress levels may be mechanisms which help to explain the association between good financial health and obesity.

New evidence on the impact of the Great Recession on health-compromising behaviours.

Using data from the English Longitudinal Study of Ageing over the period 2004-2017, this paper explores the effects of the Great Recession and its aftermath upon health-compromising behaviours in adults aged 50 and over. We introduce new techniques into this area of research, namely dynamic random-effects logit estimators which control for initial conditions and correlated individual effects. We observe a lack of crisis effect upon the probabilities of smoking and being physically inactive, as well as of transitioning in and out of these behaviours. In line with other recent literature, this suggests that the relationship between economic recessions and smoking and physical inactivity may have broken down. Alternatively, the over 50s may have been protected from the crisis and subsequent austerity measures. Nonetheless, both the crisis and post-crisis period were associated with a lower probability of drinking frequently.

Time to tighten the belts? Exploring the relationship between savings and obesity.

BACKGROUND: Literature suggests that the higher the rate of time preference people have, the less likely they are to save for the future. Likewise, it has been hypothesised that rising rates of being overweight/obesity are associated with an increase in peoples' marginal rate of time preference. AIM: To investigate the relationship between being overweight/ obese and the rate of time preference in an older English population, using savings as a proxy for time preference. METHODS: Three different econometric methods-Random-effects Probit Estimation, Fixed-effects Estimation, and Generalised Method of Moments Estimation-were used to explore the link between being overweight/ obese and rate of time preference in the English Longitudinal Study of Ageing dataset. Six waves of panel data spanning eleven years provided the data to test whether savings variables are related to being overweight/ obese. RESULTS: The decision to save was shown to hold a statistically significant negative relationship with body mass index but only in the Generalised Method of Moments model. Placing savings in safe, low risk investments was significantly related to a lower probability of being obese but only in the random-effects Probit model. The proportion that people saved relative to their income was not found to be significantly associated with the probability of being overweight/ obese in any of the models. CONCLUSION: There is an unclear relationship between saving behaviour and being overweight/ obese in an older English population. A financial variable such as savings is a potentially appropriate but imperfect proxy for the rate of time preference of the population. Further research is required to clarify the relationship in order to help develop strategies for obesity prevention. The inconsistency in the results between methods highlights the importance of using a wide range of alternative techniques before implementing important policy decisions.

Private medical insurance and saving: evidence from the British Household Panel Survey.

This paper uses the British Household Panel Survey for the years 1996-2000 to investigate the relationship between saving and private medical insurance in the UK. Because the National Health Service (NHS) gives comprehensive health coverage and is generally free at source, one would not expect private medical insurance to crowd-out saving. However, the NHS being characterised by long waiting lists and generally poor quality, many people prefer to use private health services. In such circumstances, those individuals who are not covered by private medical insurance, and who are therefore more exposed to facing unexpected out-of-pocket private health care expenditures or income losses while waiting for public treatment might save more for precautionary reasons than those who are covered. According to our findings, which are based on a wide range of econometric specifications, there is a positive association between insurance coverage and saving, suggesting that private medical insurance does not generally crowd-out private saving. However, we found some evidence of crowding-out in those areas where the quality of medical facilities is perceived as poor, and in rural areas, characterised by fewer NHS providers.