The effects of a structured communication tool in patients with medically unexplained physical symptoms: a cluster randomized trial.

Background: Medically Unexplained Physical Symptoms (MUPS) are prevalent among primary care patients and frequently lead to diminished quality of life, increased healthcare costs, and decreased work participation. We aimed to examine the effects of a work-focused structured communication tool based on cognitive-behavioral therapy in patients with MUPS. Methods: In a Norwegian two-arm cluster randomized trial, the effectiveness of the structured communication tool Individual Challenge Inventory Tool (ICIT) was compared to usual care for patients with MUPS using a two-arm cluster randomized design. Enrollment period was between March 7 and April 1, 2022. Ten groups (clusters) of 103 General Practitioners (GPs) were randomized to provide the ICIT or usual care for 11 weeks. Patients received two or more sessions with their GP, and outcomes were assessed individually. Primary outcome was patient-reported change in function, symptoms, and quality of life measured by the Patient Global Impression of Change (PGIC). Secondary outcomes included sick leave, work-related self-efficacy (RTW-SE), health-related quality of life (RAND-36), and patient experiences with consultants (PEQ). The trial was registered on ClinicalTrials.gov (NCT05128019). Findings: A total of 541 patients with MUPS were enrolled in the study. In the intervention group 76% (n = 223) showed a significant overall improvement in function, symptoms, and quality of life as measured by the PGIC, compared to 38% (n = 236) in the usual care group (mean difference -0.8 ([95% CI -1.0 to -0.6]; p < 0.0001). At 11 weeks, the intervention group had a 27-percentage point decrease in sick leave (from 52.0 to 25.2), compared to 4-percentage point decrease (from 49.7 to 45.7) in the usual care group. Furthermore, compared to usual care, the intervention group reported significant improvements in work-related self-efficacy, health-related quality of life, and greater satisfaction with the communication during the consultations. No adverse events were reported. Interpretation: The implementation of the structured communication tool ICIT in primary care significantly improved patient outcomes and reduced sick leave among patients with MUPS. Funding: The study was funded by The Norwegian Research Fund for General Practice.

Preferences of healthcare workers for provider payment systems in The Gambia's National Health Insurance Scheme.

BACKGROUND: The Government of The Gambia introduced a national health insurance scheme (NHIS) in 2021 to promote universal health coverage (UHC). Provider payment systems (PPS) are strategic purchasing arrangements that can enhance provider performance, accountability, and efficiency in the NHIS. This study assessed healthcare workers' (HCWs') preferences for PPS across major service areas in the NHIS. METHODS: A facility-based cross-sectional study was conducted using a probability proportionate to size sampling technique to select an appropriate sample size. Health care workers were presented with options for PPS to choose from across major service areas. Descriptive statistics explored HCW socio-demographic and health service characteristics. Multinomial logistic regressions were used to assess the association between these characteristics and choices of PPS. RESULTS: The majority of HCW did not have insurance coverage, but more than 60% of them were willing to join and pay for the NHIS. Gender, professional cadre, facility level, and region influenced HCW's preference for PPS across the major service areas. The preferred PPS varied among HCW depending on the service area, with capitation being the least preferred PPS across all service areas. CONCLUSION: The National Health Insurance Authority (NHIA) needs to consider HCW's preference for PPS and factors that influence their preferences when choosing various payment systems. Strategic purchasing decisions should consider the incentives these payment systems may create to align incentives to guide provider behaviour towards UHC. The findings of this study can inform policy and decision-makers on the right mix of PPS to spur provider performance and value for money in The Gambia's NHIS.

Productivity Loss Across Socioeconomic Groups Among Patients With Low Back Pain or Osteoarthritis: Estimates Using the Friction-Cost Approach in Norway.

OBJECTIVES: Our aim was to estimate the productivity loss (PL) among patients with low back pain (LBP) or osteoarthritis (OA) across socioeconomic groups, using the friction-cost approach (FCA). METHODS: A total of 175,550 patients aged 18-65 years were included at their first diagnosis in specialty care between 2011 and 2016. PL was calculated for the year following diagnosis using individual wages, while adjusting for the friction length at 78 days per episode, a team production multiplier at 1.6, compensation mechanisms of 26.8%, and a chain-of-vacancies multiplier at 3.95. We included a simpler FCA model, omitting the latter three parameters, and a human capital approach (HCA) model. Socioeconomic stratifications were created based on education and income. One-way sensitivity analysis was used to assess the influence of the parameters in the full FCA model. RESULTS: The overall mean number of absent days was 23, while it was 25.3 and 20.1 for those with low and high education levels. The per-patient friction costs were €4395 among all patients and when extending the friction length to 98 days costs were €4342. For those with low and high education levels, the costs were €3671 and €4464, respectively. The costs in the simple FCA and HCA models were €1539 and €2088. DISCUSSION: Socioeconomic status and model design are sources of variation in PL. In health economic applications with PL and in patient populations with large socioeconomic differences, adjusting for these factors may be as important as sensitivities in parameters such as the friction length.

The effect of physician density on colorectal cancer stage at diagnosis: causal inference methods for spatial data applied on regional-level data.

BACKGROUND: The early detection of colorectal cancer (CRC) through regular screening decreases its incidence and mortality rates and improves survival rates. Norway has an extremely high percentage of CRC cases diagnosed at late stages, with large variations across municipalities and hospital catchment areas. This study examined whether the availability of physicians related to CRC primary diagnosis and preoperative investigations, or physician density, contributes to the observed geographical differences in late-stage incidence rates. METHOD: Municipality-level data on CRC stage at diagnosis were obtained from the Cancer Registry of Norway for the period 2012-2020. Physician density was calculated as the number of physicians related to CRC investigations, general practitioners (GPs) and specialists per 10,000 people, using physician counts per municipality and hospital areas from Statistics Norway. The relationship was examined using a novel causal inference method for spatial data-neighbourhood adjustment method via spatial smoothing (NA approach)-which allowed for studying the region-level effect of physician supply on CRC outcome by using spatially referenced data and still providing causal relationships. RESULTS: According to the NA approach, an increase in one general practitioner per 10,000 people will result in a 3.6% (CI -0.064 to -0.008) decrease in late-stage CRC rates. For specialists, there was no evidence of a significant correlation with late-stage CRC distribution, while for both groups, GPs and specialists combined, an increase of 1 physician per 10,000 people would be equal to an average decrease in late-stage incidence rates by 2.79% (CI -0.055 to -0.001). CONCLUSION: The study confirmed previous findings that an increase in GP supply will significantly improve CRC outcomes. In contrast to previous research, this study identified the importance of accessibility to both groups of physicians-GPs and specialists. If GPs encounter insufficient workforces in hospitals and long delays in colonoscopy scheduling, they will less often recommend colonoscopy examinations to patients. This study also highlighted the efficiency of the novel methodology for spatially referenced data, which allowed us to study the effect of physician density on cancer outcomes within a causal inference framework.

Willingness to pay for a National Health Insurance Scheme in The Gambia: a contingent valuation study.

In pursuit of universal health coverage, many low- and middle-income countries are reforming their health financing systems and introducing health insurance schemes. As part of these reforms, lawmakers in The Gambia enacted 'The National Health Insurance Bill, 2021'. The Act will establish a National Health Insurance Scheme (NHIS) that pays for the cost of healthcare services for its members. This study assessed Gambians' willingness to pay (WTP) for a NHIS. Using multistage sampling design with no replacement, head/co-head of households were presented with a hypothetical health insurance scheme from July to August 2020. Their WTP and factors influencing WTP were elicited using a contingent valuation method. Descriptive statistics were used to describe sample characteristics. Lopez-Feldman's modified ordered probit model and linear regression were applied to estimate respondents' WTP as well as identify factors that influence their WTP. More than 90% of the respondents-677 (94.4%) were willing to join and pay for the scheme. Half of these respondents-398 (58.8%) agreed to pay the first bid of US dollars (US$) 20.78 or Gambian dalasi (GMD) 1000. The average WTP was estimated at US$23.27 (GMD1119.82), whereas average maximum amount to pay was US$26.01 (GMD1251.16). Results of the two models together showed that gender, level of education and household income were statistically significant, with the latter showing negative influence on WTP. The study found that Gambians were largely receptive to the scheme and have stated their willingness to contribute. Our findings can inform policymakers in The Gambia and other sub-Saharan countries when establishing contribution rates and exemption criteria during social health insurance scheme implementation.

Referral assessment and patient waiting time decisions in specialized mental healthcare: an exploratory study of early routine collection of PROM (LOVePROM).

BACKGROUND: Norway has prioritized health services according to the principle of "severity of conditions", where waiting time reflects patients' medical urgency. We aim to investigate if the "severity-of-condition" principle performs well in the priority setting of waiting time, between and within groups of patients using community mental health services. We also aim to investigate the association between patients' diagnoses and symptom severity at the start of treatment and the corresponding waiting time. METHODS: The study analyzed routine data from Lovisenberg electronic Patient-Reported Outcome Measurement (LOVePROM) at Lovisenberg Diaconal Hospital in Norway. We estimated patient-reported severity by using Clinical Outcomes in Routine Evaluation - Outcome Measure (CORE-OM), together with patients' diagnoses to identify patients' needs in general. To assess the performance of current prioritization, we compared waiting times for patients with major depressive disorder and their maximum recommended waiting time. Multivariate regression models were used to assess the association between patient-reported severity, their diagnosis, and waiting times. RESULTS: Of the 6108 mental health disorder patients, patients with moderate to severe conditions waited seven weeks, while patients with mild conditions or below clinical cutoff waited 8 weeks. Included in the sample, 1583 were diagnosed with depression. Results indicated that patients with moderate and severe depression had a slightly shorter wait-time than patients with mild depression. However, 32.4% patients with moderate depression and 83.3% patients with severe depression, waited longer than their maximum recommended waiting time. CORE-OM identified depressive patients with risk-to-self harm, who had a 0.84 weeks shorter wait-time. These results were also applied to patients with other common mental health disorders. CONCLUSION: Overall, patients waited in accordance with the "severity of condition" principle, but the trend was not strong. Therefore, we advocate that there is substantial room for quality improvements in priority setting on waiting time. We suggest further research should investigate if routine collection of PROM and assessment of referral letters, can better inform specialists when deciding on waiting time.

Treating patients with opioid overdose at a primary care emergency outpatient clinic: a cost-minimization analysis.

BACKGROUND: Treating patients with acute poisoning by substances of abuse in a primary care emergency clinic has previously been shown to be a safe strategy. We conducted an economic evaluation of this strategy compared to hospital treatment, which is the usual strategy. METHODS: Assuming equal health outcomes, we conducted a cost-minimization analysis. We constructed a representative opioid overdose patient based on a cohort of 359 patients treated for opioid overdose at the Oslo Accident and Emergency Outpatient Clinic (OAEOC) from 1.10.2011 to 30.9.2012. Using a health care system perspective, we estimated the expected resources used on the representative patient in primary care based on data from the observed OAEOC cohort and on information from key informants at the OAEOC. A likely course of treatment of the same patient in a hospital setting was established from information from key informants on provider procedures at Drammen Hospital, as were estimates of hospital use of resources. We calculated expected costs for both settings. Given that the treatments usually last for less than one day, we used undiscounted cost values. RESULTS: The estimated per patient cost in primary care was 121 EUR (2018 EUR 1.00 = NOK 9.5962), comprising 97 EUR on personnel costs and 24 EUR on treatment costs. In the hospital setting, the corresponding cost was 612 EUR, comprising 186 EUR on personnel costs, 183 EUR on treatment costs, and 243 EUR associated with intensive care unit admission. The point estimate of the cost difference per patient was 491 EUR, with a low-difference scenario estimated at 264 EUR and a high-difference scenario at 771 EUR. CONCLUSIONS: Compared to hospital treatment, treating patients with opioid overdose in a primary care setting costs substantially less. Our findings are probably generalizable to poisoning with other substances of abuse. Implementing elements of the OAEOC procedure in primary care emergency clinics and in hospital emergency departments could improve the use of health care resources.

Hepatitis B vaccination among 1997-2011 birth cohorts in rural China: the potential for further catch-up vaccination and factors associated with infant coverage rates.

Hepatitis B vaccination rates in China have recently increased. This study aimed to investigate infant vaccination coverage for birth cohorts from 1997 to 2011 in rural regions and to assess catch-up vaccination potential. We used questionnaire-based interviews from a cross-section of 6,529 individuals from seven provinces. Logistic regression analyses were used to model two measures of infant vaccination status, namely, birth dose within 24 hours and three doses within the first year of life. During interviews, individuals' vaccination status and vaccination plan were recorded. Unvaccinated individuals without plans for future vaccination were presented with a hypothetical offer of free vaccination and indirect cost compensation. Institutional birth rates were higher than vaccination rates, but both increased over time. Vaccination coverage rates were not significantly associated with sex. Infant vaccination coverage was positively associated with a mother's educational level, household income level, knowledge of transmission routes, and perceived duration of protection obtained through vaccination. Vaccination status at the time of the survey showed the occurrence of catch-up vaccinations, but a notable percentage of individuals remained unvaccinated and had no plans for future vaccination. Of these individuals, approximately 50% were prepared to accept vaccination if offered free of charge.

Supply factors as determinants of treatment costs: clinicians' assessments of a given set of referrals to community mental health centers in Norway.

BACKGROUND: Previous works that uses patterns of prior spending to predict future mental health care expenses (utilization models) are mainly concerned with demand (need) variables. In this paper, we introduce supply variables, both individual rater variables and center variables. The aim is to assess these variables' explanatory power, and to investigate whether not accounting for such variables could create biased estimates for the effects of need variables. METHODS: We employed an observational study design where the same set of referrals was assessed by a sample of clinicians, thus creating data with a panel structure being particularly relevant for analyzing supply factors. The referrals were obtained from Norwegian Community Mental Health Centers (outpatient services), and the clinicians assessed the referrals with respect to recommended treatment costs and health status. RESULTS: Supply variables accounted for more than 10% of the total variation and about one third of the explained variation. Two groups of supply variables, individual rater variables and center variables (institutions) were equally important. CONCLUSIONS: Our results confirm that supply factors are important but ignoring such variables, when analyzing demand variables, do not generally seem to produce biased (confounded) coefficients.

Socioeconomic inequality in Hepatitis B vaccination of rural adults in China.

Hepatitis B (HB) vaccination is the most effective way to prevent HB virus infection. While measures taken to control the prevalence of HB have achieved significant results, HB prevalence in rural China among adults remains problematic. This study sheds new light on the determinants of HB vaccine uptake and its inequality according to socioeconomic status in rural areas of China. We interviewed 22,283 adults, aged 18-59 years, from 8444 households, in 48 villages from 8 provinces. Vaccination status was modeled by using two logistic models: whether take at least one HB vaccine and whether to complete the entire vaccination regime. The Erreygers' concentration index ([Formula: see text]) was used to quantify the degree of inequality and the decomposition approach was used to uncover the determinants of inequality in vaccine uptake. We found that the coverage rate of HB vaccination is 20.2%, and the completion rate is 16.0%. The [Formula: see text] of at least one dose (0.081) and three doses (0.076) revealed a substantial pro-rich inequality. Income contributed the largest percentage to HB vaccination inequalities (52.17% for at least one dose and 52.03% for complete vaccinations). HB awareness was another important cause of inequality in HB vaccination (around 30%). These results imply that rich had a greater tendency to vaccinate and inequality favouring the rich was almost equal for the complete three doses. While the factors associated with HB vaccination uptake and inequalities were multifaceted, income status and HB awareness were the main barriers for the poor to take HB vaccine by adults in rural China.

Disenrollment from general practitioners among chronic patients: a register-based longitudinal study of Norwegian claims data.

BACKGROUND: Norwegian general practitioners (GPs) consult on a variety of conditions with a mix of patient types. Patients with chronic diseases benefit from appropriate continuity of care and generally visit their GPs more often than the average patient. Our aim was to study disenrollment patterns among patients with chronic diseases in Norway, because such patterns could indicate otherwise unobserved GP quality. For instance, higher quality GPs could have both a greater share of patients with chronic diseases and lower disenrollment rates. METHODS: Data on 384,947 chronic patients and 3,974 GPs for the years 2009-2011 were obtained from national registers, including patient and GP characteristics, disenrollment data, and patient list composition. The birth cohorts from 1940 and 1970 (146,906 patients) were included for comparison. Patient and GP characteristics, comorbidity, and patient list composition were analyzed using descriptive statistics. Patients' voluntary disenrollment was analyzed using logistic regression models. RESULTS: The GPs' proportion of patients with a given chronic disease varied more than expected when the allocation was purely random. The proportions of patients with different chronic diseases were positively correlated, partly due to comorbidity. Patients tended to have lower disenrollment rates from GPs who had higher shares of patients with the same chronic disease. Disenrollment rates were generally lower from GPs with higher shares of patients with arthritis or depression, and higher from GPs who had higher shares of patients with diabetes type 1 and schizophrenia. This was the same in the comparison group. CONCLUSION: Patients with a chronic disease appeared to prefer GPs who have higher shares of patients with the same disease. High shares of patients with some diseases were also negatively associated with disenrollment for all patient groups, while other diseases were positively associated. These findings may reflect the GPs' general quality, but could alternatively result from the GPs' specialization in particular diseases. The supportive findings for the comparison group make it more plausible that high shares of chronic patients could indicate GP quality.

Hepatitis B discrimination in everyday life by rural migrant workers in Beijing.

BACKGROUND: In China, the hepatitis B virus (HBV) is a particularly challenging public health issue, with an estimated 90 million chronic hepatitis B carriers accounting for almost 7% of the population. Health-related discrimination can serve as a barrier to prevention and care for infectious diseases, such as HBV, degrade the HBV sufferers' quality of life and limit HBV patients' employment opportunities. While rural migrants account for up to 40% of the total urban population in the developed cities in China, there has been no study of the discrimination behavior of rural migrant workers toward HBV carriers. OBJECTIVE: This study evaluates the discrimination behavior of rural migrant workers toward HBV carriers and patients and proposes public policy recommendations to address discrimination and stigma. METHODS: The sample comprised 903 rural adults, aged over 18 years old, who migrated to Beijing. Using a face-to-face interview, we surveyed rural migrants' demographic characteristics, knowledge of HBV and discrimination against HBV carriers. Descriptive statistics were used to characterize the study population, HBV stigma and knowledge of HBV. Three discrimination levels (no-mild, medium and severe discrimination) were modeled using multiple logistic regression. RESULTS: Rural migrants to Beijing had a mean age of 36 years, were overwhelmingly married (91.58%), mostly with a junior high school or lower education (78.05%) and mainly engaged as temporary workers (42.52%) or self-employed (33.78%). Only 30.56% reported that they had been vaccinated against HBV. On the 0-10 discrimination scale, rural migrants rated 6.24, with only 4.54% displaying no sign of HBV-related discrimination. The high discrimination score occurred alongside a low mean knowledge of HBV (7.61 on the 1-22 ranking of HBV knowledge). Multiple logistic regression results suggest an inverse relationship between discrimination levels and HBV knowledge, especially knowledge about treatment and transmission routes. The "fear of being infected with HBV" and being HBV vaccinated was positively associated with HBV-related discrimination. Unemployed rural migrants were more likely to exhibit severe HBV-related discrimination than other occupational groups. Personal attributes, such as gender, age, marital status and education level were not associated with the level of discrimination. CONCLUSIONS: Knowledge of HBV, its transmission and treatment, and the fear of HBV infection were key features in understanding HBV discrimination by rural migrant workers. To reduce discrimination, HBV public health education campaigns need to focus on both knowledge about HBV and the fear of HBV infection. Such campaigns should target rural migrant subgroups, such as unemployed rural migrant workers.

Hepatitis B birth dose vaccination rates among children in Beijing: A comparison of local residents and first and second generation migrants.

Providing hepatitis B vaccine to all neonates within 24 hours of birth (Timely Birth Dose, TBD) is the key preventative measure to control perinatal hepatitis B virus infection. Previous Chinese studies of TBD only differentiated between migrant and non-migrant (local-born generation-LG) children. Our study is the first to stratify migrants in Beijing into first generation migrants (FGM) and second generation migrants (SGM). Based on a questionnaire survey of 2682 people in 3 Beijing villages, we identified 283 children aged 0-15 years, from 246 households, who were eligible for a TBD. Multinomial logistic regression and statistical analyses were used to examine factors explaining TBD rates for LG, FGM and SGM children. Surprisingly, the TBD for LG Beijing children was not significantly different from migrant children. But after stratifying migrant children into FGM and SGM, revealed significant TBD differences were revealed across LG, FGM and SGM according to domicile (p-value < 0.001, OR = 3.24), first vaccination covered by government policy (p-value < 0.05, OR = 3.24), mother's knowledge of hepatitis B (p-value < 0.05, OR = 1.01) and the government's HBV policy environment (p-value < 0.05, OR = 2.338). Birthplace (p-value = 0.002, OR = 6.21) and better policy environments (p-value = 0.01, OR = 2.80) were associated with higher TBD rate for LG and SGM children. Compared with FGM children, SGM had a significantly poorer TBD rate (Fisher exact test of chi-square = 0.013). We identified SGM as a special risk group; proposed Hukou reform to improve SGM TBD; and called for Beijing health authorities to match TBD rates in other provinces, especially by improving practices by health authorities and knowledge of parents.

Factors explaining priority setting at community mental health centres: a quantitative analysis of referral assessments.

BACKGROUND: Clinicians at Norwegian community mental health centres assess referrals from general practitioners and classify them into three priority groups (high priority, low priority, and refusal) according to need where need is defined by three prioritization criteria (severity, effect, and cost-effectiveness). In this study, we seek to operationalize the three criteria and analyze to what extent they have an effect on clinical-level priority setting after controlling for clinician characteristics and organisational factors. METHODS: Twenty anonymous referrals were rated by 42 admission team members employed at 14 community mental health centres in the South-East Health Region of Norway. Intra-class correlation coefficients were calculated and logistic regressions were performed. RESULTS: Variation in clinicians' assessments of the three criteria was highest for effect and cost-effectiveness. An ordered logistic regression model showed that all three criteria for prioritization, three clinician characteristics (education, being a manager or not, and "guideline awareness"), and the centres themselves (fixed effects), explained priority decisions. The relative importance of the explanatory factors, however, depended on the priority decision studied. For the classification of all admitted patients into high- and low-priority groups, all clinician characteristics became insignificant. For the classification of patients, into those admitted and non-admitted, one criterion (effect) and "being a manager or not" became insignificant, while profession ("being a psychiatrist") became significant. CONCLUSIONS: Our findings suggest that variation in priority decisions can be reduced by: (i) reducing the disagreement in clinicians' assessments of cost-effectiveness and effect, and (ii) restricting priority decisions to clinicians with a similar background (education, being a manager or not, and "guideline awareness").

Hepatitis B vaccination coverage rates among adults in rural China: are economic barriers relevant?

BACKGROUND: Hepatitis B virus (HBV) infections cause major health problems in China. The Expanded Program of Immunization has succeeded in reducing infection rates among infants and children, but HBV vaccination coverage rates among adults remain low. OBJECTIVE: The objective was to investigate how individual adult HBV vaccination decisions are influenced by economic factors, socioeconomic status, and demographic characteristics, and to assess how potential vaccination policies could affect HBV vaccination coverage rates among adults. METHODS: We interviewed 22,618 adults, aged 15-59 years, from 7948 households, in 45 villages from 7 provinces. A questionnaire was used to collect information. The actual vaccine status was modeled using a polychotomous logistic regression with three outcomes; unvaccinated, partial vaccination, and complete vaccination. A subsample of unvaccinated adults gave responses to a hypothetical vaccination policy that offered HBV vaccination free of charge and various amounts of money to compensate for direct and indirect vaccination-related costs. RESULTS: The polychotomous logistic regression results suggest that vaccination user fees, time needed to get a vaccination, and vaccination-related travel costs were negatively associated with HBV vaccination coverage rates. Higher income was associated with higher coverage rates, and coverage rates decrease with age, with no significant difference between the genders. In the subsample that responded to the hypothetical policy, 55-72% (depending on the amount of money offered as compensation) stated they would accept a vaccination if it was offered free of charge. CONCLUSIONS: Our polychotomous logistic regression results suggest that higher HBV vaccination coverage rates among adults are obtainable and that user fees, time needed to get a vaccination, and travel costs have acted as economic barriers to vaccination. This is supported by the responses to the hypothetical policy, which suggest that adult coverage rates could surge if HBV vaccine is offered at no cost.