Evidence, and replication thereof, that molecular-genetic and environmental risks for psychosis impact through an affective pathway

Background There is evidence that environmental and genetic risk factors for schizophrenia spectrum disorders are transdiagnostic and mediated in part through a generic pathway of affective dysregulation. Methods We analysed to what degree the impact of schizophrenia polygenic risk (PRS-SZ) and childhood adversity (CA) on psychosis outcomes was contingent on co-presence of affective dysregulation, defined as significant depressive symptoms, in (i) NEMESIS-2 (n = 6646), a representative general population sample, interviewed four times over nine years and (ii) EUGEI (n = 4068) a sample of patients with schizophrenia spectrum disorder, the siblings of these patients and controls. Results The impact of PRS-SZ on psychosis showed significant dependence on co-presence of affective dysregulation in NEMESIS-2 [relative excess risk due to interaction (RERI): 1.01, p = 0.037] and in EUGEI (RERI = 3.39, p = 0.048). This was particularly evident for delusional ideation (NEMESIS-2: RERI = 1.74, p = 0.003; EUGEI: RERI = 4.16, p = 0.019) and not for hallucinatory experiences (NEMESIS-2: RERI = 0.65, p = 0.284; EUGEI: -0.37, p = 0.547). A similar and stronger pattern of results was evident for CA (RERI delusions and hallucinations: NEMESIS-2: 3.02, p < 0.001; EUGEI: 6.44, p < 0.001; RERI delusional ideation: NEMESIS-2: 3.79, p < 0.001; EUGEI: 5.43, p = 0.001; RERI hallucinatory experiences: NEMESIS-2: 2.46, p < 0.001; EUGEI: 0.54, p = 0.465). Conclusions The results, and internal replication, suggest that the effects of known genetic and non-genetic risk factors for psychosis are mediated in part through an affective pathway, from which early states of delusional meaning may arise

[Behavioural standard or coercive measure? Some considerations regarding the special issue on ROM]

BACKGROUND: The cost of mental health care has possibly risen more than costs in other sectors of health care in the Netherlands. In an attempt to control the rising costs, new policies have been implemented that include the introduction of selective financial penalties for those in need of mental health care as well as the start of performance-based mental health care reimbursement. In order to achieve the latter goal, a nation-wide large-scale data collection was introduced based on clinical routine outcome monitoring (ROM) data, with a view to using these data for benchmarking. AIM: Closer inspection of the benchmarking efforts in terms of scientific validity. METHOD: Qualitative review and analysis. RESULTS: Analysis shows that the type of ROM data that is collected in the Netherlands is valid for tracking the outcomes of individual patients, but unsuitable for performance comparisons between institutions for reasons of case-mix, instrument-mix, bias and lack of sensitivity. CONCLUSION: Attempts to introduce benchmarking based on rom will probably have a negative impact on the practice of mental health care in the Netherlands. More input from mental health professionals and scientists is required in order to identify more rational and efficient ways of spending scarce resources

[Behavioural standard or coercive measure? Some considerations regarding the special issue on ROM]

BACKGROUND: The cost of mental health care has possibly risen more than costs in other sectors of health care in the Netherlands. In an attempt to control the rising costs, new policies have been implemented that include the introduction of selective financial penalties for those in need of mental health care as well as the start of performance-based mental health care reimbursement. In order to achieve the latter goal, a nation-wide large-scale data collection was introduced based on clinical routine outcome monitoring (ROM) data, with a view to using these data for benchmarking. AIM: Closer inspection of the benchmarking efforts in terms of scientific validity. METHOD: Qualitative review and analysis. RESULTS: Analysis shows that the type of ROM data that is collected in the Netherlands is valid for tracking the outcomes of individual patients, but unsuitable for performance comparisons between institutions for reasons of case-mix, instrument-mix, bias and lack of sensitivity. CONCLUSION: Attempts to introduce benchmarking based on rom will probably have a negative impact on the practice of mental health care in the Netherlands. More input from mental health professionals and scientists is required in order to identify more rational and efficient ways of spending scarce resources

[Cost-effectiveness in Dutch mental health care: future because of ROM?]

Item does not contain fulltextBACKGROUND: The document reporting Dutch mental health care negotiations for 2014 - 2017 calls for a cost decrease based on cost-effectiveness. Thanks to rom, the Dutch mental health care seems well prepared for cost-effectiveness research. AIM: Evaluate how valid cost-effectiveness research should be established in mental health care and the role of rom therein. METHOD: Evaluation of requirements of cost-effectiveness research, trends, and a translation to Dutch mental health care. RESULTS: Valid cost-effectiveness research in mental health care requires the application of a societal perspective, a long time-horizon and an adequate evaluation of quality of life of patients. Healthcare consumption, outcome of care and characterisation of the patient population should be measured systematically and continuously. Currently, rom-data are not suitable to serve as a basis for cost-effectiveness research, although a proper basis is present. Further development of rom could lead to a situation in which mental health care is purchased on the basis of cost-effectiveness. However, cost-effectiveness will only really be improved if quality of care is rewarded, rather than rewarding activities that are not always related to outcome of care. CONCLUSION: Cost-effectiveness research in mental health care should focus on societal costs and benefits, quality of life and a long time-horizon. If developed further, rom has the potential to be a basis for cost-effectiveness research in the future

Routine outcome monitoring voor patienten met ernstige psychiatrische aandoeningen; een consensusdocument.

BACKGROUND: Routine outcome monitoring (rom) means the assessment of the patient's condition on a routine basis using instruments. So far there is no consensus about which instruments should be used for rom with severely mentally ill patients (rom-smi). AIM: To reach a consensus about instruments for rom-smi in the Netherlands and Belgium and to create possibilities for comparison of rom data. METHOD: This article discusses the consensus document of the National Remission Working Group for rom in patients with smi and covers the following topics: reasons for rom-smi, domains for rom-smi and appropriate instruments, logistics and analyses of the data. results Patients with smi have problems in several domains. These can be assessed by collecting information about psychiatric symptoms, addiction, somatic problems, general functioning, needs, quality of life and care satisfaction. Potential instruments for rom-smi are short, valid, reliable and assess several domains, taking the patient's perspective into account, and have been used in national and international research. The working group advises institutions to choose from a limited set of instruments. After the scores have been aggregated and standardised, comparisons can be drawn. rom-smi data can be interpreted more meaningfully, if outcome data are supplemented with data regarding patient characteristics and the treatment interventions already applied. CONCLUSION: It should be possible to reach a consensus about instruments for romsmi and the way in which they should be used. The use of identical instruments will lead to improvements in mental health care and create possibilities for comparison (benchmarking) and research