Basics of qualitative research: Grounded theory procedures and techniques

https://hull-repository.worktribe.com/preview/1797952/1-s2.0-S0140673618322797-main.pdf

Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

https://digital.library.adelaide.edu.au/dspace/bitstream/2440/104804/2/hdl_104804.pdf

Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

Background
Decision aids are intended to help people participate in decisions that involve weighing the benefits and harms of treatment options often with scientific uncertainty.

Objectives
To assess the effects of decision aids for people facing treatment or screening decisions.

Search methods
For this update, we searched from 2009 to June 2012 in MEDLINE; CENTRAL; EMBASE; PsycINFO; and grey literature. Cumulatively, we have searched each database since its start date including CINAHL (to September 2008).

Selection criteria
We included published randomized controlled trials of decision aids, which are interventions designed to support patients' decision making by making explicit the decision, providing information about treatment or screening options and their associated outcomes, compared to usual care and/or alternative interventions. We excluded studies of participants making hypothetical decisions.

Data collection and analysis
Two review authors independently screened citations for inclusion, extracted data, and assessed risk of bias. The primary outcomes, based on the International Patient Decision Aid Standards (IPDAS), were:

A) 'choice made' attributes;

B) 'decision-making process' attributes.

Secondary outcomes were behavioral, health, and health-system effects. We pooled results using mean differences (MD) and relative risks (RR), applying a random-effects model.

Main results
This update includes 33 new studies for a total of 115 studies involving 34,444 participants. For risk of bias, selective outcome reporting and blinding of participants and personnel were mostly rated as unclear due to inadequate reporting. Based on 7 items, 8 of 115 studies had high risk of bias for 1 or 2 items each.

Of 115 included studies, 88 (76.5%) used at least one of the IPDAS effectiveness criteria: A) 'choice made' attributes criteria: knowledge scores (76 studies); accurate risk perceptions (25 studies); and informed value-based choice (20 studies); and B) 'decision-making process' attributes criteria: feeling informed (34 studies) and feeling clear about values (29 studies).

A) Criteria involving 'choice made' attributes:

Compared to usual care, decision aids increased knowledge (MD 13.34 out of 100; 95% confidence interval (CI) 11.17 to 15.51; n = 42). When more detailed decision aids were compared to simple decision aids, the relative improvement in knowledge was significant (MD 5.52 out of 100; 95% CI 3.90 to 7.15; n = 19). Exposure to a decision aid with expressed probabilities resulted in a higher proportion of people with accurate risk perceptions (RR 1.82; 95% CI 1.52 to 2.16; n = 19). Exposure to a decision aid with explicit values clarification resulted in a higher proportion of patients choosing an option congruent with their values (RR 1.51; 95% CI 1.17 to 1.96; n = 13).

B) Criteria involving 'decision-making process' attributes:

Decision aids compared to usual care interventions resulted in:

a) lower decisional conflict related to feeling uninformed (MD -7.26 of 100; 95% CI -9.73 to -4.78; n = 22) and feeling unclear about personal values (MD -6.09; 95% CI -8.50 to -3.67; n = 18);

b) reduced proportions of people who were passive in decision making (RR 0.66; 95% CI 0.53 to 0.81; n = 14); and

c) reduced proportions of people who remained undecided post-intervention (RR 0.59; 95% CI 0.47 to 0.72; n = 18).

Decision aids appeared to have a positive effect on patient-practitioner communication in all nine studies that measured this outcome. For satisfaction with the decision (n = 20), decision-making process (n = 17), and/or preparation for decision making (n = 3), those exposed to a decision aid were either more satisfied, or there was no difference between the decision aid versus comparison interventions. No studies evaluated decision-making process attributes for helping patients to recognize that a decision needs to be made, or understanding that values affect the choice.

C) Secondary outcomes

Exposure to decision aids compared to usual care reduced the number of people of choosing major elective invasive surgery in favour of more conservative options (RR 0.79; 95% CI 0.68 to 0.93; n = 15). Exposure to decision aids compared to usual care reduced the number of people choosing to have prostate-specific antigen screening (RR 0.87; 95% CI 0.77 to 0.98; n = 9). When detailed compared to simple decision aids were used, fewer people chose menopausal hormone therapy (RR 0.73; 95% CI 0.55 to 0.98; n = 3). For other decisions, the effect on choices was variable.

The effect of decision aids on length of consultation varied from 8 minutes shorter to 23 minutes longer (median 2.55 minutes longer) with 2 studies indicating statistically-significantly longer, 1 study shorter, and 6 studies reporting no difference in consultation length. Groups of patients receiving decision aids do not appear to differ from comparison groups in terms of anxiety (n = 30), general health outcomes (n = 11), and condition-specific health outcomes (n = 11). The effects of decision aids on other outcomes (adherence to the decision, costs/resource use) were inconclusive.

Authors' conclusions
There is high-quality evidence that decision aids compared to usual care improve people's knowledge regarding options, and reduce their decisional conflict related to feeling uninformed and unclear about their personal values. There is moderate-quality evidence that decision aids compared to usual care stimulate people to take a more active role in decision making, and improve accurate risk perceptions when probabilities are included in decision aids, compared to not being included. There is low-quality evidence that decision aids improve congruence between the chosen option and the patient's values.

New for this updated review is further evidence indicating more informed, values-based choices, and improved patient-practitioner communication. There is a variable effect of decision aids on length of consultation. Consistent with findings from the previous review, decision aids have a variable effect on choices. They reduce the number of people choosing discretionary surgery and have no apparent adverse effects on health outcomes or satisfaction. The effects on adherence with the chosen option, cost-effectiveness, use with lower literacy populations, and level of detail needed in decision aids need further evaluation. Little is known about the degree of detail that decision aids need in order to have a positive effect on attributes of the choice made, or the decision-making process.

/pdf/decision-aids-for-people-facing-health-treatment-or-1j1706q17l.pdf

Decision aids for people facing health treatment or screening decisions

Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010.

Objectives The purpose of this study was to assess (1) the overall mental health of Members of Parliament (MPs) and (2) awareness among MPs of the mental health support services available to them in Parliament. Design An anonymous self-completed online cross-sectional survey was conducted in December 2016. Setting 56th UK House of Commons. Participants All 650 members of the 56th UK House of Commons were invited to participate; 146 MPs (23%) completed the survey. Outcomes The General Health Questionnaire-12 was used to assess age- and sex-standardised prevalence of probable common mental disorders (CMD). Results were compared with a nationally representative survey, the Health Survey for England (HSE) 2014. Core demographic questions, MPs’ awareness of available mental health services, their willingness to discuss mental health issues with party Whips and fellow MPs and the effects of employment outside Parliament were assessed. Results Comparison of MP respondents with HSE comparator groups found that MPs have higher rates of mental health problems (age- and sex-standardised prevalence of probable CMD in 49 surveyed MPs 34% (95% CI 27% to 42%) versus 17% (95% CI 13% to 21%) in the high-income comparison group). Survey respondents were younger, more likely to be female and more educated compared with all MPs. 77% of MPs (n=112) did not know how to access in-house mental health support. 52% (n=76) would not discuss their mental health with party Whips or other MPs (48%; n=70). Conclusions MPs in the study sample had higher rates of mental health problems than rates seen in the whole English population or comparable occupational groups. Most surveyed MPs are unaware of mental health support services or how to access them. Our findings represent a relatively small sample of MPs. There is a need for MPs to have better awareness of, and access to, mental health support.

https://bmjopen.bmj.com/content/bmjopen/9/7/e027892.full.pdf

Mental health of UK Members of Parliament in the House of Commons: a cross-sectional survey.

Background. There is as yet little evidence available regarding the long-term outcomes of people with severe and enduring mental illness who have been cared for primarily in the community, Methods. A 12-year follow-up was carried out of the clinical and social problems and needs for care of a group of long-term mentally ill patients (N = 81) who were heavy users of psychiatric services when originally assessed in the Camberwell High Contact Survey between 1983 and 1985. The MRC Needs for Care Assessment Schedule used in the original baseline study was repeated at follow-up. Results. The clinical and social functioning of the group had remained relatively stable, with high levels of problems and needs at both time points and little evidence of significant improvement or deterioration. The majority had remained in contact with services. There was some increase in levels of unmet as well as met needs, and a decrease in ratings of unmeetable needs, which may have been due to changes in clinical practice. Conclusion. The challenge for current service providers is not only to keep clients stable, but also to help improve the clinical and social functioning of people who may no longer be the highest priority of current community mental health services. This could be approached by identifying the continuing needs of this group, and persistently delivering active treatments.

/pdf/the-longer-term-outcomes-of-community-care-a-12-year-follow-4staac3cq9.pdf

Graham Thornicroft

Papers

Mental health of UK Members of Parliament in the House of Commons: a cross-sectional survey.

The longer term outcomes of community care: a 12 year follow-up of the Camberwell High Contact Survey.

A UK perspective of case management.

Further development and psychometric validation of the discrimination and stigma scale (DISC-12)

Care for bipolar disorder in LMICs needs evidence from local settings