자연주의적 탐구조사(Naturalistic Inquiry)

Basics of qualitative research: Grounded theory procedures and techniques

Lincoln, Yvonna, and Egon Guba, "Postpositivism and the Naturalist Paradigm," pp. 14-46 in Yvonna Lincoln and Egon Guba, Naturalistic Inquiry . Beverly Hills, CA: Sage, 1985.*

This report updates the 2002 recommendations by the Advisory Committee on Immunization Practices (ACIP) on the use of influenza vaccine and antiviral agents (CDC. Prevention and Control of Influenza: Recommendations of the Advisory Committee on Immunization Practices [ACIP]. MMWR 2002;51 [No. RR-3]:1-31). The 2003 recommendations include new or updated information regarding 1) the timing of influenza vaccination by age and risk group; 2) influenza vaccine for children aged 6-23 months; 3) the 2003-2004 trivalent inactivated vaccine virus strains: A/Moscow/10/99 (H3N2)-like, A/New Caledonia/20/99 (H1N1)-like, and B/Hong Kong/330/2001-like antigens (for the A/Moscow/10/99 [H3N2]-like antigen, manufacturers will use the antigenically equivalent A/Panama/2007/99 [H3N2] virus, and for the B/Hong Kong/330/2001-like antigen, manufacturers will use either B/Hong Kong/330/2001 or the antigenically equivalent B/Hong Kong/1434/2002); 4) availability of certain influenza vaccine doses with reduced thimerosal content, including single 0.25 mL-dose syringes; and 5) manufacturers of influenza vaccine for the U.S. market. Although the optimal time to vaccinate against influenza is October and November, vaccination in December and later continues to be strongly recommended A link to this report and other information regarding influenza can be accessed at http://www.cdc.gov/ncidod/diseases/flu/fluvirus.htm.

https://stacks.cdc.gov/view/cdc/6625/cdc_6625_DS1.pdf

Prevention and control of influenza : recommendations of the Advisory Committee on Immunization Practices (ACIP)

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

Background GPs are crucial in adequately diagnosing and initiating appropriate management for patients with psychological problems, but face many challenges and require support. Aim To determine the effects of the e-tool PsyScan. Design and setting A randomised controlled trial with a 1-year follow-up, comparing care using PsyScan with usual care for psychological problems, was undertaken in 10 multidisciplinary primary healthcare centres in Eindhoven, the Netherlands. Method Between consultations with their GP, participants in the intervention group could complete PsyScan. The e-tool consists of a distress screener and Four-Dimensional Symptom Questionnaire to differentiate between stress, depression, anxiety, and somatisation symptoms, and to explore symptom severity. PsyScan generated diagnostic and therapeutic advice for GPs and participants that was automatically transferred to each patient’s electronic medical record. The primary outcome was the proportion of participants that achieved a successful treatment result; namely, a decrease of ≥50% on the Symptom Checklist-90-Revised, after 1 year. Results There were 176 participants in the intervention group and 160 in the control group. After multiple imputation, the participants in the intervention group had higher chances of achieving a successful treatment result compared with those in the control group (odds ratio [OR] 2.7, 95% confidence interval [CI] = 1.5 to 4.8, P = 0.002). Quality of life was higher in the intervention group at 12 months (mean difference in EuroQol 5 Dimensions 5 Levels index values was 0.076, 95% CI = 0.015 to 0.136, P = 0.01). The mean 1-year costs per participant were similar (€13 622 in intervention group, €12 487 in control group [β = −0.03, P = 0.71, R 2 = 0.05]). Conclusion PsyScan generated clinically relevant and statistically significant effects, and could be useful in offering effective individualised care to patients.

PsyScan e-tool to support diagnosis and management of psychological problems in general practice: a randomised controlled trial.

OBJECTIVE Design and implementation of a preventative screening programme for cardiometabolic risk assessment in a medium-sized general practice. Description of the response rate and number of detected diseases to be treated. DESIGN Questionnaire and observational research. METHOD All registered patients aged 40 to 75 years without prior cardiometabolic disease (cardiovascular diseases, diabetes and renal disorders) (n=1704) received a written invitation to participate in a preventative screening programme. During a maximum of 3 sequential screening steps the risk for cardiometabolic disease for each participant was determined. Based on their outcome, participants were offered treatment when necessary. The number of patients who completed each of the steps as well as the number of detected disorders were registered. RESULTS In total 1270 patients (75%) returned an initial screening questionnaire. Based on the information provided in this questionnaire 952 patients were invited for an additional examination at the general practice. In 145 participants (11% of 1270) at least one condition was diagnosed that needed either treatment or follow-up according to the prevailing Dutch practice guidelines, such as elevated risk for cardiovascular diseases, isolated systolic hypertension, diabetes mellitus, suspected familiar hypercholesterolaemia or renal disorders. CONCLUSION The response-rate as well as the number of newly diagnosed cases demonstrate that it is quite feasible to screen for cardiometabolic disorders in a primary healthcare centre. Follow-up studies are needed to assess the long-term health effects and efficiency of the preventative screening programme.

Cardiometabolic risk factors detected with a preventative screening programme

Background
The education and activation program (EAP) is a newly developed intervention to prevent the development of chronic shoulder complaints (SCs). Trained general practitioners (GPs) administer the EAP. The EAP addresses inadequate cognitions and maladaptive behavior related to the SCs. The effect of the EAP is evaluated in a randomized clinical trial.

The aim of the present study is to use videotaped consultations to study (1) the performance of trained GPs administering the EAP and (2) the presence of key features of the EAP already embedded in usual care (UC).

/pdf/general-practitioners-apply-the-usual-care-for-shoulder-smch91y8wd.pdf

General practitioners apply the usual care for shoulder complaints better than expected – analysis of videotaped consultations

The etiology and risk factors of anemia are multifactorial and varies across context. Due to the geospatial clustering of anemia, identifying risk factors for anemia should account for the geographic variability. Failure to adjust for spatial dependence whilst identifying risk factors of anemia could give spurious association. We aimed to identify risk factors of anemia using a Bayesian geo-statistical model.We analyzed the Ethiopian Demographic and Health Survey (EDHS) 2016 data. The sample was selected using a stratified, two- stage cluster sampling design. In this survey, 9268 children had undergone anemia testing. Hemoglobin level was measured using a HemoCue photometer and the results were recorded onsite. Based on the World Health Organization's cut-off points, a child was considered anaemic if their altitude adjusted haemoglobin (Hb) level was less than 11 g/dL. Risk factors for anemia were identified using a Bayesian geo-statistical model, which accounted for spatial dependency structure in the data. Posterior means and 95% credible interval (BCI) were used to report our findings. We used a statistically significant level at 0.05.The 9267 children in our study were between 6 and 59 months old. Fifty two percent (52%) of children were males. Thirteen percent (13%) of children were from the highest wealth quintile whereas 23% from the lowest wealth quintile. Most of them lived in rural areas (90%). The overall prevalence of anemia among preschool children was 57% (95% CI: 54.4-59.4). We found that child stunting (OR = 1.26, 95% BCI (1.14-1.39), wasting (OR = 1.35, 95% BCI (1.15-1.57), maternal anemia (OR = 1.61, 95% BCI (1.44-1.79), mothers having two under five children (OR = 1.2, 95% BCI (1.08-1.33) were risk factors associated with anemia among preschool children. Children from wealthy households had lower risk of anemia (AOR = 0.73, 95% BCI (0.62-0.85).Using the Bayesian geospatial statistical modeling, we were able to account for spatial dependent structure in the data, which minimize spurious association. Childhood Malnutrition, maternal anemia, increased fertility, and poor wealth status were risk factors of anemia among preschool children in Ethiopia. The existing anaemia control programs such as IFA supplementation during pregnancy should be strengthened to halt intergenerational effect of anaemia. Furthermore, routine childhood anaemia screening and intervention program should be part of the Primary health care in Ethiopia. 

/pdf/risk-factors-of-anemia-among-preschool-children-in-ethiopia-3vmgwcs4.pdf

Risk factors of anemia among preschool children in Ethiopia: a Bayesian geo-statistical model

Background: Family medicine (FM) was introduced in Kenya in 2005. Up to date (August 2019), 42 family physicians have graduated from Kenyan Universities. Aim: The aim of the study was to establish the current state of FM in Kenya and identify areas for more research and actions to support and improve FM in Kenya. Setting: Interviews were conducted at the different work sites of the participants, four of them in hospitals, one at a University and one in a hotel where a FM conference was held. Methods: An online questionnaire (response rate = 56%) and six semi-structured interviews were conducted amongst family physicians who completed their studies in Kenya. However, the focus was on the interviews. Results: Family physicians have different ideas of how FM should look like ideally, but all agree that family physicians should be team leaders of a primary healthcare team, taking care of a defined population. Lack of policies, low numbers of family physicians and the misunderstanding of FM by all stakeholders are the major challenges. Sixty-four percent of the participants work in rural areas, and 77% perceive their current work as FM. Conclusion: Family medicine must be defined and properly promoted. Various areas have been identified that require further research: assessing required number of family physicians, reasons and solutions for the low number of family physicians, funding possibilities, and research the most suitable definition of a Kenyan family physician.

/pdf/current-status-of-family-medicine-in-kenya-family-physicians-4sled0xjrj.pdf

Geert-Jan Dinant

Papers

PsyScan e-tool to support diagnosis and management of psychological problems in general practice: a randomised controlled trial.

Cardiometabolic risk factors detected with a preventative screening programme

General practitioners apply the usual care for shoulder complaints better than expected – analysis of videotaped consultations

Risk factors of anemia among preschool children in Ethiopia: a Bayesian geo-statistical model

Current status of family medicine in Kenya; family physicians’ perception of their role