| Literature DB >> 35847762 |
Arika Hara1, Yurie Kobashi1, Maki Hanaoka1, Varanate Nuengsigkapian2, Yuzo Shimazu3, Masaharu Tsubokura4, Hirotoshi Yamamoto1.
Abstract
Objectives: This study surveyed Japanese anesthesiologists' knowledge of the cost of medicine and their attitudes toward cost containment to determine how these factors may affect their choice of medication and provide insight into reducing healthcare expenditures. Materials andEntities:
Keywords: anesthesia; health expenditure; workforce
Year: 2022 PMID: 35847762 PMCID: PMC9263956 DOI: 10.2185/jrm.2021-056
Source DB: PubMed Journal: J Rural Med ISSN: 1880-487X
Participant characteristics
| N=60 | ||
|---|---|---|
| Age (years, median, [interquartile range]) | 38 [34–46] | |
| Sex (n, %) | ||
| Male | 33 (55.00) | |
| Years of experience (median, [interquartile range]) | 10 [5–23] | |
| License (n, (%)) | ||
| Basic license | 22 (36.67) | |
| Specialty license | 33 (55.00) | |
| Heart anesthesia specialty license | 4 (6.67) | |
| Other specialty license | 1 (1.67) | |
| Work days (median, [interquartile range]) | 5 [4–5] | |
| Employment status (n, (%)) | ||
| Full-time | 48 (80.00) | |
| Part-time | 12 (20.00) | |
| Hospital location (n, (%)) | ||
| Tokyo | 45 (75.00) | |
| Fukushima | 13 (21.67) | |
| Saitama | 2 (3.33) | |
| Hospital type | ||
| University | 15 (25.00) | |
| Other | 45 (75.00) | |
| Total flow of oxygen and air(median, [interquartile range]) | 3 [2.25–4] | |
Proportion of participants with price estimates within 25% of the actual price (n (%))
| Total | Gender | License | |||
|---|---|---|---|---|---|
| Male | Female | Basic | Specialty | ||
| Neuromuscular blocking agents | 4 (6.67) | 1 (1.67) | 3 (5.00) | 2 (3.33) | 2 (3.33) |
| Inhaled anesthetics | 18 (30.00) | 14 (23.33) | 4 (6.67)** | 6 (10.00) | 12 (20.00) |
| Intravenous anesthetics | 11 (18.33) | 4 (6.67) | 7 (11.67) | 1 (1.67) | 10 (16.67)** |
| Opioids | 18 (30.00) | 11 (18.33) | 7 (11.67) | 5 (8.33) | 13 (21.67) |
| Neuromuscular blockade reversal agents | 38 (63.33) | 23 (38.33) | 15 (25.00) | 14 (23.33) | 24 (40.00) |
**P value <0.05 on the χ2 test.
Attitude toward medicine cost
| Median, [interquartile range] | ||
|---|---|---|
| Items | ||
| Medicine cost influences my decision when ordering medicine. | 6 [3–7] | |
| I have adequate knowledge of the costs. | 3 [2–5] | |
| I have been educated in the costs. | 2 [1–3] | |
| I have adequate access to information about the costs. | 8 [5–8] | |
| Better knowledge of the costs would affect my ordering practices. | 7 [5–8] | |
| Total | 25 [20–30.5] | |
| By sex** | ||
| Male | 26 [22–34] | |
| Female | 24 [15–26] | |
| By license** | ||
| Basic license | 22.5 [17–26] | |
| Specialty license | 26 [22–33] | |
**P value <0.05 on the Mann–Whitney U test.
Barriers to cost containment
| Median, [interquartile range] | ||
|---|---|---|
| Items | ||
| Society’s unwillingness to acknowledge the limits of health care resources | 9 [7–10] | |
| Patients’ failure to carry their fair share of the cost of health care interventions | 8 [5–9.5] | |
| Physicians’ unawareness of the cost of medical interventions | 8 [7–9] | |
| Coverage decisions considering only short-term benefits for patients | 7 [5–8] | |
| Patients’ unrealistic expectations of what medicines can do | 7 [5–8] | |
| Physicians’ unwillingness to refuse patients’ demands for unnecessary interventions | 7 [5–8] | |
| Physicians’ need to practice defensively to protect themselves against lawsuits | 7 [5–8] | |
| Inadequate information on the cost-effectiveness of medical interventions | 5 [4–7] | |
| Doctors’ need to explain medicines and treatments to patients directly | 4 [3–6] | |
| Total | 60 [51–67] | |
| By gender | ||
| Male | 56 [48–65.5] | |
| Female | 62 [59–68] | |
| By license | ||
| Basic license | 63 [50–67] | |
| Specialty license | 59 [51–66] | |
Multiple regression analysis for the score of correct medicine price
| Univariate analysis | Multivariate analysis (N=60) | ||
|---|---|---|---|
| Age | 0.00 (−0.02 to 0.02) | −0.02 (−0.05 to 0.01) | |
| Gender | |||
| Male | Reference | Reference | |
| Female | −0.27 (−0.76 to 0.22) | −0.23 (−0.78 to 0.32) | |
| Years of experience | 0.00 (−0.02 to 0.02) | ||
| Work days | −0.02 (−0.31 to 0.27) | ||
| License | |||
| Basic | Reference | Reference | |
| Specialty | 0.33 (−0.17 to 0.84) | 0.49 (−0.16 to 1.15) | |
| University | |||
| No | Reference | ||
| Yes | 0.16 (−0.41 to 0.72) | ||
| Attitude score | 0.03 (0.00 to 0.06) ** | 0.03 (−0.01 to 0.06) | |
**P value <0.05. CI: confidence interval.
Multiple regression analysis of the attitude score
| Univariate analysis | Multivariate analysis (N=60) | ||
|---|---|---|---|
| Age | 0.23 (0.06 to 0.39)** | 0.06 (−0.16 to 0.28) | |
| Gender | |||
| Male | Reference | Reference | |
| Female | −5.82 (−9.46 to −2.19)** | −4.26 (−8.20 to −0.31)** | |
| Years of experience | 0.21 (0.05 to 0.38)** | ||
| Work days | 2.20 (−0.06 to 4.47)* | 1.44 (−0.72 to 3.61) | |
| License | |||
| Basic | Reference | Reference | |
| Specialty | 4.90 (1.04 to 8.77)** | 3.20 (−1.55 to 7.95) | |
| University | |||
| No | Reference | ||
| Yes | −1.38 (−5.89 to 3.14) | ||
| Medicine price score | 2.02 (0.00 to 4.04)** | ||
*P value <0.1, **P value <0.05. CI: confidence interval.