| Literature DB >> 23257776 |
Sara N Bleich1, Wendy L Bennett, Kimberly A Gudzune, Lisa A Cooper.
Abstract
OBJECTIVE: To describe physician perspectives on the causes of and solutions to obesity care and identify differences in these perspectives by number of years since completion of medical school.Entities:
Year: 2012 PMID: 23257776 PMCID: PMC3533040 DOI: 10.1136/bmjopen-2012-001871
Source DB: PubMed Journal: BMJ Open ISSN: 2044-6055 Impact factor: 2.692
Characteristics of the study sample (N=500)
| N (%) | |
|---|---|
| Physician characteristics | |
| Gender | |
| Male | 335 (67) |
| Race | |
| White | 350 (70) |
| Black | 15 (3) |
| Asian | 77 (15) |
| Hispanic | 25 (5) |
| Other race | 6 (1) |
| Age, years | |
| Under 45 | 224 (45) |
| Aged 45–54 | 124 (25) |
| Aged 55 and older | 152 (30) |
| Year since completed medical school | |
| 20 years or more (1990 or earlier) | 222 (44) |
| 15 to<20 years (1991–1995) | 58 (12) |
| 10 years to<15 (1996–2000) | 162 (32) |
| <=10 (2001–2011) | 57 (11) |
| Physician-reported demographics of their patients | |
| Patients in practice who are obese | |
| Almost all | 48 (10) |
| About half | 422 (84) |
| Not many | 20 (4) |
| Race of obese patients in practice | |
| Most are White | 174 (35) |
| Most are minority | 41 (8) |
| Broad range of demographic groups | 284 (57) |
| Income of obese patients in practice | |
| Most are low income | 142 (28) |
| Most are not low income | 92 (18) |
| Evenly split | 266 (53) |
| Physician-reported practice characteristics | |
| Primary location where patients are seen* | |
| Hospital or inpatient setting | 49 (10) |
| Office not attached to a hospital or outpatient | 313 (63) |
| Both inpatient and outpatient | 136 (27) |
| Patient chart | |
| Includes height | 467 (93) |
| Includes body weight | 499 (99) |
| Includes body mass index | 378 (76) |
| Location of practice | |
| Northeast | 104 (21) |
| North central | 114 (23) |
| South | 166 (33) |
| West | 116 (23) |
| Physician obesity-related training rated as very or pretty good | |
| Medical school | 115 (23) |
| Residency | 173 (35) |
| Continuing medical education | 298 (60) |
| Other training† | 313 (63) |
Source: Survey of General Practitioners, Family Practitioners and General Internists between 9 February and 1 March 2011.
*One respondent reported the primary location where patients are seen is ‘another location’.
†Other training includes inperson or online training such as a lecture, seminar, workshop or conference.
Note: Numbers may not add up to 100% because of rounding.
Primary care physician perception of the importance of possible causes of obesity, overall and by years since completing medical school, N (%)
| Overall | Years since completing medical school | p Value | ||
|---|---|---|---|---|
| N=500 | <20 N=277 | 20+N=223 | ||
| Individual biological factors | ||||
| Genetics or family history | 372 (75) | 205 (74) | 168 (75) | 0.77 |
| Metabolic effect | 234 (47) | 135 (49) | 99 (44) | 0.43 |
| Endocrine disorder | 140 (28) | 84 (30) | 56 (25) | 0.30 |
| Individual behavioural factors | ||||
| Insufficient physical activity | 496 (99) | 274 (98) | 223 (100) | 0.05 |
| Overconsumption of food | 496 (99) | 276 (99) | 221 (99) | 0.86 |
| Restaurant or fast food eating | 474 (95) | 274 (99) | 200 (90) | <0.01 |
| Consumption of sugar-sweetened beverages | 470 (94) | 264 (95) | 206 (93) | 0.36 |
| Lack of will power | 441 (89) | 250 (90) | 197 (88) | 0.60 |
| Physical/social environmental factors | ||||
| Cultural factors | 422 (85) | 239 (86) | 184 (83) | 0.43 |
| Lack of information on good eating habits | 375 (75) | 222 (80) | 154 (69) | 0.03 |
| Lack of access to healthy food | 294 (59) | 178 (64) | 116 (52) | 0.03 |
Source: Survey of General Practitioners, Family Practitioners and General Internists between 9 February and 1 March 2011.
Notes: p Values are for t tests for differences in proportions. Percentages reflect respondents rating potential causes as very or somewhat important. The mean year medical school was completed is 1993.
Physician perspectives on health professional most qualified to help obese patients lose or maintain weight, by years since completing medical school N (%)
| Percentage of citing most qualified | Overall | Years since completing medical school | p Value | |
|---|---|---|---|---|
| N=500 | <20 N=277 | 20+N=223 | ||
| Nutritionist/dietitican | 223 (45) | 166 (48) | 67 (41) | 0.21 |
| Primary care Physician | 199 (39) | 135 (41) | 64 (37) | 0.40 |
| Behavioural Psychologist | 57 (14) | 30 (9) | 27 (20) | 0.01 |
| Endocrinologist | 6 (1.0) | 3 (0.7) | 3 (1.5) | 0.45 |
| Nurse | 3 (0.5) | 2 (0.7) | 1 (0.5) | 0.81 |
Source: Survey of General Practitioners, Family Practitioners and General Internists between 9 February and 1 March 2011.
Notes: p Values are for t tests for differences in proportions. The mean year medical school was completed is 1993.
Primary care physician's perspectives on solutions for improving obesity care, overall and by years since completing medical school, N (%)
| Years since completing medical school | |||||
|---|---|---|---|---|---|
| Overall N=313 | <20 N=161 | 20+N=152 | p Value | ||
| Physician training to improve obesity care | |||||
| Helpfulness of physician training in…* | |||||
| Nutrition counselling | 290 (93) | 156 (97) | 134 (88) | 0.04 | |
| Exercise counseling | 290 (92) | 154 (96) | 135 (89) | 0.09 | |
| Patient care after bariatric surgery | 282 (90) | 144 (89) | 137 (90) | 0.81 | |
| Motivational interviewing | 270 (86) | 143 (88) | 127 (84) | 0.37 | |
| Patient eligibility for bariatric surgery | 266 (85) | 136 (84) | 130 (85) | 0.88 | |
| Weight loss medications | 202 (64) | 110 (68) | 92 (60) | 0.24 | |
| N=500 | N=277 | N=223 | |||
| Practice-based changes to improve obesity care | |||||
| Helpfulness of… | |||||
| Including BMI as a fifth vital sign | 466 (93) | 256 (92) | 210 (95) | 0.32 | |
| Including specific diet or exercise tips in patient chart | 446 (89) | 250 (90) | 196 (88) | 0.53 | |
| Having scales report BMI | 423 (85) | 224 (81) | 198 (89) | 0.02 | |
| Adding BMI to patient chart† | 344 (69) | 193 (69) | 151 (68) | 0.70 | |
| Medical equipment in office is appropriate for obese patients (eg, gowns, chairs, exam tables and blood pressure cuffs)‡ | 460 (92) | 253 (91) | 207 (93) | 0.53 | |
Source: Survey of General Practitioners, Family Practitioners and General Internists between 9 February and 1 March 2011.
*Questions about the helpfulness of various forms of obesity training were only asked among those physicians who reported receiving some training. Percentages represent physicians reporting training is very or somewhat helpful.
†20% of the sample (100 respondents) reported that this feature is already available in the medical chart.
‡Percentages represent physicians reporting very/somewhat appropriate.
Note: The 8% of physicians who said that medical equipment for obese patients was not appropriate were also asked to rate how important it was to improve the equipment. More than 85% of these physicians said this was an important goal for gowns, chairs, exam tables and blood pressure cuffs.
BMI, body mass index.
Physician reported competence in treating obese patients, overall and by years since completing medical school, N (%)
| Years since completing medical school | p Value | |||
|---|---|---|---|---|
| Overall N=500 | <20 N=277 | 20+N=223 | ||
| Competent giving exercise-related counselling to obese patients | 462 (92) | 258 (93) | 204 (92) | 0.68 |
| Competent giving diet-related counselling to obese patients | 450 (90) | 252 (91) | 198 (89) | 0.54 |
| Usually successful in helping obese patients lose weight | 218 (44) | 137 (49) | 81 (36) | 0.02 |
| Primary care physicians are the ‘most qualified’ professional to help obese patients | 196 (39) | 115 (41) | 82 (37) | 0.40 |
Source: Survey of General Practitioners, Family Practitioners and General Internists between 9 February and 1 March 2011.
Notes: p Values are for t tests for differences in proportions. The mean year medical school was completed is 1993.