| Literature DB >> 35164723 |
Aloysius Chow1, Shiwei Chen1, Lucy Rosby1, Naomi Low-Beer1, Vishalkumar Girishchandra Shelat2, Jennifer Cleland1, Bernadette Bartlam1,3, Helen Elizabeth Smith4.
Abstract
BACKGROUND: Studies report that medical graduates are not prepared for practice as expected, and interventions have been developed to prepare them for practice. One such intervention is the assistantship, which provides hands-on opportunities to hone clinical skills and undertake responsibilities under supervision. The Lee Kong Chian School of Medicine (LKCMed) is Singapore's newest medical school, and students undergo a Student Assistantship Programme (SAP) to prepare for practice as junior doctors (PGY1). This study evaluated the SAP from the students' and clinical supervisors' perspectives.Entities:
Keywords: Clinical supervisors; Evaluation; Junior doctors; Preparedness; Transitions to practice; Undergraduate medical education; Workplace learning
Mesh:
Year: 2022 PMID: 35164723 PMCID: PMC8845282 DOI: 10.1186/s12909-022-03159-3
Source DB: PubMed Journal: BMC Med Educ ISSN: 1472-6920 Impact factor: 2.463
Details of Questionnaire used to evaluate impact of SAP on students
| The questionnaire asked about students’ levels of preparedness, opportunities and experience. It was used with the original authors’ permission10 with minor modification to content to better reflect local common ‘acute care situations’ in Singapore |
|---|
Comparisons of student’s scores of preparedness for clinical practice before and after SAP (N = 50)
| Levels of Preparedness in Clinical Practice | Scores before SAP | Scores on completion SAP | ||
|---|---|---|---|---|
| Take and record a patient's medical history, including family and social history? | 3.96 (.565) | 4 | 4.27* (.439) | 4 |
| Elicit patients' questions, their understanding of their condition and treatment options, and their views, concerns, values and preferences? | 3.88 (.712) | 4 | 4.18* (.572) | 4 |
| Perform a full physical examination? | 3.92 (.659) | 4 | 4.23* (.602) | 4 |
| Perform a mental-state examination? | 3.02 (.788) | 3 | 3.20 (1.130) | 4 |
| Make an initial assessment of a patient's problems and formulate a differential diagnosis? | 3.58 (.724) | 4 | 3.98* (.503) | 4 |
| Formulate a plan for investigation and interpret the results? | 3.54 (.781) | 4 | 4.00* (.475) | 4 |
| Formulate a plan for treatment, management and discharge? | 3.06 (.733) | 3 | 3.61* (.615) | 4 |
| Make clinical judgements and decisions, based on the available evidence, in conjunction with colleagues? | 3.22 (.783) | 3 | 3.82* (.513) | 4 |
| Contribute to the care of patients and their families at the end of life? | 2.84 (.903) | 3 | 3.24* (.786) | 3 |
| Communicate effectively with colleagues from a variety of professions? | 3.38 (.690) | 3 | 3.80* (.577) | 4 |
| Communicate clearly, sensitively, and effectively with patients, relatives or other carers? | 3.40 (.775) | 3 | 3.94* (.640) | 4 |
| Communicate appropriately in difficult circumstances (e.g. with difficult or violent patients, when breaking bad news, or with vulnerable patients? | 3.00 (.722) | 3 | 3.46* (.821) | 3 |
| Assess and recognise the severity of a clinical presentation and a need for immediate emergency care? | 3.58 (.778) | 4 | 3.93* (.688) | 4 |
| Diagnose and manage acute medical emergencies? | 3.52 (.831) | 4 | 3.63 (.774) | 4 |
| Provide cardio-pulmonary resuscitation or direct other team members to carry out resuscitation? | 3.68 (.787) | 4 | 3.62 (.980) | 4 |
| Plan appropriate drug therapy for common indications, including pain and distress? | 3.10 (.756) | 3 | 3.72* (.549) | 4 |
| Provide a safe and legal prescription? | 2.86 (.694) | 3 | 3.61* (.564) | 4 |
| Calculate appropriate drug doses? | 2.96 (.872) | 3 | 3.51* (.720) | 3a |
| Detect and report adverse drug reactions? | 3.34 (.682) | 3 | 3.45 (.627) | 3 |
| Keep accurate, legible and complete clinical records? | 3.38 (.719) | 3 | 4.05* (.600) | 4 |
| Carry out baseline observations: measuring body temperature, pulse rate, blood pressure, transcutaneous oxygen monitoring (saturation monitoring)? | 4.32 (.647) | 4 | 4.48 (.612) | 5 |
| Carry out practical procedures: venepuncture, taking blood cultures, measuring blood glucose? | 4.12 (.739) | 4 | 4.27 (.655) | 4 |
| Establish peripheral intravenous access (cannulation)? | 3.96 (.721) | 4 | 4.02 (.740) | 4 |
| Perform and interpret a 12-lead electrocardiograph? | 4.18 (.623) | 4 | 4.08 (.687) | 4 |
| Carry out basic respiratory function tests? | 3.16 (1.028) | 3 | 3.18 (1.054) | 3 |
| Carry out practical procedures: urine multi dipstick test, taking nose, throat and skin swabs, pregnancy test? | 3.60 (.693) | 4 | 3.66 (.788) | 3 |
| Administer oxygen? | 4.14 (.749) | 4 | 4.17 (.605) | 4 |
| Prescribe dose and route of insulin, including use of sliding scales? | 3.60 (.849) | 4 | 3.83 (.648) | 4 |
| Administer subcutaneous and intramuscular injections? | 3.92 (.797) | 4 | 4.01 (.805) | 4 |
| Carry out practical procedures: urinary catheterisation, skin suturing? | 3.90 (.782) | 4 | 4.09 (.692) | 4 |
| Wound care and basic wound dressing? | 3.60 (.775) | 4 | 3.76 (.769) | 4 |
| Infection control (e.g. hand washing, use of personal protective equipment, safe disposal of waste and sharps)? | 4.32 (.734) | 5 | 4.39 (.642) | 5 |
| Prescribe fluids for intravenous infusion and set up infusion device? | 3.38 (.719) | 3 | 3.66* (.705) | 4 |
| Prescribe, set up and monitor a blood transfusion? | 2.38 (.978) | 2 | 3.08* (.721) | 3 |
| Hand over care of a patient? | 2.96 (.721) | 3 | 3.72* (.548) | 4 |
| Know when to seek help from a senior colleague? | 3.92 (.689) | 4 | 4.07 (.541) | 4 |
| Learn and work effectively within a multi-professional team? | 3.44 (.753) | 3a | 4.09* (.513) | 4 |
amultiple modes exist, this is the lowest value
*dependent t-test was statistically significant at p < .05
The sixteen activities for which 10% or more of respondents felt unprepared pre-SAP, together with the proportion post-SAP
| Activity | Time Points | % Unprepared (No.) | 1 | 2 | 3 | 4 | 5 |
|---|---|---|---|---|---|---|---|
| Prescribe, set up and monitor a blood transfusion | Pre SAP ( | 56.0 (28) | 14% | 42% | 30% | 10% | 2% |
| Post SAP ( | 17.4 (8) | 2% | 14% | 50% | 26% | 0% | |
| Contribute to the care of patients and their families at the end of life | Pre SAP | 32.0 (16) | 2% | 30% | 44% | 20% | 2% |
| Post SAP | 15.2 (7) | 2% | 12% | 42% | 34% | 2% | |
| Calculate appropriate drug doses | Pre SAP | 30.0 (15) | 4% | 26% | 42% | 26% | 2% |
| Post SAP | 6.5 (3) | 0% | 6% | 40% | 40% | 6% | |
| Provide a safe and legal prescription | Pre SAP | 28.0 (14) | 2% | 26% | 56% | 16% | 0% |
| Post SAP | 4.3 (2) | 0% | 4% | 28% | 60% | 0% | |
| Communicate appropriately in difficult circumstances ( | Pre SAP | 24.0 (12) | 0% | 24% | 54% | 20% | 2% |
| Post SAP | 8.7 (4) | 2% | 6% | 42% | 34% | 8% | |
| Hand over care of a patient | Pre SAP | 24.0 (12) | 2% | 22% | 54% | 22% | 0% |
| Post SAP | 0.0 (0) | 0% | 0% | 30% | 58% | 40% | |
| Perform a mental-state examination | Pre SAP | 22.0 (11) | 2% | 20% | 56% | 18% | 4% |
| Post SAP | 23.9 (11) | 4% | 18% | 26% | 32% | 10% | |
| Carry out basic respiratory function tests | Pre SAP | 22.0 (11) | 2% | 20% | 38% | 30% | 8% |
| Post SAP | 17.4 (8) | 0% | 16% | 36% | 30% | 6% | |
| Make clinical judgements and decisions, based on the available evidence, in conjunction with colleagues | Pre SAP | 20.0 (10) | 0% | 20% | 40% | 38% | 2% |
| Post SAP | 0.0 (0) | 0% | 0% | 22% | 66% | 4% | |
| Formulate a plan for treatment, management and discharge | Pre SAP | 18.0 (9) | 2% | 16% | 58% | 22% | 2% |
| Post SAP | 2.2 (1) | 0% | 2% | 34% | 52% | 4% | |
| Plan appropriate drug therapy for common indications, including pain and distress | Pre SAP | 18.0 (9) | 2% | 16% | 54% | 26% | 2% |
| Post SAP | 2.2 (1) | 0% | 2% | 24% | 64% | 2% | |
| Formulate a plan for investigation and interpret the result | Pre SAP | 10.0 (5) | 2% | 8% | 28% | 58% | 4% |
| Post SAP | 0.0 (0) | 0% | 0 (0% | 10% | 72% | 10% | |
| Communicate clearly, sensitively, and effectively with patients, relatives or other carers | Pre SAP | 10.0 (5) | 0% | 10% | 48% | 34% | 8% |
| Post SAP | 0.0 (0) | 0% | 0% | 22% | 54% | 16% | |
| Detect and report adverse drug reactions | Pre SAP | 10.0 (5) | 0% | 10% | 48% | 40% | 2% |
| Post SAP | 4.3 (2) | 0% | 4% | 44% | 42% | 2% | |
| Prescribe dose and route of insulin, including use of sliding scales | Pre SAP | 10.0 (5) | 0% | 10% | 34% | 42% | 14% |
| Post SAP | 2.2 (1) | 0% | 2% | 22% | 58% | 10% | |
| Learn and work effectively within a multi-professional team | Pre SAP | 10.0 (5) | 0% | 10% | 42% | 42% | 6% |
| Post SAP | 0.0 (0) | 0% | 0% | 8% | 68% | 16% |
Footnote: The activities are ordered by degree of initial unpreparedness, from the highest to the lowest
Frequencies of responses to questions about opportunities in clinical practice
| Opportunities in Clinical Practice | Time Points | Mean score (SE)a | Mode scorea | Frequencies (%) | |||||
|---|---|---|---|---|---|---|---|---|---|
| I had the opportunity to make recommendations for the prescription of drugs | Pre SAP ( | 2.68 (.969) | 3 | 6 (12%) | 15 (30%) | 19 (38%) | 9 (18%) | 1 (2%) | |
| Post SAP ( | 4.16 (.658) | 4 | 0 (0%) | 1 (2%) | 4 (9%) | 28 (61%) | 13 (28%) | ||
| I had the opportunity to carry out common procedures on patients under supervision | Pre SAP | 3.64 (1.092) | 4 | 3 (6%) | 4 (8%) | 12 (24%) | 20 (40%) | 11 (22%) | |
| Post SAP | 4.38 (.643) | 5 | 0 (0%) | 0 (0%) | 4 (9%) | 20 (43%) | 22 (48%) | ||
| I had the opportunity to manage acutely unwell patients under supervision | Pre SAP | 2.60 (1.150) | 2 | 10 (20%) | 15 (30%) | 12 (24%) | 11 (22%) | 2 (4%) | |
| Post SAP | 3.78 (.859) | 4 | 1 (2%) | 3 (7%) | 8 (17%) | 27 (59%) | 7 (15%) | ||
abased on multiple imputation analysis
Comparisons of experience of real-life acute care situations for students pre- and post-SAP
| Questionnaire item | Time Points | Mean score (SE)a | Modal responsea | Frequencies (% of completed responses) | ||||
|---|---|---|---|---|---|---|---|---|
| In your final year, have you had experience of any of the following acute care situations in real life? | ||||||||
| Acute coronary syndrome | Pre SAP ( | 1.20 (.954) | Participant | 5% | 41% | 22% | 32% | 9 |
| Post SAP ( | 1.43 (.150) | Participant | 12% | 44% | 20% | 24% | 5 | |
| Asthma | Post SAP | 1.33 (.879) | Participant | 4% | 47% | 27% | 22% | 5 |
| Pre SAP | 1.76* (.151) | Participant | 19% | 55% | 10% | 17% | 4 | |
| Chronic obstructive pulmonary disease exacerbation | Post SAP | 1.29 (.835) | Participant | 2% | 45% | 31% | 21% | 8 |
| Pre SAP | 1.73* (.148) | Participant | 19% | 56% | 7% | 19% | 3 | |
| Diabetic ketoacidosis | Post SAP | 1.05 (.893) | Observer | 5% | 27% | 37% | 32% | 9 |
| Pre SAP | 1.47* (.151) | Participant | 12% | 51% | 9% | 28% | 3 | |
| Gastrointestinal bleed | Post SAP | 1.05 (.854) | Observer | 2% | 31% | 36% | 31% | 8 |
| Pre SAP | 1.88* (.111) | Participant | 12% | 71% | 10% | 7% | 4 | |
| Paracetamol overdose | Post SAP | .59 (.785) | Not seen | 0% | 18% | 23% | 59% | 11 |
| Pre SAP | .50 (.109) | Not seen | 0% | 16% | 14% | 70% | 9 | |
| Pulmonary embolism | Post SAP | .83 (.813) | Not seen | 0% | 25% | 33% | 43% | 10 |
| Pre SAP | 1.27* (.148) | Participant | 8% | 41% | 21% | 31% | 7 | |
| Sepsis | Post SAP | 1.26 (.902) | Participant | 2% | 49% | 21% | 28% | 7 |
| Pre SAP | 2.17* (.103) | Participant | 33% | 53% | 11% | 2% | 1 | |
| Stroke | Post SAP | 1.15 (.882) | Participant | 2% | 39% | 29% | 29% | 9 |
| Pre SAP | 1.77* (.140) | Participant | 21% | 53% | 37% | 19% | 3 | |
| Adverse drug reaction | Post SAP | .61 (.679) | Not seen | 0% | 11% | 39% | 50% | 12 |
| Pre SAP | 1.04* (.167) | Not seen | 8% | 32% | 16% | 45% | 8 | |
abased on multiple imputation analysis
*dependent t-test was statistically significant at p < .05
Comparisons of scores before and after SAP relating to readiness to be first respondent in acute care situations (n = 50)
| How ready do you feel to be the first respondent in the following acute care situations? | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| Acute coronary syndrome | Pre SAP | 3.46 (.964) | 4 | 1 (2%) | 0 (0%) | 7 (14%) | 13 (26%) | 25 (50%) | 4 (8%) |
| Post SAP | 3.65 (.782) | 4 | 0 (0%) | 0 (0%) | 5 (11%) | 10 (22%) | 27 (59%) | 4 (9%) | |
| Asthma | Pre SAP | 3.36 (.955) | 4 | 1 (0%) | 0 (0%) | 9 (18%) | 12 (24%) | 26 (52%) | 2 (4%) |
| Post SAP | 3.74* (.669) | 4 | 0 (0%) | 0 (0%) | 2 (4%) | 12 (26%) | 28 (61%) | 4 (9%) | |
| Chronic obstructive pulmonary disease exacerbation | Pre SAP | 3.26 (.977) | 4 | 1 (2%) | 0 (0%) | 10 (20%) | 16 (32%) | 20 (40%) | 3 (6%) |
| Post SAP | 3.70* (.695) | 4 | 0 (0%) | 0 (0%) | 2 (4%) | 13 (28%) | 27 (59%) | 4 (9%) | |
| Diabetic ketoacidosis | Pre SAP | 3.52 (.986) | 4 | 1 (2%) | 0 (0%) | 7 (14%) | 11 (22%) | 26 (52%) | 5 (10%) |
| Post SAP | 3.78 (.632) | 4 | 0 (0%) | 0 (0%) | 1 (2%) | 12 (26%) | 29 (63%) | 4 (9%) | |
| Gastrointestinal bleed | Pre SAP | 3.30 (.944) | 4 | 1 (2%) | 0 (0%) | 8 (16%) | 18 (36%) | 20 (40%) | 3 (6%) |
| Post SAP | 3.74* (.673) | 4 | 0 (0%) | 0 (0%) | 2 (4%) | 12 (26%) | 28 (61%) | 4 (9%) | |
| Paracetamol overdose | Pre SAP | 2.72 (.873) | 2b | 1 (2%) | 1 (2%) | 19 (38%) | 19 (38%) | 10 (20%) | 0 (0%) |
| Post SAP | 2.84 (.929) | 3 | 1 (2%) | 2 (4%) | 13 (28%) | 18 (39%) | 12 (26%) | 0 (0%) | |
| Pulmonary embolism | Pre SAP | 3.20 (1.001) | 3b | 1 (2%) | 1 (2%) | 9 (18%) | 18 (36%) | 18 (36%) | 3 (6%) |
| Post SAP | 3.36 (.787) | 4 | 0 (0%) | 0 (0%) | 8 (17%) | 15 (33%) | 22 (48%) | 1 (2%) | |
| Sepsis | Pre SAP | 3.44 (.899) | 4 | 1 (2%) | 0 (0%) | 6 (12%) | 14 (28%) | 27 (54%) | 2 (4%) |
| Post SAP | 3.83* (.634) | 4 | 0 (0%) | 0 (0%) | 1 (2%) | 10 (22%) | 30 (65%) | 5 (11%) | |
| Stroke | Pre SAP | 3.20 (.873) | 3 | 1 (2%) | 0 (0%) | 8 (16%) | 21 (42%) | 19 (38%) | 1 (2%) |
| Post SAP | 3.42 (.809) | 4 | 0 (0%) | 1 (2%) | 4 (9%) | 17 (37%) | 22 (48%) | 2 (4%) | |
| Adverse drug reaction | Pre SAP | 2.74 (.891) | 3 | 1 (2%) | 1 (2%) | 18 (36%) | 21 (42%) | 8 (16%) | 1 (2%) |
| Post SAP | 3.10* (.849) | 3 | 0 (0%) | 1 (2%) | 10 (22%) | 19 (41%) | 15 (33%) | 1 (2%) | |
abased on multiple imputation analysis
bmultiple modes exist, this is the smallest value
*dependent t-test was statistically significant at p < .05
Supervisors assessment of the preparedness for practice as a PGY1 doctor (N = 33)
| How well prepared are LKCMedicine graduates for practice as PGY1 doctors in the following areas? | Mean | Mode | 1 | 2 | 3 | 4 | 5 | 6 |
|---|---|---|---|---|---|---|---|---|
| Skills | 4.7 | 5 | 0 (0%) | 0 (0%) | 1 (3%) | 10 (30%) | 19 (58%) | 3 (9%) |
| Knowledge | 4.8 | 5 | 0 (0%) | 1 (3%) | 1 (3%) | 8 (24%) | 17 (52%) | 6 (18%) |
| Attitudes and professional behaviour | 4.9 | 5 | 0 (0%) | 0 (0%) | 1 (3%) | 8 (24%) | 17 (52%) | 7 (21%) |
| Dealing with acute care situations | 4.5 | 4 | 0 (0%) | 0 (0%) | 2 (6%) | 15 (45%) | 14 (42%) | 2 (6%) |
| Knowing when to call for help | 4.7 | 4 | 0 (0%) | 0 (0%) | 0 (0%) | 14 (42%) | 14 (42%) | 5 (15%) |