| Literature DB >> 30458844 |
Mélanie Lelubre1,2,3, Olivier Clerc4, Marielle Grosjean4, Karim Amighi3, Carine De Vriese3, Olivier Bugnon1,2, Marie-Paule Schneider5,6.
Abstract
BACKGROUND: An interprofessional medication adherence program (IMAP) for chronic patients was developed and successfully implemented in the community pharmacy of the Department of ambulatory care and community medicine (Lausanne, Switzerland). This study assesses the capacity of a physician and a nurse at the infectious diseases service of a public hospital and of community pharmacists in the Neuchâtel area (Switzerland) to implement the IMAP in their practice.Entities:
Keywords: Community pharmacy service; IMAP; Implementation; Implementation outcomes; Interprofessional collaboration; Medication adherence; Re-AIM
Mesh:
Year: 2018 PMID: 30458844 PMCID: PMC6247756 DOI: 10.1186/s12913-018-3641-5
Source DB: PubMed Journal: BMC Health Serv Res ISSN: 1472-6963 Impact factor: 2.655
Collected quantitative and qualitative outcomes
| Dimension and definition [ | Quantitative outcomes | Qualitative outcomes | Level of analysis |
|---|---|---|---|
| Reach = | • Reach rate: percentage of eligible patients who agree to participate (Inclusion/number of proposals*100)a | Hospital | |
| • Reasons for proposal | Hospital | ||
| • Reasons for refusal | Hospital | ||
| • Number of drop-outs | Pharmacies | ||
| • Characteristics of the HIV populationb | Hospital | ||
| • Barriers and facilitators to including patients | HCPs and patients | ||
| • Patients’ selection criteria | HCPs | ||
| Adoption = | • Adoption rate: pharmacists involved in the program among pharmacies of the Neuchâtel area (as a %age) | Pharmacies | |
| • Number of involved physicians/nurses in the hospital | Hospital | ||
| • Perceived motivation for and utility of the program | HCPs | ||
| Implementation = | • Fidelity: number of delivered interviews, interval (in days) in between interviews | Pharmacies | |
| • Length of time for patient follow-up (in months) | Pharmacies | ||
| • Time and cost needed to deliver the intervention | Pharmacies | ||
| • Fidelity and adaptationsd (use of electronic monitors, motivational interviewing, and reporting) | HCPs and patients | ||
| • Implementation barriers and facilitators | HCPs and patients | ||
| • Interprofessional collaboration development | HCPs | ||
| Maintenance = | • Monitoring of patient inclusion | Hospital and pharmacies | |
| • Inclusion of the IMAP into the routine activity over time | HCPs | ||
| • Satisfaction (professionals and patients) | HCPs and patients | ||
| Maintenance at the individual level = | • Adherence data | Pharmacies | |
| • VL and CD4 counts | Hospital |
Notes: HCPs = Healthcare professionals = the physician, the nurse, and the five pharmacists included in the project
aEligible patients were determined by the physician and the nurse and therefore considered as the number of proposals in this project
bGender, age, ethnicity, education degree, source of HIV infection, antiretrovirals (ART) description at inclusion, ART line, VL, and CD4 count at inclusion
cIn addition, implementation research has been expanded to include factors influencing the implementation process
dInformation about fidelity and adaptations was collected by the research team through focus groups with HCPs and individual interviews with patients
Characteristics of the HIV population of the “Hôpital neuchâtelois-Pourtalès” between November 2014 and December 2016 (based on the patients’ medical records for included patients and the data of the Swiss HIV Cohort Study, SHCS, for patients who refused or were not proposed participation)
| Inclusion | Refusal | Not proposed | |
|---|---|---|---|
| Number of patients | 17 | 13 | 25 |
| Gender (n, %) | |||
| Male | 10 (58.8%) | 5 (38.5%) | 15 (60.0%) |
| Female | 6 (35.3%) | 5 (38.5%) | 10 (40.0%) |
| Transsexual | 1 (5.9%) | 0 | 0 |
| Missing data | 0 | 3 (23.1%) | 0 |
| Age (year) (median, IQR) | 36 (31–42) | 52 (39–56) | 49 (41–54) |
| Ethnicity | |||
| White | 12 (70.6%) | 9 (69.2%) | 16 (64.0%) |
| Black | 3 (17.6%) | 1 (7.7%) | 5 (20.0%) |
| Other ethnicity | 2 (11.8%) | 0 | 4 (16.0%) |
| Missing data | 0 | 3 (23.1%) | 0 |
| Highest attained educational degree (n, %) | |||
| Basica | 1 (5.9%) | 1 (7.7%) | 5 (20.0%) |
| Medium/highb | 12 (70.6%) | 9 (69.2%) | 20 (80.0%) |
| Unknown/Missing data | 4 (23.5%) | 3 (23.1%) | 0 |
| Most likely source of HIV infection | |||
| Sexual contact | 13 (76.4%) | 8 (61.5%) | 22 (88.0%) |
| I.V. drug use/sexual contact (unclear which one) | 2 (11.8%) | 1 (7.7%) | 3 (12.0%) |
| Other sources | 2 (11.8%) | 1 (7.7%) | 0 |
| Missing data | 0 | 3 (23.1%) | 0 |
| ART description at inclusionc | |||
| NRTI + NNRTI | 7 (41.2%) | 9 (69.2%) | 15 (60.0%) |
| NRTI + INSTI | 6 (35.3%) | 0 | 2 (8.0%) |
| Other | 3 (17.6%) | 1 (7.7%) | 5 (20.0%) |
| No treatment | 0 | 0 | 3 (12.0%) |
| Missing data | 1 (5.9%) | 3 (23.1%) | 0 |
| Switch of treatment during the study (n, %) | 7 (41.2%) | 4 (30.8%) | 6 (24.0%) |
| Treatment stop | 0 | 1 (7.7%) | 1 (4.0%) |
| Missing data | 0 | 3 (23.1%) | 0 |
| ART line | |||
| Naive patientsd | 9 (53.0%) | 0 | 0 |
| Experienced patients | 8 (47.0%) | 10 (76.9%) | 24 (96.0%) |
| Missing data | 0 | 3 (23.1%) | 1 (4.0%) |
| VL at inclusion | |||
| Patients with < 50 copies/mL (n, %) | 7 (41.2%) | 10 (76.9%) | 24 (96.0%) |
| Patients with ≥50 copies/mL (n, %) | 10 (58.8%) | 0 | 1 (4.0%) |
| Missing data (n, %) | 0 | 3 (23.1%) | 0 |
| CD4 at inclusion (median, IQR) | |||
| CD4 count (cell/mm3) | 583 (434–687) | 753 (659.5–931.5) | 648 (406.5–908.5) |
| Reasons for proposal (n, %)e | – | ||
| Difficult psychosocial context | 5 | 10 | |
| Introduction of a new ART | 8 | 1 | |
| Difficulties described by the patient | 2 | 1 | |
| Suspected non-adherence by health professionals | 3 | 0 | |
| Other | 1 | 1 | |
| Reasons for patient refusal (n, %)e | – | – | |
| Refused to change pharmacy | 11 | ||
| Doesn’t feel the need for such support | 2 | ||
| Fears about confidentiality | 2 | ||
Notes:
a Did not complete school or professional education, mandatory school
b Finished apprenticeship, bachelor’s degree, higher professional education, higher technical or commercial school, university or other equivalent educational degree
c NRTI = nucleoside reverse-transcriptase inhibitors, NNRTI = non-nucleoside reverse-transcriptase inhibitors, INSTI = integrase inhibitors
d First ART started < 1 month ago
e More than one reason was possible
Fig. 1Respective roles of each healthcare professional in the IMAP. Note: ARVs = antiretrovirals
Fig. 2Patient inclusion monitoring during the two-year follow-up
Patient CD4 cells counts at inclusion and at the end of the study period
| CD4 countsa (cell/mm3) (median, IQR) [95% CI] | ||
|---|---|---|
| At inclusion | At the end of the study period | |
| Included patients ( | ||
| Naïve patients ( | 280 (272–374) [272–374] | 524 (516–910) [516–910] |
| Experienced patients ( | 654 (535–1167) [452–1170] | 828 (751–882) [473–1043] |
| Patients who refused the program ( | ||
| Experienced patients | 743 (682–970) [642–1011] | 836 (712–1031) [639–1232] |
| Patients who were not invited to join the program ( | ||
| Experienced patients | 697 (496–910) [496–910] | 685.5 (502–851) [502–851] |
Notes: This table refers to the available CD4 data in the SHCS and therefore does not represent all the hospital’s patients; a Paired data