Literature DB >> 32921990

Effectiveness of a Patient-Centered Weight Management Model in a Community Pharmacy: An Interventional Study.

Jesús Gómez-Martinez1, Elsa López-Pintor2, Blanca Lumbreras3.   

Abstract

PURPOSE: The aim of this study was to evaluate the provision of a professional pharmaceutical patient-centered model in a weight management program and optimization of the medication in a Spanish community pharmacy. PATIENTS AND METHODS: This was a single-group intervention study with a mean follow-up period of 8.2 months (sd 2.3). Patients ≥18 years old seeking to lose weight or improve eating habits were recruited. On the first visit, the pharmacist collected patients' sociodemographic and anthropometric variables, dietary history and lifestyle habits, biochemical measurements and other clinical and therapeutic data. The intervention was based on the Spanish Society of Community Pharmacy recommendations for diet and exercise and for pharmacotherapy management. The follow-up included a two-month visit and a final visit.
RESULTS: A total of 330 patients were included (80% women; mean age 51.3 years old (sd 15.3)). A statistically significant reduction in anthropometric measurements (weight, BMI, and waist circumference) and a statistically significant increase in the number of patients with normal cholesterol and LDL-cholesterol (p<0.001) were observed at two-month visit compared with first visit (p<0.001). The number of patients with normal triglyceride levels at final visit compared with first visit also increased significantly (p=0.04). A total of 186 (56.4%) patients had drug-related problems at first visit and 31 (9.4%) patients at two-month visit.
CONCLUSION: The implementation of a patient-centered weight management model had a positive impact on the improvement of anthropometric, clinical and therapeutic parameters.
© 2020 Gómez-Martinez et al.

Entities:  

Keywords:  community pharmacy services; drug-related problem; medication review; patient-centered program; weight management

Year:  2020        PMID: 32921990      PMCID: PMC7457851          DOI: 10.2147/PPA.S260404

Source DB:  PubMed          Journal:  Patient Prefer Adherence        ISSN: 1177-889X            Impact factor:   2.711


Introduction

The role of the pharmacist has traditionally centered on the provision of pharmacotherapeutic counselling, the evaluation of treatments and the prevention of adverse effects.1,2 However, given increasing demands on primary and emergency services and an aging population together with the higher prevalence of chronic diseases, the pharmacist’s position has had to change towards a patient-centered model. Community pharmacists are particularly well positioned to provide these “pharmaceutical services”3,4 which include both the management of medicines and clinical attention. As a result, community pharmacists have developed new care models to offer a wide range of clinical services that include chronic disease management, disease prevention, transition-of-care coordination, and other pertinent disease-monitoring and management interventions.5 In addition, given the financial and negative health consequences of inappropriate medication therapy,6 the role of pharmacists in optimizing medication use should be central to this new patient-centered model.7 Pharmacists are, therefore, becoming involved in different primary care-delivery models such as patient-centered medical homes8 in which each patient (or group of patients) is assigned to an interdisciplinary team and their care is coordinated across the different health care services. Pharmacists are also collaborating in interprofessional health care teams by contributing to a safe, effective and optimal medication use9 or by providing consultation services.10 They also lead patient care interventions focused on impactful outcomes (known as pharmacist-led intervention).11 Several studies have shown positive effects of pharmacist-led interventions in patients with chronic diseases.12 A previous systematic review evaluated the effect of pharmacist-led interventions in diabetes (types 1 and 2).13 Of the seven reviewed papers, six showed positive results which included interventions such as patient education, medication management and lifestyle changes. Other pharmacist-led interventions have been implemented in the management of gastroesophageal reflux disease to help patients to verify their diagnosis, referring them to a doctor when necessary and recommending treatment including medication, diet, and lifestyle advice.14 Another review showed how community pharmacist-led interventions could improve patients’ adherence to medications and hence, contribute to improving blood pressure control, cholesterol management and asthma control. The most effective interventions were a combination of patient education, simplification of treatment regimens, communication between patients and their health care professionals, patient follow-up and monitoring.15 In this study, we want to evaluate the effect of a pharmacist-led intervention in the management of obesity and overweight. In this model, the role of the pharmacist was to provide education, counselling and advice on medication management to patients and patient education on healthy lifestyle promotion (including diet and physical activity). Obesity has reached pandemic levels with more than 1.4 billion adults affected worldwide and its prevalence is increasing.16 A recent scoping review of research articles17 showed that community pharmacists have an important role in the prevention and management of overweight and obesity. A pilot study in Australia developed and evaluated a pharmacist-delivered, non-product-centered weight management service for community pharmacies. The main outcomes were changes in weight, BMI and waist circumference at three months. The intervention was based on diet, physical activity and changes in behavior, and patients showed a significant mean change in all the parameters evaluated.18 A retrospective analysis of data collected by pharmacies as part of a weight management program was carried out in the UK. Pharmacists included patients with a BMI of 30 kg/m2 or more and at least one risk factor for coronary heart disease, and motivated them to change their behavior. This study also showed reductions in weight and waist circumference.19 Nevertheless, community pharmacist services in weight management have until now focused only on weight loss and/or cardiovascular risk improvement but they did not take patients’ concomitant health problems and medication management into consideration. Although in Spain several interventions to reduce overweight have been implemented in the community pharmacies, there are no formal evaluations of their effects on patients’ health. However, several interventions in weight management have been evaluated in the primary care setting. PREDIMED-Plus, for example, is a randomized controlled trial designed to analyze the effect of an intensive lifestyle intervention on cardiovascular risk factors associated with overweight and obesity, morbidity and mortality. The intervention, based on an energy-restricted Mediterranean diet, physical activity promotion and behavioral support, has shown significant results.20 Another randomized clinical trial evaluated whether a motivational intervention, together with current clinical practice, was more efficient than a traditional one in the treatment of overweight and obesity. Patients in the interventional group showed statistically significant weight reduction and improvements in biochemical markers.21 In light of this, the evaluation of an intervention in weight management together with an optimization of the medication in community pharmacies needed to be developed. The results of such a study will demonstrate the role of the community pharmacy as a valuable actor in chronic disease control within the health system. The aim of this study was to evaluate the provision of a professional pharmaceutical patient-centered model in a weight management program and optimization of the medication in a Spanish community pharmacy.

Patients and Methods

Design and Setting

To evaluate the provision of pharmaceutical services in a weight management program, we carried out a pilot test single-group intervention study in a community pharmacy, in Barcelona, Spain (2015–2018). Spain has a universal social security system, available to all citizens. However, community pharmacies are privately owned. There are geographic and population standards for the establishment of new pharmacies, resulting in an average of 1 pharmacy per 2000 residents.

Patient Selection

The recruitment started in January 2015 until the required sample size was achieved (last patient entered 13th November 2017). According to previous studies,19 a community pharmacy weight reduction program achieved a weight difference of −3.07 kg after three months and - 4.59 kg after 6 months. Taking these values into account, with a power of 80% and a confidence level of 95%, we needed to include a total of 280 patients. We increased this number by 15% because of loss to follow-up. A pharmacist specialized in nutrition selected the patients and carried out the interventions. He was one of the contributors to the Spanish Society of Community Pharmacy Recommendations22 which were applied in the intervention. The pharmacist identified patients older than 18 years old with obesity-related comorbidities, based on their prescribed medication, and determined their willingness to participate in the program. Other strategies included recruiting patients who purchased weight-loss products or who enquired about weight-loss services. Pregnant women and patients with sudden weight gain or loss or severe uncontrolled diseases were considered not eligible. Informed consent was obtained by patients who met inclusion criteria once the pharmacist had explained the structure and objectives of the service. The pharmacist collected the patient’s contact details and set an appointment at the patient’s convenience for the baseline visit. He established the second visit two months after the baseline visit. The final visit was established by the pharmacist according to patients’ health status. However, it was never longer than 12 months after the baseline visit. Given that most of the patients included in the study received chronic medication, the pharmacist established the two-month and final visits in accordance with their medication collection date. This strategy limited the loss of follow-up.

Interventions

All the patients included in the program had at least three visits: 1) baseline visit, 2) two-month visit and 3) final visit. Each visit consisted of face-to-face interviews with the pharmacist in charge of the service, with a mean duration of 60 minutes. Patients could organize additional visits with the pharmacist by e-mail, telephone and/or WhatsApp if necessary. The objectives of this program were: 1) To reduce body fat and maintain weight loss; 2) To decrease metabolic and cardiovascular risk factors; 3) To detect, solve and/or improve the control of related minor ailments, and 4) To conduct a medication review aimed at the detection and resolution of Drug-Related Problems (DRP) and Negative Clinical results (NCR). To perform the interventions, the pharmacist followed the Spanish Society of Community Pharmacy recommendations.22 This guide aims to support the community pharmacist in monitoring overweight and obesity in people over 18 years of age with a BMI between 25 and 40 Kg/m2, with or without risk factors associated, and also in those whose BMI is less than 25 Kg/m2, but with some risk factors. The guide is based on the Ministry of Health Consensus on Pharmaceutical Care (2001)23 and on the Pharmaceutical Care Forum Consensus Document (2008).24 According to these recommendations, interventions were based on the patient’s BMI. In patients with BMI ≥30, their physicians were informed before the patient inclusion in the program. This intervention follows a pyramid-shaped representation which indicates a progressive increase in the complexity of the interventions as the patient’s BMI increases, together with the higher prevalence of risk factors and comorbidities. Interventions involved the following areas: diet, physical exercise and medication review (Figure 1). In each visit, the patients received a written description of the diet to be followed and a description of healthy habits applied to each particular patient.
Figure 1

Pharmacist’s interventions according to the patient’s BMI.10

Pharmacist’s interventions according to the patient’s BMI.10

Diet

Dietary interventions consisted of two stages. The first consisted of advice on healthy habits and a list of recommended food, customized according to the physiological characteristics and associated pathologies of the patient. The second stage consisted of adapting the patient´s calorific needs to his lifestyle, and preferences taking their comorbidities and/or risk factors into consideration.

Physical Exercise

The main objectives regarding physical exercise were to motivate the patient to reduce sedentary lifestyle by progressively increasing the intensity and duration of caloric burning physical activity.

Medication Review

The pharmacist interviewed all patients about their health problems and their use of medicines. A review and assessment of this information was undertaken to identify any Negative Clinical Results associated with medication (NCR) and their possible causes (Drug-Related Problem, DRP). DRP and NCR were classified according to Spanish Forum Community Pharmacy classification.25 In this classification, DRP are defined as process elements increasing medication user’s risk of suffering from negative outcomes related to medicines and NCR as negative patient health outcomes that are not in accordance with the objectives of the pharmacotherapy, possibly associated with the use of medicines. In addition, if the patient was following any treatment for overweight or obesity, which is common in patients with BMI over 30, they carried out an evaluation of its effectiveness and safety. Pharmacist interventions consisted in the formulation of recommendations to patients and/or physicians, and referrals if necessary, and advice regarding medicine´s optimization. In the case of detecting any untreated minor ailment, the pharmacist applied the methodology for the Pharmaceutical Indication Service.25

Data Collection

In the baseline visit, the pharmacist conducted an in-depth patient interview using a structured questionnaire, to obtain the necessary minimum basic data set. Information collected included: 1) sociodemographic and anthropometric variables: age, sex, height, weight, body mass index (BMI) and waist circumference; 2) Dietary history and lifestyle habits, including food intake during the previous 24 hours; 3) Biochemical measurements: Cholesterol, LDL-cholesterol, Triglycerides, Blood glucose and Glycosylated hemoglobin. These determinations were carried out in the community pharmacy using Reflotron Plus biochemical analyzer (Roche Diagnostics, Switzerland); 4) presence of minor ailments, such as digestive (constipation, reflux, flatulence or dyspepsia), mood disorders or insomnia; and 5) Other clinical and therapeutic data needed for the medication review: data regarding prescribed and over the counter (OTC) medicines, and patient´s knowledge about their treatment. The pharmacist also assessed treatment adherence using the Morisky-Green test. Goal settings and Dietary and Pharmacotherapy action plans were provided at the end of the baseline visit. Body weight (kg) was measured using an Omron Karada ScanSeca digital scale. Height (cm) was measured using a Charder HM200P Portstad portable stadiometer. Waist Circumference (cm) was obtained using a tape measure, mid-way between the lower rib margin and the iliac crest. Two seated blood pressure (mmHg) measurements were taken 5 min apart using an Omron M6 Confort IT digital blood pressure monitor. The mean of two measurements for waist circumference and blood pressure were recorded. The followed-up visit used to take place when the patient attended the pharmacy to collect their prescribed medicines, previous appointment with the pharmacist. In the two-month visit, patients were interviewed again with the same procedure as in the baseline visit, in order to evaluate progresses and discuss barriers to change. The results of the different action plans were re-assessed, by evaluating the impact of the interventions and identifying unsolved problems or remaining issues. The pharmacist registered anthropometric (weight, BMI and waist circumference) and biochemical measurements (cholesterol, LDL-cholesterol, triglyceride, blood glucose and glycosylated hemoglobin levels) and provided tailored advice regarding diet and physical activity. At final visit, the pharmacist carried out a final clinical measurement, following the same procedure as in previous visits (interview and anthropometric and biochemical measurements) and discussed how to maintain weight loss and healthy habits.

Statistical Analysis

Patients were individualized by means of dissociated, non-identifiable, nonsense codes for any other information system and that did not allow the identification of individual patients or their crossing with other databases. The database did not contain any data that allowed the identification of patients and the research team did not have – neither from these databases nor from other sources – patient identification information. Statistical precision was determined through the calculation of 95% confidence intervals using the appropriate method according to the type of measurement and the available data. All analyses were carried out with the statistical program R. A descriptive analysis was made of all the study variables, calculating the mean, standard deviation (variables were tested for normality using the Shapiro–Wilk tests; and parametric tests were performed when data did not violate the normality assumptions), total frequency and relative frequency of each category; 95% confidence intervals were calculated for the proportions. Mean changes of primary outcome measures and 95% confidence intervals (CI) were determined. Repeated measures analysis of variance was used to assess changes. In categorical variables, we applied the Chi-squared test to determine any change in the 3 periods of study.

Results

A total of 330 patients were included in the weight management program in the community pharmacy at baseline and we had no losses to follow-up. Mean follow-up was 8.2 months (sd 2.3) which included at least two visits per patient after the baseline visit: mean period between the two-month visit and the final visit was 5.3 months (sd 2.9). Mean age was 51.3 (sd 15.3) years old and 264 (80.0%) of the patients were women. The majority were Spanish (307, 93.0%) and 175 (53.0%) never-smokers.

Evaluation of Patients’ Clinical Variables During Follow-Up

Anthropometric Variables

There was a statistically significant reduction in anthropometric measures (weight, BMI, and waist circumference) at final visit compared with baseline visit (p<0.001) (Table 1). Three hundred and twenty-two patients (92,3%) have lost weight and 7 patients (2,0%) have gained weight at final visit compared with baseline visit.
Table 1

Evaluation of Patients’ Clinical Variables During the Follow-Up

Variable (n, %)Baseline Visit2-Month VisitFinal VisitP-value (2-Month Visit-Baseline Visit)P-value (Final Visit-2-Month Visit)P-value (Final Visit-Baseline Visit)
Anthropometric variables

BMI

<0.001<0.001<0.001

Normal weight (18–24.9)

35 (10.6)59 (17.9)75 (22.7)

Overweight class I (25–26.9)

51 (15.5)70 (21.2)76 (23.0)

Overweight class II (27–29.9)

78 (23.6)71 (21.5)66 (20.0)

Obesity class I (30–34.9)

93 (28.2)71 (21.5)64 (19.4)

Obesity class II (35–39.9)

47 (14.2)41 (12.4)35 (10.6)

Obesity class III (>40)

26 (7.9)18 (5.5)14 (4.2)
Weight (kg) (mean. sd)81.6 (17.9)77.9 (17.3)76.2 (16.9)0.0140.190<0.001
Waist circumference (cm) (mean. sd)103.9 (14.1)101.6 (13.9)100.2 (13.7)0.0260.165<0.001
Biochemical variables
Cholesterol0.0290.012<0.001

Normal

297 (90.0)311 (94.2)324 (97.2)
 ∘ Without treatment264280299
 ∘ With treatment333125

Uncontrolled

33 (10.0)18 (5.5)6 (1.8)

Not available

1 (0.3)
LDL cholesterol0.0060.6040.001

Normal

291 (88.2)305 (92.4)313 (94.8)
 ∘ Without treatment264276289
 ∘ With treatment272924

Uncontrolled

26 (7.9)10 (3.0)8 (2.4)

Not available

13 (3.9)15 (4.5)9 (2.7)
Triglycerides0.1050.1550.004

Normal

317 (96.1)323 (97.9)327 (99.1)
 ∘ Without treatment313319325
 ∘ With treatment442

Uncontrolled

13 (3.9)6 (1.8)2 (0.6)

Not available

1 (0.3)1 (0.3)
Blood glucose0.4010.6330.193

Normal

316 (95.8)320 (97.0)322 (97.6)
 ∘ Without treatment306311314
 ∘ With treatment1098

Uncontrolled

14 (4.2)10 (3.0)8 (2.4)
Glycosylated hemoglobin0.6890.9940.683

Normal

315 (95.5)317 (96.1)318 (96.4)
 ∘ Without treatment306309310
 ∘ With treatment988

Uncontrolled

14 (4.2)12 (3.6)12 (3.6)

Not available

1 (0.3)1 (0.3)
Evaluation of Patients’ Clinical Variables During the Follow-Up BMI Normal weight (18–24.9) Overweight class I (25–26.9) Overweight class II (27–29.9) Obesity class I (30–34.9) Obesity class II (35–39.9) Obesity class III (>40) Normal Uncontrolled Not available Normal Uncontrolled Not available Normal Uncontrolled Not available Normal Uncontrolled Normal Uncontrolled Not available The number of patients with obesity (including class I, II and III) at baseline visit was 166 (50.3%) and 113 (34.2%) on the final visit. The number of patients with normal weight (35, 10.6%) rose to 75 (22.7%) on the last visit (p<0.001). During the follow-up period (final visit-baseline visit), the BMI mean difference was −2.1 (sd. 1.8) (maximum −3.2) and 322 (92.3%) patients showed a reduction in BMI. Mean weight difference between final and baseline visit was −5.4 Kg (95% CI −7.4, −2.6) (maximum −32.0 kg) and −3,65 kg (95% CI −5.0, −2.0) between two-month and baseline visit. In addition, 125 (37.9%) patients showed a weight reduction higher than 5% on final visit compared with baseline visit. Mean waist circumference difference was −4.1 cm (sd. 6.1 cm) during the whole follow-up period.

Biochemical Variables

Cholesterol and LDL-cholesterol levels also showed a significant reduction on two-month visit and final visit compared with baseline visit: of 33 people with uncontrolled cholesterol level at baseline visit, 27 (81.8%) showed a normal level on the final visit (p<0.001). At baseline visit, 291 (88.2%) had normal LDL-cholesterol levels and this percentage rose in the final visit (313, 94.8%) (p=0.001). Patients with uncontrolled triglyceride showed a significant reduction on final visit compared with baseline visit (p=0.004).

Evaluation of Other Patients’ Health Problems During Follow-Up

At baseline, 226 patients (68,5%) had at least one minor ailment: 30.6% of patients had mood disorders, 19.0% insomnia and 18.8% digestive disorders, which were untreated in 42.6%, 27.0% and 35.5% of cases, respectively (Table 2).
Table 2

Evaluation of Other Patients’ Health Problems During the Follow-Up

Health ProblemBaseline Visit (N=330)2-Month Visit (N=330)Final Visit (N=330)P-value (2-Month Visit-Baseline Visit)P-value (Final Visit−2-Month Visit)P-value (Final Visit-Baseline Visit)
Mood disorders0.3910.1270.017

No

229 (69.4)239 (72.4)256 (77.5)

Yes

101 (30.6)91 (27.6)74 (22.5)
 ∘ No treatment44 (13.3)2 (0.6)1 (0.3)
 ∘ Controlled with effective treatment32 (9.7)83 (25.2)69 (21.0)
 ∘ Ineffective treatment25 (7.6)6 (1.8)4 (1.2)
Insomnia-0.1790.179

No

267 (81.0)267 (81.0)280 (84.9)

Yes

63 (19.0)63 (19.0)50 (15.1)
 ∘ No treatment17 (5.1)3 (0.9)0 (0)
 ∘ Controlled with effective treatment33 (10.0)53 (16.1)45 (13.6)
 ∘ Ineffective treatment13 (3.9)7 (2.1)5 (1.5)
Digestive disorders0.1440.4520.024

No

268 (81.2)282 (85.5)289 (87.6)

Yes

62 (18.8)48 (14.5)41 (12.4)
 ∘ No treatment22 (6.7)4 (1.2)
 ∘ Controlled with effective treatment39 (11.8)44 (13.3)41 (12.4)
 ∘ Ineffective treatment1 (0.3)
Evaluation of Other Patients’ Health Problems During the Follow-Up No Yes No Yes No Yes There was a significant difference in the prevalence of mood and digestive disorders at final visit compared with baseline visit. Of the 101 (30.6%) patients with mood disorders and the 62 (18.8%) patients with digestive disorders at baseline, 74 (22.5%) 69 of them controlled with treatment (21.0%) and 41 of them controlled with (12.4%) respectively, reported them at final visit (p=0.017 and p=0.024, respectively).

Medication Management During Follow-Up

At baseline visit, 204 (61.8%) patients were treated with over 3 medications (mean 3.7, sd 2.6) and this percentage increased at final visit (240, 72.7%). Adherence to treatment increased during the follow-up period: 131, 64.5% patients at baseline visit and 217, 90.4% at final visit (Table 3).
Table 3

Description of the Medication Use in the Patients During the Followed-Up

VariablesBaseline Visit2-Month VisitFinal Visit
N%N%N%
People with at least 1 medication20461.823170.0%24072.7
Medications per person (mean. sd)*3.72.63.62.73.62.8
Adherence to treatment

Yes

13164.521291.821790.4

No

7235.5135.693.8

No Data

10.562.6145.8

Note: *In those people with at least 1 medication.

Description of the Medication Use in the Patients During the Followed-Up Yes No No Data Note: *In those people with at least 1 medication. A total of 186 (56.4%) patients had DRP at first visit (308 DRP) and 31 (9.4%) patients at two-month visit (27 DRP). No medication-related problems were detected at final visit (Table 4). The most commonly found DRP belongs to the category “insufficiently treated health problem” (188, 61.2%) followed by “dose inadequate, pattern and/or duration” (89, 28.8%).
Table 4

Description of the Drug-Related Problems and Negative Clinical Adverse Drug Reactions Detected in the Patients at Baseline and During the Followed-Up

Variables (n. %)Baseline Visit2-Month Visit
N%N%
Patients with drug-related problems18656.4278.19
Drug related problems30827

Incorrect administration

20.6

Personal characteristics

10.3

Inadequate conservation

10.3

Contraindication

10.3

Dose inadequate, pattern and/or duration

8928.8814.8

Duplicity

10.3

Non compliance

113.6

Interactions

20.6

Other health problems that affect medication

20.6

Probability of adverse effects

103.3

Insufficiently treated health problem

18861.31970.3
Patients with negative clinical results associated with medication18656.4226.7
Negative clinical results associated with medication30827

Necessity

19654.92177.8
 ∘ Untreated condition1922074.1
 ∘ Unnecessary treatment413.7

Effectiveness

10038.6622.2
 ∘ The drug is ineffective for non-quantitative motives30
 ∘ The drug is ineffective for quantitative motives70622.2

Safety

206.5
 ∘ The drug is unsafe for non-quantitative motives9
 ∘ The drug is unsafe for quantitative motives11
Intervention to deal with the negative clinical results associated with medication30827

Pharmacist’s recommendation headed for patient

19463.01659.3

Pharmacist’s recommendation headed for physician

6420.81141.7

Both

5016.2
Description of the Drug-Related Problems and Negative Clinical Adverse Drug Reactions Detected in the Patients at Baseline and During the Followed-Up Incorrect administration Personal characteristics Inadequate conservation Contraindication Dose inadequate, pattern and/or duration Duplicity Non compliance Interactions Other health problems that affect medication Probability of adverse effects Insufficiently treated health problem Necessity Effectiveness Safety Pharmacist’s recommendation headed for patient Pharmacist’s recommendation headed for physician Both Of the 308 NCR associated with medication detected at baseline visit, 169 (54.9%) belong to the category “necessity”, 119 (38.6%) to “effectiveness” and 20 (6.5%) to “safety”. At two-month visit, 27 negative clinical results associated with medication were detected. At baseline visit, the main intervention in patients with NCR associated with medication was a pharmacist’s recommendation aimed at the patient (194, 63.0%) followed by pharmacist’s recommendation aimed at physician (64, 20.8%) and both of them (50, 16.2%). At two-month visit, 252 of the NCR associated with medication detected at baseline were solved (81.8%).

Discussion

This study describes the evaluation of a patient-centered model to control overweight, obesity and other concomitant health problems in a Spanish community pharmacy. In this model, patients achieved a significant reduction in weight and waist circumference after two months of follow-up. Patients’ cholesterol, LDL-cholesterol and triglyceride levels also showed a significant reduction. The pharmaceutical intervention detected 308 negative clinical results associated with medication and the number of patients with mood and digestive minor ailments significantly decreased during the follow-up period. According to previous evidence, a reduction of 5% from initial weight in people with overweight and obesity is sufficient to gain some health benefits.26 In our study, nearly 20% of the patients achieved this weight reduction at two-month visit and nearly 40% at the end of follow-up. This proportion was similar to other weight management programs in the community pharmacy.17 A previous pilot study in Australian community pharmacies showed that 32% of participants achieved a weight loss of 5% after three months of follow-up.18 In another study, carried out in community pharmacies in the UK, around a quarter of the patients included in the intervention achieved 5% reduction in body weight at 3 months.19 According to a systematic review on studies carried out in community pharmacies,12 the size of mean change in weight in our study was similar to that in previous studies (−3,65 kg, 95% CI −5.0, −2.0) at two-month visit and higher (−5.4 kg, 95% CI −7.4, −2.6) at final visit compared with baseline visit. In the Australian study, where 65% of the participants completed the program, mean change in weight was −3.5 kg (95% CI −4.8, −2.2) after three months of follow-up.18 In the study reporting UK pharmacy-based weight management intervention, the size of mean change in weight was −3.07 kg, but there was a high loss to follow-up (61% at 3 months).19 Patients in our study also showed a significant weight reduction during a mean follow-up of 8 months while in previous studies a long-term (>6 months) weight loss maintenance was not achieved.14,15 In Spain, several clinical trials at the primary care setting have also focused on weight management. For instance, in the Predimed-Plus study, weight loss >5% occurred in 34% of participants and a mean difference of −2.5 kg (95% CI −3.1 to −1.9) was shown after 12 months of follow-up.27 In another study in primary care setting where the intervention was limited to a motivational intervention, a 5% reduction in weight was achieved by 22.6% of patients at 12 months of follow-up (no statistically significant differences with the control group) and nearly 50% of patients were lost to follow-up.21 A possible explanation for these differences with previous studies carried out in community pharmacies or in Spanish primary care centers could be that we had no losses to follow-up while in these previous studies the average participant dropout rate ranged from 8.3% to 79%. The high retention of patients in our study could be due to this ongoing follow-up taking place when patients on regular prescription medicines collected them in the community pharmacy. Community pharmacists are, therefore, ideally placed to provide weight management advice and, according to previous evidence, a relationship of trust with the pharmacist could explain the high adherence rate.28 Cholesterol, LDL-cholesterol and triglyceride levels significantly decreased during the follow-up period. Previous research has also reported that modest weight loss (3–5 kg) through a low-carbohydrate diet after 6 months of intervention can improve other markers related with cardiovascular disease.16 We did not observe changes in other parameters such as blood glucose or hemoglobin glycosylate because they take longer to be reflected. According to a previous scoping review,17 weight management programs carried out in community pharmacies have until now been centered on behavioral counselling given to the patients. However, none of them have included in the intervention the evaluation of other chronic diseases and optimization of medication. In this study, we wanted to take advantage of the pharmacist’s role as an expert in medication, to review patients’ prescriptions. The number of negative clinical results associated with medication at baseline visit was lower than those shown in previous literature.29,30 In our study, a total of 186 (56.4%) patients had drug-related problems (DRP) at first visit. In contrast, in a previous study in German pharmacies, 95% of the 912 patients evaluated had at least one DRP or information need.29 Another study in the Netherlands30 evaluated the effect of Comprehensive Medication Review (CMR) in community pharmacies and pharmacists detected on average 2.9 (sd 2.1) DRPs per CMR. The lower rates of DRP in our study (but still, relevant), could be explained by the characteristics of our patients who wanted to participate in an interventional study to improve their health status and were therefore more aware of their health problems and medication than the general population. The most frequently found negative clinical result belongs to the category of necessity (untreated condition) and the second most frequent finding belongs to the category of effectiveness (the drug is ineffective for quantitative and for non-quantitative reasons). In fact, a significant percentage of patients with some minor ailments such as mood and digestive disorders or insomnia either did not have a prescribed treatment or the treatment was ineffective. These results are different from previous studies where the most frequent problem was related with the presence of adverse effects.31,32 However, patients in previous studies consumed on average more medications than those in our study and the probability of adverse effects was greater. The evaluation of the negative results related with medication during the follow-up period indicates that community pharmacists can identify patients with these problems and solve many of them in the course of a medication review. The high prevalence of DRP found in our study justifies the integration of the medication review in a weight management program, as the pharmacist detected at least one opportunity for the improvement of pharmacotherapy in more than one of each two of the patients recruited. Furthermore, this medication review resulted in a lower prevalence of patients with minor ailments such as mood or digestive disorders (constipation, reflux or flatulence). The first-line treatment of minor ailments usually includes advices about dietary and lifestyle modifications.33 The problem is that in most cases at the community pharmacy, these advices are given quickly when the drug is being dispensed and the impact of the intervention on patient’s health is probably very low. Pharmacists use to be more comfortable providing lifestyle advices in conjunction with conversations about medicines.34 So, to provide a more individualized approach, these interventions should be implemented in the context of specific Pharmaceutical Services. The main limitation of this study is the application of a single-group intervention study with repeated measures without control group that can limit the results. However, we wanted to evaluate the implementation of a global pharmaceutical service in daily clinical practice. In addition, given the potential efficacy of an intervention related with weight management and medication review to improve patients’ health, we chose this design for ethical reasons. We showed the results from a single community pharmacy, and our findings might not be generalizable. Nevertheless, the sample characteristics were comparable with the reference population in other similar studies, including gender distribution.35 We used Pharmaceutical Care Forum in Community Pharmacy25 classification to evaluate medication because it is validated for use in Spain. Very few studies have used this classification, and most of them were carried out in institutionalized people whose medication is more strictly controlled. Thus, the comparison with previous literature was limited. We did not estimate the cost of pharmaceutical services and time spent with services. Further studies including economic aspects are needed in order to update the current model of pharmaceutical services.

Conclusion

This study demonstrates that the implementation of a patient-centered weight management model had a positive impact on the improvement of anthropometric, clinical and therapeutic parameters. In addition, the medication review allows detecting and resolving untreated conditions, resolve minor ailments, and improve the adherence to the treatments and other morbidity situations that interfere with the patient’s quality of life. The community pharmacy, as a place where the patient usually goes to seek advice for weight-loss and/or to collect medication, is the most accessible healthcare point to provide weight and lifestyle management services, as well as to prevent, detect and resolve opportunities for improvement the quality of pharmacotherapy in these patients.
  27 in total

1.  Effectiveness of a community pharmacy weight management programme.

Authors:  Helen F Boardman; Anthony J Avery
Journal:  Int J Clin Pharm       Date:  2014-06-11

2.  Defining professional pharmacy services in community pharmacy.

Authors:  Joanna C Moullin; Daniel Sabater-Hernández; Fernando Fernandez-Llimos; Shalom I Benrimoj
Journal:  Res Social Adm Pharm       Date:  2013-04-13

3.  Large scale implementation of clinical medication reviews in Dutch community pharmacies: drug-related problems and interventions.

Authors:  Thomas G H Kempen; Caroline H P A van de Steeg-van Gompel; Petra Hoogland; Yuqian Liu; Marcel L Bouvy
Journal:  Int J Clin Pharm       Date:  2014-04-16

4.  Developing and testing evidence-based weight management in Australian pharmacies: A Healthier Life Program.

Authors:  Irene S Um; Ines Krass; Carol Armour; Timothy Gill; Betty B Chaar
Journal:  Int J Clin Pharm       Date:  2015-04-29

5.  Efficacy of an over-the-counter intervention follow-up program in community pharmacies.

Authors:  Nicole Bosse; Matthew Machado; Amee Mistry
Journal:  J Am Pharm Assoc (2003)       Date:  2012 Jul-Aug

6.  Community pharmacist-led interventions and their impact on patients' medication adherence and other health outcomes: a systematic review.

Authors:  Aleksandra Milosavljevic; Trudi Aspden; Jeff Harrison
Journal:  Int J Pharm Pract       Date:  2018-06-21

7.  The Asheville Project: long-term clinical, humanistic, and economic outcomes of a community-based medication therapy management program for asthma.

Authors:  Barry A Bunting; Carole W Cranor
Journal:  J Am Pharm Assoc (2003)       Date:  2006 Mar-Apr

Review 8.  Effect of degree of weight loss on health benefits.

Authors:  G Blackburn
Journal:  Obes Res       Date:  1995-09

9.  A qualitative study of English community pharmacists' experiences of providing lifestyle advice to patients with cardiovascular disease.

Authors:  Kirsty Morton; Helen Pattison; Chris Langley; Rachael Powell
Journal:  Res Social Adm Pharm       Date:  2014-05-09

10.  Qualitative and quantitative research of medication review and drug-related problems in Hungarian community pharmacies: a pilot study.

Authors:  András Szilvay; Orsolya Somogyi; Attiláné Meskó; Romána Zelkó; Balázs Hankó
Journal:  BMC Health Serv Res       Date:  2019-05-03       Impact factor: 2.655

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